Video Codec Round-Up 2023 – Part 14: av1_amf (AV1 AMD Advanced Media Framework)

While this round-up did not include av1_qsv due to not having an Intel ARC card, the results from av1_nvenc shows the encoder leading all hardware encoders so far, but being limited in bitrate and quality in the CQ mode, while still lagging behind libx265 in most instances.

The motivation for hardware encoding is still strong, because of the inordinate amount of CPU time required for a good AV1 encode. I have access to team red’s video encoding hardware, so let’s see how it compares with team green.

Encoding was performed on the Windows platform on the AMD Radeon 780M in my Lenovo Legion 5 Slim. The encoding options were as follows:

-rc 0 -qp_p [qp] -qp_i [qp] -quality [quality] 
-header_insertion_mode 1

Encoding is performed in Quantisation Parameter (QP) mode which is not as sophisticated or as efficient as constant quality/rate-factor bitrate control modes as AMF doesn’t appear to support CQ or CRF at this time. While many quality-based modes change QP dynamically based on picture type, I’ve opted to have the same QP for P and I frames. There appears to be no options for B-frames, suggesting perhaps no B-frame support. I did try the use of the -preanalysis option, but unfortunately, I received some errors (suggesting some kind of queue full overflow) during the encode and so I decided against using it. The header insertion mode flag is set to make the file seekable in a media player. Only QP values from 8 to 248 in steps of 8 have been tested.

One issue appears that the AMD video encoder operates on a fixed block size which results in 1920×1080 sources being encoded as 1920×1082 which may cause issues. Another thing to note is the [email protected] profile which is much higher than the [email protected] created by libaom_av1 and av1_nvenc.

The encoded files had the following properties in MediaInfo:

Video
ID : 1
Format : AV1
Format/Info : AOMedia Video 1
Format profile : [email protected]
Codec ID : V_AV1
Duration : 3 min 46 s
Width : 1 920 pixels
Height : 1 080 pixels
Original height : 1 082 pixels
Display aspect ratio : 16:9
Frame rate mode : Constant
Frame rate : 23.976 (24000/1001) FPS
Color space : YUV
Chroma subsampling : 4:2:0
Bit depth : 8 bits
Writing library : Lavc60.18.100 av1_amf
Default : No
Forced : No
Color range : Limited

While it is noted the actual width and height are 1920×1080, ffmpeg appears to decode the full 1920×1082 from the file causing issues with video quality metrics comparisons. Therefore, I had to use a different command line to perform quality tests that would crop out the top 1920×1080 frame from the decoded result –

ffmpeg -i [distorted] -i [reference] -lavfi 
[0:v]crop=1920:1080:0:0[main];
[main][1:v]libvmaf=log_path=[log]:feature='name=float_ssim|name=psnr' 
-f null -

Video Quality vs QP at Various Quality

This section compares the encode result based on different quality settings, which is the AMF equivalent of preset or encoding speed.

It appears the PSNR has a breakpoint around QP=92, below which the PSNR increases almost exponentially, above which the PSNR decreases nearly linearly. A PSNR of 45dB is achieved at QP=56 and a PSNR of 40dB is achieved at QP=128. There is almost no difference with different quality settings.

The SSIM score seems to show a classical trajectory, with all quality settings being closely bunched together. An SSIM of 0.99 is achieved at QP=144, 0.995 at QP=112 and 0.999 at QP=32.

The VMAF score shows a similar trajectory, seemingly tailing off around QP=136. A VMAF of 99 is achieved at QP=88 and 99.5 at QP=56.

Best Video Quality vs QP

Encoding at quality 0 is considered “best”. The following results show the results for quality 0 only.

It seems that below QP=56, it seems the worst frame results improve faster than the best frame. Above QP=232, the best frame results take a dive, otherwise everything seems to scale somewhat proportionally.

The SSIM scores trend rather smoothly with QP, although the best frame SSIM does degrade visibly on the graph with higher QP, suggesting the high QP results may look rather poor.

Based on VMAF score, it seems that worst frames hit a “floor” at lower QPs, which improves slower below QP=104. Above that threshold, it seems worst frames tail off linearly. This suggests that perhaps QP=56 to QP=104 is a sane range to use.

Bitrate vs QP at Various Quality

Unlike the av1_nvenc encode, it seems the bitrate does scale with QP value, being very similar across different encoding speed (quality) selections. The birate ranges from a healthy 92.1Mbit/s down to 0.5Mbit/s.

Video Quality vs Bitrate at Various Presets + Cross-Codec

The interesting part is to see how it compares across other codecs.

The PSNR result is not great, as it overlaps and tails libvpx-vp9, with even hevc_nvenc being quite comparable. The av1_nvenc results still lead by a notable margin.

The SSIM metrics seem to rate this codec even worse than hevc_nvenc and comparable to and occasionally worse than libx264. That’s not a good look.

Based on VMAF, at low bitrates, it is only a match for hevc_nvenc, while at higher bitrates, it is only a match for libx264. It consistently trails libvpx-vp9 and av1_nvenc. How unfortunate.

Image Comparison

Let’s take a look at some of the images.

  • Frame 844
    • At QP=40, it is clear that the texture/grain in the gradient has been smoothed out. At QP=104, some edge ringing and noise is apparent. Dark hair details seem crushed between QP=72~88.
  • Frame 1347
    • At QP=40, the background bokeh looks a bit splotchy. At QP=72, some background hair is lost and some blockiness/ringing is visible. Foreground hair detail is also somewhat clumped at QP=72.
  • Frame 3733
    • At QP=40, hair detail is noise reduced and softened, by QP=56 there is some sort of moire pattern emerging and by QP=72, it is very smooshed. Blockiness is emerging from QP=72~88.
  • Frame 4415
    • At QP=40, fine hair detail seems to have been smoothed out and texture in the background smoke is softened. At QP=72~88, the arm hair shape seems to have changed and smoothed almost as if partly shaved. Crown hair is also smoothed at QP=40, looking almost like comic-book plastic by QP=56.

The results are a bit interesting – there is quite a bit of smoothing and ringing/noise, but it seems perhaps QP=40 and QP=56 might be a good range for non-critical viewing with a good level of quality.

Conclusion

It would seem that av1_amf in QP mode is not as efficient as av1_nvenc in CQ mode and in fact, really only reaches hevc_nvenc and libx264 levels of compression efficiency depending on the metric. This level of performance, while better than some hardware encoders, is not really competitive with software encoders of even a previous generation which makes it unattractive for non-time-critical scenarions (e.g. offline transcoding).

Viewing of the images suggests that perhaps QP=40 (23.4Mbit/s) to QP=56 (16.2Mbit/s) is a good range for quality although there is quite a bit of smoothing in the images. At higher QPs, it seems that moire patterns, ringing on sharp edges becomes apparent.

Unfortunately, the encoder is producing files with 1920×1082 resolution that have 1920×1080 active area which may cause problems depending on the intended use as some devices or services may reject it.

Encode Stats (for this Part)
Total Number of Encodings: 124
Total Size: 43,627,667,440 bytes

Encode Stats (for all Parts up to now)
Total Number of Encodings: 5,619
Total Size: 1,973,359,126,157 bytes

This post is part of a series. See the main index at the bottom of Part 0.

Appendix: Raw Data

QP,Quality,Bitrate (Mbit/s),psnr_y_min,psnr_y_max,psnr_y_mean,psnr_y_hmean,float_ssim_min,float_ssim_max,float_ssim_mean,float_ssim_hmean,vmaf_min,vmaf_max,vmaf_mean,vmaf_hmean
8,0,91.19838532,51.145647,59.729353,52.199957,52.19308,0.999329,0.99997,0.99977,0.99977,95.822305,100,99.93567,99.934734
16,0,55.56006343,48.560406,58.460542,49.869833,49.851229,0.998396,0.999935,0.999523,0.999523,95.270446,100,99.892426,99.890636
24,0,39.02517361,46.095996,57.770056,48.428542,48.391062,0.997642,0.999884,0.999277,0.999277,94.702116,100,99.838733,99.835698
32,0,28.72117504,44.249227,57.07534,47.275667,47.213937,0.997235,0.999857,0.999009,0.999009,94.280299,100,99.767696,99.762675
40,0,22.45001171,42.894573,56.511581,46.366746,46.281454,0.996955,0.999769,0.99873,0.998729,93.734237,100,99.690514,99.682909
48,0,18.2725049,41.600482,56.15837,45.627066,45.520444,0.996604,0.999705,0.998438,0.998438,93.252175,100,99.603465,99.592392
56,0,15.46740024,40.601471,55.680244,45.052235,44.929722,0.99601,0.999644,0.998169,0.998169,92.685907,100,99.519864,99.505073
64,0,13.04297424,39.600407,55.292626,44.484711,44.345567,0.995181,0.999572,0.99785,0.99785,91.895134,100,99.384537,99.363499
72,0,11.44938343,38.847378,55.04533,44.070544,43.917802,0.994501,0.999526,0.99757,0.997569,91.522583,100,99.276557,99.250283
80,0,10.06671667,38.121094,54.718522,43.617087,43.45048,0.993585,0.999452,0.997238,0.997238,90.648298,100,99.136044,99.102796
88,0,9.088651247,37.547502,54.538566,43.24758,43.070412,0.992587,0.999399,0.996933,0.996932,90.235386,100,99.000523,98.960073
96,0,8.15473313,36.954965,54.270759,42.840035,42.651107,0.991672,0.99934,0.996559,0.996558,89.821942,100,98.829512,98.779635
104,0,6.859467478,36.137738,53.865897,42.176661,41.970352,0.989461,0.999187,0.995842,0.995841,86.974021,100,98.48491,98.414514
112,0,5.97129645,35.462098,53.502695,41.59153,41.369237,0.987598,0.999077,0.995108,0.995107,86.698069,100,98.088245,97.992685
120,0,5.296564528,34.859451,53.122889,41.070185,40.833909,0.985592,0.998956,0.994343,0.994342,85.542947,100,97.653517,97.529058
128,0,4.53498521,34.102916,52.534316,40.382039,40.128642,0.982373,0.99883,0.99313,0.993128,83.438299,100,96.819227,96.636605
136,0,4.02039399,33.463385,52.553473,39.846073,39.57636,0.979989,0.998689,0.991963,0.99196,81.578899,100,96.031388,95.792782
144,0,3.458229914,32.716938,52.293983,39.162697,38.875779,0.975551,0.998494,0.990284,0.99028,77.673783,100,94.758913,94.438337
152,0,3.005923854,32.012177,51.886936,38.529904,38.227511,0.971132,0.998289,0.988384,0.988378,73.755875,100,93.226079,92.816738
160,0,2.612595942,31.2191,51.75824,37.882932,37.566275,0.965665,0.998043,0.986094,0.986084,69.286655,100,91.292269,90.782043
168,0,2.268324819,30.357776,51.36647,37.228236,36.897298,0.958883,0.997681,0.983377,0.983361,64.084264,100,88.952195,88.33469
176,0,1.972374792,29.494743,50.78169,36.564643,36.221618,0.951374,0.997301,0.980056,0.980031,59.285849,100,86.135858,85.412892
184,0,1.709412268,28.661608,50.326307,35.895666,35.542368,0.942838,0.996856,0.976132,0.976094,53.765289,100,82.876937,82.066777
192,0,1.484928402,27.875049,49.896887,35.225235,34.861962,0.933086,0.99623,0.971451,0.971393,48.618631,100,78.980586,78.090391
200,0,1.286114657,27.063146,49.079862,34.557637,34.185294,0.921527,0.995413,0.965863,0.965776,42.77175,100,74.999774,74.019476
208,0,1.111643528,26.284447,48.785663,33.903064,33.518824,0.909715,0.994742,0.959348,0.959217,37.956812,100,70.829261,69.748358
216,0,0.961316743,25.478638,48.260123,33.211025,32.819365,0.897913,0.994569,0.95156,0.951367,33.902533,100,66.454097,65.254066
224,0,0.825834974,24.637232,47.506995,32.443094,32.047608,0.87958,0.994261,0.941656,0.941365,31.233355,100,61.493968,60.125468
232,0,0.693567832,23.792384,46.50287,31.661553,31.258204,0.855903,0.993209,0.928995,0.928557,28.381024,100,55.928468,54.325696
240,0,0.574282017,22.843195,45.271327,30.725442,30.321986,0.828728,0.99243,0.912029,0.911335,25.216908,100,49.593229,47.656014
248,0,0.456708943,21.720692,43.067141,29.674776,29.271572,0.787561,0.990677,0.888339,0.887201,16.97415,100,42.26571,39.813873
8,30,92.0962412,51.036203,59.719589,52.123036,52.115781,0.999293,0.999969,0.999764,0.999764,95.882564,100,99.933831,99.932861
16,30,56.17449041,48.373745,58.460565,49.782864,49.763249,0.998284,0.999933,0.999507,0.999507,95.187938,100,99.888767,99.886903
24,30,39.36837813,45.892166,57.772755,48.337611,48.298416,0.99751,0.999881,0.999253,0.999253,94.738633,100,99.833024,99.829843
32,30,28.87582706,44.062435,57.07723,47.174932,47.110631,0.997157,0.999857,0.998976,0.998976,94.409358,100,99.759348,99.75407
40,30,22.55705363,42.75217,56.509648,46.271701,46.183196,0.99689,0.999769,0.998692,0.998692,93.656253,100,99.680762,99.672802
48,30,18.34399014,41.423455,56.146922,45.531617,45.42118,0.996558,0.999704,0.998395,0.998395,93.259285,100,99.591551,99.579985
56,30,15.52021717,40.393247,55.683581,44.959897,44.83336,0.996029,0.999646,0.998123,0.998123,92.685907,100,99.507366,99.492021
64,30,13.07314302,39.390962,55.301067,44.398162,44.254871,0.99517,0.99957,0.997799,0.997799,91.895134,100,99.366234,99.344438
72,30,11.47243381,38.632764,55.053572,43.98304,43.826137,0.994493,0.999524,0.997516,0.997515,91.522583,100,99.255798,99.228614
80,30,10.09139811,37.936083,54.714247,43.534768,43.363888,0.993579,0.999452,0.997179,0.997179,90.648298,100,99.106414,99.071782
88,30,9.110814068,37.313153,54.500496,43.165759,42.984162,0.992826,0.9994,0.99687,0.99687,90.235386,100,98.970048,98.928317
96,30,8.172331092,36.752637,54.271775,42.75785,42.564483,0.991656,0.999333,0.99649,0.99649,89.821942,100,98.790868,98.739435
104,30,6.868757369,35.967877,53.875776,42.095711,41.884838,0.989463,0.999183,0.995767,0.995766,87.1123,100,98.435719,98.362892
112,30,5.980205559,35.330607,53.499629,41.510886,41.283878,0.987591,0.999073,0.995022,0.995022,86.702798,100,98.030013,97.931637
120,30,5.301896712,34.739153,53.111203,40.988701,40.74751,0.985593,0.998966,0.994245,0.994244,85.539688,100,97.574454,97.445926
128,30,4.537318038,33.982399,52.531609,40.300872,40.042585,0.982395,0.998848,0.993002,0.993,83.438299,100,96.698503,96.509012
136,30,4.021937475,33.360763,52.556948,39.766522,39.491996,0.979848,0.9987,0.991816,0.991814,81.589461,100,95.870493,95.623262
144,30,3.457377943,32.610666,52.287144,39.082128,38.790381,0.975474,0.998482,0.990106,0.990101,77.37527,100,94.545949,94.215636
152,30,3.001972084,31.89336,51.937065,38.450928,38.143403,0.971207,0.998299,0.988181,0.988174,73.717281,100,92.982199,92.561132
160,30,2.605856519,31.097374,51.676985,37.800791,37.479144,0.965655,0.998005,0.985856,0.985846,69.278155,100,91.000242,90.475997
168,30,2.259704778,30.189308,51.142792,37.141829,36.805685,0.958752,0.997608,0.983067,0.983051,63.954918,100,88.601138,87.966688
176,30,1.962821492,29.346181,50.83617,36.480327,36.131626,0.951378,0.997272,0.979691,0.979665,59.190292,100,85.734762,84.994879
184,30,1.698594266,28.523062,50.289033,35.805756,35.447074,0.942923,0.996879,0.975675,0.975635,54.160318,100,82.413284,81.583368
192,30,1.472254733,27.710653,49.859677,35.132893,34.763863,0.932962,0.996252,0.970886,0.970824,48.547038,100,78.449863,77.536503
200,30,1.272683312,26.933971,49.21957,34.461425,34.083224,0.921543,0.995382,0.965168,0.965076,42.716768,100,74.428039,73.419488
208,30,1.098010271,26.139984,48.581345,33.799585,33.409263,0.909717,0.994773,0.958472,0.958333,37.900979,100,70.164679,69.045991
216,30,0.948504319,25.357215,47.992238,33.10654,32.708736,0.89794,0.994303,0.950525,0.950319,33.886181,100,65.752482,64.505572
224,30,0.813970935,24.513907,47.673364,32.338266,31.936643,0.879324,0.994321,0.940436,0.940127,31.249007,100,60.734718,59.314306
232,30,0.683727727,23.648144,46.857029,31.564131,31.15475,0.85575,0.993305,0.927629,0.927165,28.360038,100,55.240071,53.575847
240,30,0.567081761,22.725132,45.118955,30.638608,30.230102,0.826325,0.992398,0.910648,0.909922,23.764968,100,49.01329,47.028701
248,30,0.452426472,21.679101,42.881305,29.611824,29.204622,0.783497,0.990829,0.887158,0.885984,16.392362,100,41.888245,39.363021
8,70,92.13425711,50.92106,59.58193,51.978869,51.971372,0.999196,0.999968,0.999742,0.999742,95.702354,100,99.929692,99.928653
16,70,56.66397808,48.195595,58.431446,49.712168,49.691728,0.998283,0.999932,0.9995,0.9995,95.316399,100,99.885137,99.883198
24,70,40.0180961,45.865774,57.75236,48.303092,48.262927,0.997616,0.999877,0.999258,0.999258,94.813489,100,99.830802,99.82755
32,70,29.6332024,44.104353,57.056983,47.152955,47.088158,0.997192,0.999858,0.998987,0.998987,94.300091,100,99.758683,99.75338
40,70,23.3606172,42.741312,56.50171,46.267272,46.178797,0.996974,0.999762,0.998723,0.998723,93.901905,100,99.684641,99.67687
48,70,19.05180627,41.454123,56.115363,45.524272,45.414636,0.996656,0.999707,0.998429,0.998429,93.212479,100,99.595628,99.584266
56,70,16.18793191,40.486197,55.677934,44.944073,44.818532,0.996073,0.999644,0.998156,0.998155,92.684308,100,99.510698,99.495565
64,70,13.63901868,39.514647,55.249823,44.393344,44.251395,0.995158,0.999571,0.99784,0.99784,91.840478,100,99.371119,99.349486
72,70,11.9567563,38.787193,55.042511,43.978065,43.822641,0.994451,0.99952,0.997552,0.997552,91.404602,100,99.261242,99.234304
80,70,10.50762058,38.071209,54.694256,43.518851,43.349026,0.993547,0.999456,0.99721,0.997209,90.560329,100,99.110275,99.075828
88,70,9.476054102,37.491994,54.504892,43.150048,42.96919,0.992784,0.999401,0.996907,0.996907,90.179467,100,98.97017,98.928363
96,70,8.48998081,36.902073,54.28006,42.737889,42.54517,0.991771,0.999332,0.996522,0.996522,89.573602,100,98.79532,98.743951
104,70,7.149586354,36.069249,53.854443,42.077252,41.866599,0.989534,0.999186,0.995813,0.995812,88.038893,100,98.450396,98.378759
112,70,6.224670049,35.385719,53.421685,41.479587,41.25196,0.987589,0.999079,0.99506,0.995059,86.548433,100,98.046063,97.949076
120,70,5.514588214,34.772859,53.000765,40.957597,40.716161,0.985551,0.998975,0.994289,0.994288,85.273099,100,97.601119,97.474497
128,70,4.718884066,34.015067,52.54284,40.268586,40.009915,0.982199,0.998839,0.993052,0.99305,83.10187,100,96.733137,96.546164
136,70,4.177366929,33.403923,52.459907,39.734508,39.460024,0.979844,0.998713,0.991875,0.991872,80.924807,100,95.919984,95.676861
144,70,3.594205137,32.65867,52.084696,39.04157,38.749751,0.975335,0.998495,0.990162,0.990157,76.913054,100,94.593642,94.268264
152,70,3.116118015,31.942904,51.833133,38.411343,38.103945,0.97083,0.998285,0.988243,0.988237,72.743408,100,93.025758,92.611023
160,70,2.706232099,31.050213,51.566863,37.766101,37.444385,0.965177,0.998015,0.985967,0.985956,68.770348,100,91.068737,90.555664
168,70,2.342073904,30.161052,51.046536,37.10594,36.770159,0.958445,0.997673,0.983216,0.983199,63.025381,100,88.676854,88.056732
176,70,2.037712039,29.320349,50.829977,36.446295,36.098671,0.951128,0.997273,0.979883,0.979857,58.872073,100,85.802806,85.07917
184,70,1.761105938,28.495093,50.294472,35.77895,35.421817,0.942362,0.996923,0.975936,0.975898,53.488314,100,82.49814,81.693179
192,70,1.525044768,27.717665,49.727543,35.110721,34.743697,0.932333,0.996218,0.971181,0.971122,48.020932,100,78.499925,77.619698
200,70,1.316947247,26.917065,49.052454,34.445512,34.070505,0.920444,0.995294,0.965568,0.96548,42.499926,100,74.495604,73.530253
208,70,1.13337213,26.114956,48.425896,33.783922,33.398601,0.908476,0.99434,0.958951,0.95882,38.173163,100,70.201003,69.137361
216,70,0.97752694,25.315366,47.829896,33.093283,32.70165,0.896362,0.994127,0.95107,0.950877,33.960278,100,65.76387,64.576364
224,70,0.838986016,24.494639,47.151308,32.33031,31.937034,0.874989,0.993516,0.940989,0.9407,31.060712,100,60.741519,59.397211
232,70,0.704697132,23.635498,46.587834,31.566934,31.167096,0.851899,0.993021,0.928338,0.927908,28.294251,100,55.255473,53.691785
240,70,0.584931682,22.715953,45.101173,30.652696,30.256112,0.824828,0.991914,0.911517,0.910847,25.008545,100,49.062693,47.189603
248,70,0.466199227,21.67321,42.762394,29.62917,29.236327,0.78991,0.99069,0.888156,0.887078,16.770514,100,41.99427,39.631775
8,100,92.13425711,50.92106,59.58193,51.978869,51.971372,0.999196,0.999968,0.999742,0.999742,95.702354,100,99.929692,99.928653
16,100,56.66397808,48.195595,58.431446,49.712168,49.691728,0.998283,0.999932,0.9995,0.9995,95.316399,100,99.885137,99.883198
24,100,40.0180961,45.865774,57.75236,48.303092,48.262927,0.997616,0.999877,0.999258,0.999258,94.813489,100,99.830802,99.82755
32,100,29.6332024,44.104353,57.056983,47.152955,47.088158,0.997192,0.999858,0.998987,0.998987,94.300091,100,99.758683,99.75338
40,100,23.3606172,42.741312,56.50171,46.267272,46.178797,0.996974,0.999762,0.998723,0.998723,93.901905,100,99.684641,99.67687
48,100,19.05180627,41.454123,56.115363,45.524272,45.414636,0.996656,0.999707,0.998429,0.998429,93.212479,100,99.595628,99.584266
56,100,16.18793191,40.486197,55.677934,44.944073,44.818532,0.996073,0.999644,0.998156,0.998155,92.684308,100,99.510698,99.495565
64,100,13.63901868,39.514647,55.249823,44.393344,44.251395,0.995158,0.999571,0.99784,0.99784,91.840478,100,99.371119,99.349486
72,100,11.9567563,38.787193,55.042511,43.978065,43.822641,0.994451,0.99952,0.997552,0.997552,91.404602,100,99.261242,99.234304
80,100,10.50762058,38.071209,54.694256,43.518851,43.349026,0.993547,0.999456,0.99721,0.997209,90.560329,100,99.110275,99.075828
88,100,9.476054102,37.491994,54.504892,43.150048,42.96919,0.992784,0.999401,0.996907,0.996907,90.179467,100,98.97017,98.928363
96,100,8.48998081,36.902073,54.28006,42.737889,42.54517,0.991771,0.999332,0.996522,0.996522,89.573602,100,98.79532,98.743951
104,100,7.149586354,36.069249,53.854443,42.077252,41.866599,0.989534,0.999186,0.995813,0.995812,88.038893,100,98.450396,98.378759
112,100,6.224670049,35.385719,53.421685,41.479587,41.25196,0.987589,0.999079,0.99506,0.995059,86.548433,100,98.046063,97.949076
120,100,5.514588214,34.772859,53.000765,40.957597,40.716161,0.985551,0.998975,0.994289,0.994288,85.273099,100,97.601119,97.474497
128,100,4.718884066,34.015067,52.54284,40.268586,40.009915,0.982199,0.998839,0.993052,0.99305,83.10187,100,96.733137,96.546164
136,100,4.177366929,33.403923,52.459907,39.734508,39.460024,0.979844,0.998713,0.991875,0.991872,80.924807,100,95.919984,95.676861
144,100,3.594205137,32.65867,52.084696,39.04157,38.749751,0.975335,0.998495,0.990162,0.990157,76.913054,100,94.593642,94.268264
152,100,3.116118015,31.942904,51.833133,38.411343,38.103945,0.97083,0.998285,0.988243,0.988237,72.743408,100,93.025758,92.611023
160,100,2.706232099,31.050213,51.566863,37.766101,37.444385,0.965177,0.998015,0.985967,0.985956,68.770348,100,91.068737,90.555664
168,100,2.342073904,30.161052,51.046536,37.10594,36.770159,0.958445,0.997673,0.983216,0.983199,63.025381,100,88.676854,88.056732
176,100,2.037712039,29.320349,50.829977,36.446295,36.098671,0.951128,0.997273,0.979883,0.979857,58.872073,100,85.802806,85.07917
184,100,1.761105938,28.495093,50.294472,35.77895,35.421817,0.942362,0.996923,0.975936,0.975898,53.488314,100,82.49814,81.693179
192,100,1.525044768,27.717665,49.727543,35.110721,34.743697,0.932333,0.996218,0.971181,0.971122,48.020932,100,78.499925,77.619698
200,100,1.316947247,26.917065,49.052454,34.445512,34.070505,0.920444,0.995294,0.965568,0.96548,42.499926,100,74.495604,73.530253
208,100,1.13337213,26.114956,48.425896,33.783922,33.398601,0.908476,0.99434,0.958951,0.95882,38.173163,100,70.201003,69.137361
216,100,0.97752694,25.315366,47.829896,33.093283,32.70165,0.896362,0.994127,0.95107,0.950877,33.960278,100,65.76387,64.576364
224,100,0.838986016,24.494639,47.151308,32.33031,31.937034,0.874989,0.993516,0.940989,0.9407,31.060712,100,60.741519,59.397211
232,100,0.704697132,23.635498,46.587834,31.566934,31.167096,0.851899,0.993021,0.928338,0.927908,28.294251,100,55.255473,53.691785
240,100,0.584931682,22.715953,45.101173,30.652696,30.256112,0.824828,0.991914,0.911517,0.910847,25.008545,100,49.062693,47.189603
248,100,0.466199227,21.67321,42.762394,29.62917,29.236327,0.78991,0.99069,0.888156,0.887078,16.770514,100,41.99427,39.631775

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2 Responses to Video Codec Round-Up 2023 – Part 14: av1_amf (AV1 AMD Advanced Media Framework)

  1. anon says:

    are the axis swapped? h264_nvenc needing the lowest bitrate for a high VMAF score?

    • lui_gough says:

      No. Graph is correct – libaom-av1 is the leader (grey, unfilled, short dash). h264_nvenc is grey, unfilled, LONG dash and is somewhere middle of the pack.

      – Gough

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