7f32 feb

AMD EPYC 7F32 8-Core testing with a ASRockRack EPYCD8 (P2.40 BIOS) and ASPEED on Debian 11 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2302171-NE-7F32FEB4497
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AV1 2 Tests
C/C++ Compiler Tests 5 Tests
CPU Massive 3 Tests
Creator Workloads 6 Tests
Database Test Suite 4 Tests
Encoding 4 Tests
HPC - High Performance Computing 2 Tests
Common Kernel Benchmarks 2 Tests
Multi-Core 7 Tests
Python Tests 3 Tests
Server 4 Tests
Video Encoding 4 Tests

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February 17 2023
  5 Hours, 21 Minutes
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February 17 2023
  5 Hours, 20 Minutes
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7f32 feb AMD EPYC 7F32 8-Core testing with a ASRockRack EPYCD8 (P2.40 BIOS) and ASPEED on Debian 11 via the Phoronix Test Suite. ,,"a","b" Processor,,AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads),AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads) Motherboard,,ASRockRack EPYCD8 (P2.40 BIOS),ASRockRack EPYCD8 (P2.40 BIOS) Chipset,,AMD Starship/Matisse,AMD Starship/Matisse Memory,,28GB,28GB Disk,,Samsung SSD 970 EVO Plus 250GB,Samsung SSD 970 EVO Plus 250GB Graphics,,ASPEED,ASPEED Network,,2 x Intel I350,2 x Intel I350 OS,,Debian 11,Debian 11 Kernel,,5.10.0-10-amd64 (x86_64),5.10.0-10-amd64 (x86_64) Desktop,,GNOME Shell 3.38.6,GNOME Shell 3.38.6 Display Server,,X Server,X Server Compiler,,GCC 10.2.1 20210110,GCC 10.2.1 20210110 File-System,,ext4,ext4 Screen Resolution,,1024x768,1024x768 ,,"a","b" "OpenEMS - Test: pyEMS Coupler (MCells/s)",HIB,20.99,20.97 "Apache Spark - Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Time (sec)",LIB,2.39,2.72 "Apache Spark - Row Count: 1000000 - Partitions: 2000 - Inner Join Test Time (sec)",LIB,3.18,3.01 "Apache Spark - Row Count: 1000000 - Partitions: 2000 - Repartition Test Time (sec)",LIB,2.753324538,2.69 "Apache Spark - Row Count: 1000000 - Partitions: 2000 - Group By Test Time (sec)",LIB,5.79,5.77 "Apache Spark - Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,11.51,11.399265237 "Apache Spark - Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark (sec)",LIB,186.57794947,186.163020544 "Apache Spark - Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Time (sec)",LIB,4.74,4.78 "Apache Spark - Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time (sec)",LIB,2.07,1.91 "Apache Spark - Row Count: 1000000 - Partitions: 500 - Inner Join Test Time (sec)",LIB,2.30,2.49 "Apache Spark - Row Count: 1000000 - Partitions: 500 - Repartition Test Time (sec)",LIB,1.96,2.23 "Apache Spark - Row Count: 1000000 - Partitions: 500 - Group By Test Time (sec)",LIB,5.05,5.02 "Apache Spark - Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,11.386792489,11.691897916 "Apache Spark - Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark (sec)",LIB,189.277707808,188.998279266 "Apache Spark - Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time (sec)",LIB,4.15,4.13 "Apache Spark - Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test Time (sec)",LIB,2.17651277,2.38 "Apache Spark - Row Count: 1000000 - Partitions: 1000 - Inner Join Test Time (sec)",LIB,2.77,2.43 "Apache Spark - Row Count: 1000000 - Partitions: 1000 - Repartition Test Time (sec)",LIB,2.25,2.22 "Apache Spark - Row Count: 1000000 - Partitions: 1000 - Group By Test Time (sec)",LIB,5.59,5.31 "Apache Spark - Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,11.43,11.543094442 "Apache Spark - Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark (sec)",LIB,186.606238989,185.925845518 "Apache Spark - Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Time (sec)",LIB,4.32,4.29 "Apache Spark - Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time (sec)",LIB,1.93,1.80 "Apache Spark - Row Count: 1000000 - Partitions: 100 - Inner Join Test Time (sec)",LIB,2.13,2.05 "Apache Spark - Row Count: 1000000 - Partitions: 100 - Repartition Test Time (sec)",LIB,2.00,2.02 "Apache Spark - Row Count: 1000000 - Partitions: 100 - Group By Test Time (sec)",LIB,4.64,4.59 "Apache Spark - Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,11.486413801,11.52 "Apache Spark - Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark (sec)",LIB,188.33713603,187.447750082 "Apache Spark - Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time (sec)",LIB,4.03,4.04 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,2.72,2.71 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency (ms)",LIB,2.435,1.966 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only (TPS)",HIB,410670,508680 "PostgreSQL - Scaling Factor: 1 - Clients: 1000 - Mode: Read Write - Average Latency (ms)",LIB,3707.466,3876.571 "PostgreSQL - Scaling Factor: 1 - Clients: 1000 - Mode: Read Write (TPS)",HIB,270,258 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,1.244,1.283 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency (ms)",LIB,128.345,145.158 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write (TPS)",HIB,7792,6889 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency (ms)",LIB,97.971,111.522 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Write (TPS)",HIB,8166,7173 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency (ms)",LIB,1.791,1.644 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Only (TPS)",HIB,446689,486710 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency (ms)",LIB,59.345,73.114 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Write (TPS)",HIB,8425,6839 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency (ms)",LIB,1.016,1.063 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Only (TPS)",HIB,491975,470230 "PostgreSQL - Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average Latency (ms)",LIB,0.018,0.018 "PostgreSQL - Scaling Factor: 100 - Clients: 1 - Mode: Read Only (TPS)",HIB,54842,55389 "PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency (ms)",LIB,0.454,0.46 "PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Only (TPS)",HIB,550537,543855 "PostgreSQL - Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency (ms)",LIB,0.092,0.094 "PostgreSQL - Scaling Factor: 100 - Clients: 50 - Mode: Read Only (TPS)",HIB,545224,531797 "PostgreSQL - Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency (ms)",LIB,14.507,16.515 "PostgreSQL - Scaling Factor: 100 - Clients: 100 - Mode: Read Write (TPS)",HIB,6893,6055 "PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency (ms)",LIB,30.765,35.367 "PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Write (TPS)",HIB,8126,7069 "PostgreSQL - Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average Latency (ms)",LIB,2.355,2.36 "PostgreSQL - Scaling Factor: 100 - Clients: 1 - Mode: Read Write (TPS)",HIB,425,424 "PostgreSQL - Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency (ms)",LIB,10.298,11.073 "PostgreSQL - Scaling Factor: 100 - Clients: 50 - Mode: Read Write (TPS)",HIB,4856,4516 "PostgreSQL - Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency (ms)",LIB,0.178,0.177 "PostgreSQL - Scaling Factor: 100 - Clients: 100 - Mode: Read Only (TPS)",HIB,561050,563522 "PostgreSQL - Scaling Factor: 1 - Clients: 800 - Mode: Read Write - Average Latency (ms)",LIB,2457.447,2428.662 "PostgreSQL - Scaling Factor: 1 - Clients: 800 - Mode: Read Write (TPS)",HIB,326,329 "AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,5.64,5.65 "PostgreSQL - Scaling Factor: 1 - Clients: 500 - Mode: Read Write - Average Latency (ms)",LIB,982.95,1025.324 "PostgreSQL - Scaling Factor: 1 - Clients: 500 - Mode: Read Write (TPS)",HIB,509,488 "PostgreSQL - Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency (ms)",LIB,417.722,407.38 "PostgreSQL - Scaling Factor: 1 - Clients: 250 - Mode: Read Write (TPS)",HIB,598,614 "PostgreSQL - Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency (ms)",LIB,152.082,152.856 "PostgreSQL - Scaling Factor: 1 - Clients: 100 - Mode: Read Write (TPS)",HIB,658,654 "PostgreSQL - Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency (ms)",LIB,73.717,74.049 "PostgreSQL - Scaling Factor: 1 - Clients: 50 - Mode: Read Write (TPS)",HIB,678,675 "PostgreSQL - Scaling Factor: 1 - Clients: 1000 - Mode: Read Only - Average Latency (ms)",LIB,2.142,2.219 "PostgreSQL - Scaling Factor: 1 - Clients: 1000 - Mode: Read Only (TPS)",HIB,466800,450620 "PostgreSQL - Scaling Factor: 1 - Clients: 800 - Mode: Read Only - Average Latency (ms)",LIB,1.602,1.668 "PostgreSQL - Scaling Factor: 1 - Clients: 800 - Mode: Read Only (TPS)",HIB,499392,479473 "PostgreSQL - Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average Latency (ms)",LIB,0.958,0.874 "PostgreSQL - Scaling Factor: 1 - Clients: 500 - Mode: Read Only (TPS)",HIB,522138,571774 "PostgreSQL - Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency (ms)",LIB,1.413,1.423 "PostgreSQL - Scaling Factor: 1 - Clients: 1 - Mode: Read Write (TPS)",HIB,708,703 "PostgreSQL - Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency (ms)",LIB,0.159,0.155 "PostgreSQL - Scaling Factor: 1 - Clients: 100 - Mode: Read Only (TPS)",HIB,627441,645705 "PostgreSQL - Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency (ms)",LIB,0.412,0.405 "PostgreSQL - Scaling Factor: 1 - Clients: 250 - Mode: Read Only (TPS)",HIB,606075,617509 "PostgreSQL - Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency (ms)",LIB,0.081,0.081 "PostgreSQL - Scaling Factor: 1 - Clients: 50 - Mode: Read Only (TPS)",HIB,620983,618290 "PostgreSQL - Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency (ms)",LIB,0.016,0.016 "PostgreSQL - Scaling Factor: 1 - Clients: 1 - Mode: Read Only (TPS)",HIB,61593,64239 "VP9 libvpx Encoding - Speed: Speed 0 - Input: Bosphorus 4K (FPS)",HIB,5.42,5.44 "AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,0.19,0.19 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,6.274,6.085 "OpenEMS - Test: openEMS MSL_NotchFilter (MCells/s)",HIB,43.28,44.47 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Fast (FPS)",HIB,7.229,7.257 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,9.3827,9.3503 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,9.56,9.53 "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,9.7218,9.76 "ClickHouse - (Queries/min, Geo Mean)",HIB,, "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,9.3491,9.3296 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,9.5705,9.8828 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,618.826,619.4588 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,6.3968,6.3828 "VP9 libvpx Encoding - Speed: Speed 5 - Input: Bosphorus 4K (FPS)",HIB,9.8,9.61 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,67.2973,67.0404 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,59.3773,59.5734 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,177.9141,176.5938 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,22.4232,22.5889 "RocksDB - Test: Random Fill Sync (Op/s)",HIB,2852,2857 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,10.5382,10.8146 "RocksDB - Test: Random Fill (Op/s)",HIB,530099,528550 "RocksDB - Test: Update Random (Op/s)",HIB,346409,347469 "RocksDB - Test: Read Random Write Random (Op/s)",HIB,1146165,1152478 "RocksDB - Test: Read While Writing (Op/s)",HIB,1490922,1401161 "RocksDB - Test: Random Read (Op/s)",HIB,35559141,36110424 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,10.8786,10.7861 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,618.215,618.8398 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,6.4027,6.3771 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,156.3355,157.8873 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,25.5502,25.2728 "AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,12.3,12.35 "VP9 libvpx Encoding - Speed: Speed 0 - Input: Bosphorus 1080p (FPS)",HIB,11.26,11.01 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,492.1324,487.1978 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,8.0865,8.1627 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,82.7342,77.4236 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (items/sec)",HIB,12.0852,12.9139 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream (ms/batch)",LIB,29.8094,28.0476 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream (items/sec)",HIB,33.533,35.6398 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,184.4582,187.927 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,5.421,5.3209 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,186.1177,187.355 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,5.3727,5.3372 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,53.9623,54.1228 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (items/sec)",HIB,18.5281,18.4728 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (ms/batch)",LIB,146.7613,146.5857 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (items/sec)",HIB,6.8129,6.821 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,79.2948,79.6162 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,50.3749,50.1637 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,109.4521,110.3102 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,36.4926,36.2166 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,55.2697,55.8468 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,72.2822,71.5431 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,27.3353,27.716 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,36.5696,36.0677 "AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,0.54,0.54 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,38.221,37.9114 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,26.1528,26.3667 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,19.1051,19.6955 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,52.314,50.7451 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Faster (FPS)",HIB,17.597,17.604 "RocksDB - Test: Sequential Fill (Op/s)",HIB,589310,595266 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,28.8,28.22 "VP9 libvpx Encoding - Speed: Speed 5 - Input: Bosphorus 1080p (FPS)",HIB,23.93,23.25 "dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,366.43,369.21 "dav1d - Video Input: Chimera 1080p (FPS)",HIB,390.36,390.37 "dav1d - Video Input: Summer Nature 4K (FPS)",HIB,170.85,178.99 "AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K (FPS)",HIB,37.74,38.13 "AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K (FPS)",HIB,44.6,46.21 "AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K (FPS)",HIB,45.97,46.6 "AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K (FPS)",HIB,45.36,48.38 "AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p (FPS)",HIB,101.4,95.22 "AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p (FPS)",HIB,107.42,100.54 "dav1d - Video Input: Summer Nature 1080p (FPS)",HIB,612.98,616.71 "AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p (FPS)",HIB,114.06,115.24 "AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p (FPS)",HIB,125.49,126.5