Tests for a future article. AMD Ryzen Threadripper 3960X 24-Core testing with a MSI Creator TRX40 (MS-7C59) v1.0 (1.12N1 BIOS) and Gigabyte AMD Radeon RX 5500 XT 8GB on Ubuntu 22.04 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 2212279-NE-THREADRIP52
threadripper eo 2022
Tests for a future article. AMD Ryzen Threadripper 3960X 24-Core testing with a MSI Creator TRX40 (MS-7C59) v1.0 (1.12N1 BIOS) and Gigabyte AMD Radeon RX 5500 XT 8GB on Ubuntu 22.04 via the Phoronix Test Suite.
,,"a","b"
Processor,,AMD Ryzen Threadripper 3960X 24-Core @ 3.80GHz (24 Cores / 48 Threads),AMD Ryzen Threadripper 3960X 24-Core @ 3.80GHz (24 Cores / 48 Threads)
Motherboard,,MSI Creator TRX40 (MS-7C59) v1.0 (1.12N1 BIOS),MSI Creator TRX40 (MS-7C59) v1.0 (1.12N1 BIOS)
Chipset,,AMD Starship/Matisse,AMD Starship/Matisse
Memory,,32GB,32GB
Disk,,1000GB Sabrent Rocket 4.0 1TB,1000GB Sabrent Rocket 4.0 1TB
Graphics,,Gigabyte AMD Radeon RX 5500 XT 8GB (1900/875MHz),Gigabyte AMD Radeon RX 5500 XT 8GB (1900/875MHz)
Audio,,AMD Navi 10 HDMI Audio,AMD Navi 10 HDMI Audio
Monitor,,VA2431,VA2431
Network,,Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200,Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200
OS,,Ubuntu 22.04,Ubuntu 22.04
Kernel,,5.19.0-051900rc7-generic (x86_64),5.19.0-051900rc7-generic (x86_64)
Desktop,,GNOME Shell 42.2,GNOME Shell 42.2
Display Server,,X Server,X Server
OpenGL,,4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47),4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47)
Vulkan,,1.3.204,1.3.204
Compiler,,GCC 11.2.0,GCC 11.2.0
File-System,,ext4,ext4
Screen Resolution,,1920x1080,1920x1080
,,"a","b"
"Stress-NG - Test: x86_64 RdRand ()",,,
"Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,383.32,382.19
"Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,604.44,591.09
"Stress-NG - Test: Futex (Bogo Ops/s)",HIB,3430545.94,3166174.89
"Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,891.86,887.76
"Stress-NG - Test: Mutex (Bogo Ops/s)",HIB,12785778.73,12810594.01
"Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,421253.99,421495.46
"Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,44751.55,44653.67
"Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,50825608.57,50473178.15
"Stress-NG - Test: Forking (Bogo Ops/s)",HIB,53674.14,52953.36
"Stress-NG - Test: IO_uring (Bogo Ops/s)",HIB,22416.27,17193.98
"Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,414239.19,411184.4
"Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,174.95,186.95
"Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,63007.36,65071.9
"Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,4869829.14,4868774.73
"Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,140597.25,138081.21
"Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,178859.7,178430.01
"Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,4863.37,4839.31
"Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,15355.92,15707.68
"Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,9618965.78,9774697.61
"Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,4187483.04,4118591.13
"Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,385.8,385.67
"Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,9343696.19,9276368.69
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (eNb Mb/s)",HIB,376.6,375.1
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (eNb Mb/s)",HIB,376.6,375.9
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (eNb Mb/s)",HIB,402.5,403.8
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (eNb Mb/s)",HIB,413.1,401.2
"srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (eNb Mb/s)",HIB,106.8,107.1
"nekRS - Input: TurboPipe Periodic (FLOP/s)",HIB,67648400000,67381400000
"FFmpeg - Encoder: libx264 - Scenario: Live (FPS)",HIB,198.58,200.46
"FFmpeg - Encoder: libx265 - Scenario: Live (FPS)",HIB,69.22,69.15
"FFmpeg - Encoder: libx264 - Scenario: Upload (FPS)",HIB,12.37,12.30
"FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,13.73,13.89
"FFmpeg - Encoder: libx264 - Scenario: Platform (FPS)",HIB,47.13,46.96
"FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,28.62,28.68
"FFmpeg - Encoder: libx264 - Scenario: Video On Demand (FPS)",HIB,47.17,47.04
"FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,28.63,28.74
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,6.82,7.02
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,4.3,4.34
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,4.33,4.31
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,380.28,376.7
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,8.46,8.48
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,715.98,712.18
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,661.93,653.16
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,63.47,62.04
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,843.69,844.82
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,686.15,692.14
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,21060.95,20837.59
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,22553.27,22417.03
"Natron - Input: Spaceship (FPS)",HIB,4.2,4.2
"Unvanquished - Resolution: 1920 x 1080 - Effects Quality: High (FPS)",HIB,257,263.3
"Unvanquished - Resolution: 1920 x 1080 - Effects Quality: Ultra (FPS)",HIB,248.6,286.5
"Unvanquished - Resolution: 1920 x 1080 - Effects Quality: Medium (FPS)",HIB,260,262.8
"AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,0.34,0.34
"AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,7.91,7.88
"AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K (FPS)",HIB,25.31,24.61
"AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,13.54,13.57
"AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K (FPS)",HIB,31.97,32.16
"AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K (FPS)",HIB,40.37,40.93
"AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K (FPS)",HIB,40.29,40.76
"AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,0.96,0.97
"AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,14.13,14.23
"AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p (FPS)",HIB,43.08,43.34
"AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,34.6,34.15
"AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p (FPS)",HIB,60.72,62.08
"AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p (FPS)",HIB,72.59,73.28
"AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p (FPS)",HIB,72.52,73.76
"rav1e - Speed: 1 (FPS)",HIB,0.78,0.778
"rav1e - Speed: 5 (FPS)",HIB,2.741,2.748
"rav1e - Speed: 6 (FPS)",HIB,3.656,3.641
"rav1e - Speed: 10 (FPS)",HIB,8.018,7.997
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,3.5,3.521
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,56.689,56.487
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,147.341,129.515
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,145.752,148.194
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,8.046,7.877
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,111.927,113.858
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,400.811,403.432
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,359.56,359.18
"Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,15342.8,15334.8
"Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,21153.3,21018.6
"TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,62.47,63.15
"TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,44.45,44.39
"OpenVKL - Benchmark: vklBenchmark ISPC (Items / Sec)",HIB,288,287
"OpenVKL - Benchmark: vklBenchmark Scalar (Items / Sec)",HIB,184,183
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,19.6428,19.5842
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,13.3862,13.3177
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,69.4812,67.6453
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (items/sec)",HIB,26.7006,27.4093
"Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,107.4771,106.8673
"Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,59.8698,59.5355
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,222.1611,221.8827
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,112.6594,113.5482
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,154.8854,154.7593
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,83.6707,83.5943
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,78.7202,78.4402
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (items/sec)",HIB,43.1635,41.0795
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,19.5601,19.5237
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,13.3472,13.326
"GraphicsMagick - Operation: Swirl (Iterations/min)",HIB,1178,1193
"GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,638,649
"GraphicsMagick - Operation: Sharpen (Iterations/min)",HIB,376,376
"GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,568,570
"GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,2129,2132
"GraphicsMagick - Operation: Noise-Gaussian (Iterations/min)",HIB,514,535
"GraphicsMagick - Operation: HWB Color Space (Iterations/min)",HIB,1043,1089
"Stream - Type: Copy (MB/s)",HIB,54649.6,55314
"Stream - Type: Scale (MB/s)",HIB,33038,33173.5
"Stream - Type: Triad (MB/s)",HIB,36787.1,37021.8
"Stream - Type: Add (MB/s)",HIB,36849.4,37116
"SMHasher - Hash: wyhash (MiB/sec)",HIB,23068.13,22791.83
"SMHasher - Hash: SHA3-256 (MiB/sec)",HIB,146.7,146.47
"SMHasher - Hash: Spooky32 (MiB/sec)",HIB,14254.7,14206.73
"SMHasher - Hash: fasthash32 (MiB/sec)",HIB,6591.27,6553.7
"SMHasher - Hash: FarmHash128 (MiB/sec)",HIB,15823.93,15708.02
"SMHasher - Hash: t1ha2_atonce (MiB/sec)",HIB,15569.87,15465.65
"SMHasher - Hash: FarmHash32 x86_64 AVX (MiB/sec)",HIB,27249.95,26861.97
"SMHasher - Hash: t1ha0_aes_avx2 x86_64 (MiB/sec)",HIB,66642.16,65731.67
"SMHasher - Hash: MeowHash x86_64 AES-NI (MiB/sec)",HIB,37533.1,37302
"7-Zip Compression - Test: Compression Rating (MIPS)",HIB,167681,168680
"7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,177640,170171
"JPEG XL libjxl - Input: PNG - Quality: 80 (MP/s)",HIB,8.95,9.02
"JPEG XL libjxl - Input: PNG - Quality: 90 (MP/s)",HIB,8.89,8.99
"JPEG XL libjxl - Input: JPEG - Quality: 80 (MP/s)",HIB,8.59,8.7
"JPEG XL libjxl - Input: JPEG - Quality: 90 (MP/s)",HIB,8.51,8.58
"JPEG XL libjxl - Input: PNG - Quality: 100 (MP/s)",HIB,0.68,0.68
"JPEG XL libjxl - Input: JPEG - Quality: 100 (MP/s)",HIB,0.66,0.66
"JPEG XL Decoding libjxl - CPU Threads: 1 (MP/s)",HIB,44.6,45.67
"JPEG XL Decoding libjxl - CPU Threads: All (MP/s)",HIB,245.68,251.91
"WebP Image Encode - Encode Settings: Default (MP/s)",HIB,17.87,17.78
"WebP Image Encode - Encode Settings: Quality 100 (MP/s)",HIB,11.10,11.04
"WebP Image Encode - Encode Settings: Quality 100, Lossless (MP/s)",HIB,1.50,1.52
"WebP Image Encode - Encode Settings: Quality 100, Highest Compression (MP/s)",HIB,3.44,3.41
"WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (MP/s)",HIB,0.61,0.61
"WebP2 Image Encode - Encode Settings: Default (MP/s)",HIB,9.6,10.27
"WebP2 Image Encode - Encode Settings: Quality 75, Compression Effort 7 (MP/s)",HIB,0.30,0.30
"WebP2 Image Encode - Encode Settings: Quality 95, Compression Effort 7 (MP/s)",HIB,0.15,0.15
"WebP2 Image Encode - Encode Settings: Quality 100, Compression Effort 5 (MP/s)",HIB,8.39,8.43
"ASTC Encoder - Preset: Fast (MT/s)",HIB,366.3281,364.3208
"ASTC Encoder - Preset: Medium (MT/s)",HIB,120.3254,120.0841
"ASTC Encoder - Preset: Thorough (MT/s)",HIB,14.4059,14.3759
"ASTC Encoder - Preset: Exhaustive (MT/s)",HIB,1.5739,1.5693
"Facebook RocksDB - Test: Random Fill (Op/s)",HIB,811216,800273
"Facebook RocksDB - Test: Random Read (Op/s)",HIB,98049490,100100766
"Facebook RocksDB - Test: Update Random (Op/s)",HIB,684330,651892
"Facebook RocksDB - Test: Sequential Fill (Op/s)",HIB,922415,876834
"Facebook RocksDB - Test: Random Fill Sync (Op/s)",HIB,25136,25297
"Facebook RocksDB - Test: Read While Writing (Op/s)",HIB,4506140,4452658
"Facebook RocksDB - Test: Read Random Write Random (Op/s)",HIB,2683538,2589021
"CockroachDB - Workload: MoVR - Concurrency: 128 (ops/s)",HIB,477.5,483.1
"CockroachDB - Workload: MoVR - Concurrency: 256 (ops/s)",HIB,476.5,480.7
"CockroachDB - Workload: MoVR - Concurrency: 512 (ops/s)",HIB,476.6,481.1
"CockroachDB - Workload: MoVR - Concurrency: 1024 (ops/s)",HIB,474.9,480.5
"CockroachDB - Workload: KV, 10% Reads - Concurrency: 128 (ops/s)",HIB,50479.2,50108.8
"CockroachDB - Workload: KV, 10% Reads - Concurrency: 256 (ops/s)",HIB,61211.1,61278.6
"CockroachDB - Workload: KV, 10% Reads - Concurrency: 512 (ops/s)",HIB,61112,60710
"CockroachDB - Workload: KV, 50% Reads - Concurrency: 128 (ops/s)",HIB,70558.3,69948.7
"CockroachDB - Workload: KV, 50% Reads - Concurrency: 256 (ops/s)",HIB,77546.7,76768.6
"CockroachDB - Workload: KV, 50% Reads - Concurrency: 512 (ops/s)",HIB,75643.3,75289.1
"CockroachDB - Workload: KV, 60% Reads - Concurrency: 128 (ops/s)",HIB,77055.3,77363.2
"CockroachDB - Workload: KV, 60% Reads - Concurrency: 256 (ops/s)",HIB,82286.1,82467
"CockroachDB - Workload: KV, 60% Reads - Concurrency: 512 (ops/s)",HIB,80024,79220.4
"CockroachDB - Workload: KV, 95% Reads - Concurrency: 128 (ops/s)",HIB,103073.5,103111.7
"CockroachDB - Workload: KV, 95% Reads - Concurrency: 256 (ops/s)",HIB,100761.5,100166.8
"CockroachDB - Workload: KV, 95% Reads - Concurrency: 512 (ops/s)",HIB,98031.9,97822.4
"CockroachDB - Workload: KV, 10% Reads - Concurrency: 1024 (ops/s)",HIB,59301.4,59175.4
"CockroachDB - Workload: KV, 50% Reads - Concurrency: 1024 (ops/s)",HIB,71952.1,72222
"CockroachDB - Workload: KV, 60% Reads - Concurrency: 1024 (ops/s)",HIB,76564,76335.4
"CockroachDB - Workload: KV, 95% Reads - Concurrency: 1024 (ops/s)",HIB,94157.8,93822.1
"Dragonflydb - Clients: 50 - Set To Get Ratio: 1:1 (Ops/sec)",HIB,3341824.71,3320752.26
"Dragonflydb - Clients: 50 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,3519377.56,3515736.22
"Dragonflydb - Clients: 50 - Set To Get Ratio: 5:1 (Ops/sec)",HIB,3193072.56,3164997.08
"Dragonflydb - Clients: 200 - Set To Get Ratio: 1:1 (Ops/sec)",HIB,3388128.93,3388656.73
"Dragonflydb - Clients: 200 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,3609156.11,3593257.69
"Dragonflydb - Clients: 200 - Set To Get Ratio: 5:1 (Ops/sec)",HIB,3273370.07,3263145.89
"ClickHouse - 100M Rows Web Analytics Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,196.74,201.86
"ClickHouse - 100M Rows Web Analytics Dataset, Second Run (Queries/min, Geo Mean)",HIB,236.78,234.64
"ClickHouse - 100M Rows Web Analytics Dataset, Third Run (Queries/min, Geo Mean)",HIB,240.17,235.82
"Stargate Digital Audio Workstation - Sample Rate: 44100 - Buffer Size: 512 (Render Ratio)",HIB,3.892921,2.678564
"Stargate Digital Audio Workstation - Sample Rate: 96000 - Buffer Size: 512 (Render Ratio)",HIB,1.911816,1.947376
"Stargate Digital Audio Workstation - Sample Rate: 192000 - Buffer Size: 512 (Render Ratio)",HIB,1.244804,1.314658
"Stargate Digital Audio Workstation - Sample Rate: 44100 - Buffer Size: 1024 (Render Ratio)",HIB,5.223813,5.307245
"Stargate Digital Audio Workstation - Sample Rate: 480000 - Buffer Size: 512 (Render Ratio)",HIB,4.122029,2.722708
"Stargate Digital Audio Workstation - Sample Rate: 96000 - Buffer Size: 1024 (Render Ratio)",HIB,3.681535,3.845343
"Stargate Digital Audio Workstation - Sample Rate: 192000 - Buffer Size: 1024 (Render Ratio)",HIB,2.436915,2.268748
"Stargate Digital Audio Workstation - Sample Rate: 480000 - Buffer Size: 1024 (Render Ratio)",HIB,4.917282,5.196953
"Redis - Test: GET - Parallel Connections: 50 (Reqs/sec)",HIB,2481064.75,2015000.12
"Redis - Test: SET - Parallel Connections: 50 (Reqs/sec)",HIB,1746939.25,1590308.75
"Redis - Test: GET - Parallel Connections: 500 (Reqs/sec)",HIB,2271735.25,2214977.25
"Redis - Test: SET - Parallel Connections: 500 (Reqs/sec)",HIB,1784408,1797429.5
"nginx - Connections: 1 (Reqs/sec)",HIB,,
"nginx - Connections: 20 (Reqs/sec)",HIB,,
"nginx - Connections: 100 (Reqs/sec)",HIB,148017.08,145523.99
"nginx - Connections: 200 (Reqs/sec)",HIB,148446.23,148101.85
"nginx - Connections: 500 (Reqs/sec)",HIB,133262.41,137072.73
"nginx - Connections: 1000 (Reqs/sec)",HIB,125263.22,126633
"nginx - Connections: 4000 (Reqs/sec)",HIB,,
"srsRAN - Test: OFDM_Test (Samples / Second)",HIB,140100000,144000000
"spaCy - Model: en_core_web_lg (tokens/sec)",HIB,12454,12319
"spaCy - Model: en_core_web_trf (tokens/sec)",HIB,1465,1463
"PostgreSQL - Scaling Factor: 100 - Clients: 50 - Mode: Read Only (TPS)",HIB,671452,663640
"PostgreSQL - Scaling Factor: 100 - Clients: 100 - Mode: Read Only (TPS)",HIB,653213,602288
"PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Only (TPS)",HIB,646832,618774
"PostgreSQL - Scaling Factor: 100 - Clients: 50 - Mode: Read Write (TPS)",HIB,29212,29318
"PostgreSQL - Scaling Factor: 100 - Clients: 100 - Mode: Read Write (TPS)",HIB,40535,33658
"PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Write (TPS)",HIB,45407,25548
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (UE Mb/s)",HIB,150.6,150.1
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (UE Mb/s)",HIB,162.9,162.2
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (UE Mb/s)",HIB,160.2,160.7
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (UE Mb/s)",HIB,175.5,170
"srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (UE Mb/s)",HIB,60.2,60.2
"BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,405453,403757
"SMHasher - Hash: wyhash (cycles/hash)",LIB,26.329,26.387
"SMHasher - Hash: SHA3-256 (cycles/hash)",LIB,2649.376,2649.302
"SMHasher - Hash: Spooky32 (cycles/hash)",LIB,51.661,51.627
"SMHasher - Hash: fasthash32 (cycles/hash)",LIB,37.175,37.264
"SMHasher - Hash: FarmHash128 (cycles/hash)",LIB,63.803,63.864
"SMHasher - Hash: t1ha2_atonce (cycles/hash)",LIB,34.763,35.019
"SMHasher - Hash: FarmHash32 x86_64 AVX (cycles/hash)",LIB,43.284,43.29
"SMHasher - Hash: t1ha0_aes_avx2 x86_64 (cycles/hash)",LIB,34.721,35.155
"SMHasher - Hash: MeowHash x86_64 AES-NI (cycles/hash)",LIB,57.723,57.928
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,1.50644,1.54322
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,5.89944,5.91961
"oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.43493,1.47047
"oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.652318,0.7778
"oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,9.02473,9.42618
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,6.06539,6.16553
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,2.63187,2.69706
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,9.16751,9.15733
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.68952,1.74252
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.06629,2.09863
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,2614.46,2759.2
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,1295.49,1451.46
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2559.09,2719.77
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1366.14,1446.12
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,4.48456,4.27034
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2604.63,2772.01
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1361.72,1441.78
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,6.54191,4.7447
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"PostgreSQL - Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency (ms)",LIB,0.074,0.075
"PostgreSQL - Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency (ms)",LIB,0.153,0.166
"PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency (ms)",LIB,0.386,0.404
"PostgreSQL - Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency (ms)",LIB,1.712,1.705
"PostgreSQL - Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency (ms)",LIB,2.467,2.971
"PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency (ms)",LIB,5.506,9.786
"Mobile Neural Network - Model: nasnet (ms)",LIB,14.311,14.962
"Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,2.282,2.455
"Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,4.311,4.191
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,21.564,22.828
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,6.491,6.547
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,4.361,4.607
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,3.054,3.021
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,23.254,25.51
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,15.69,16.39
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,6.92,7.13
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,6.44,6.62
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,7.89,8.14
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,6.29,6.54
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,9.26,9.56
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,3.67,3.75
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,18.44,19.69
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,33.71,34.14
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,12.14,12.78
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,8.95,9.45
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,21.43,23.05
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,25.55,26.29
"NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,21.24,22.44
"NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,26.61,26.65
"NCNN - Target: CPU - Model: vision_transformer (ms)",LIB,133.48,137.59
"NCNN - Target: CPU - Model: FastestDet (ms)",LIB,8.91,8.9
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,1735.28,1690.53
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,2734.68,2714.24
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,2750.06,2734.21
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,31.53,31.82
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,1410.67,1408.6
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,16.75,16.84
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,18.11,18.36
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,188.92,193.23
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,28.43,28.4
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,17.47,17.32
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.13,1.14
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,1.06,1.06
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,608.4782,610.7512
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,74.6969,75.0804
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,172.6456,177.2167
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,37.4433,36.475
"Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,111.3907,112.0146
"Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,16.6914,16.7848
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,53.9562,54.0192
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,8.8688,8.7988
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,77.4472,77.5099
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,11.9444,11.9559
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,152.2314,152.9447
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,23.1605,24.336
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,611.8922,610.9332
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,74.9151,75.0343
"Unpacking The Linux Kernel - linux-5.19.tar.xz (sec)",LIB,7.006,7.096
"OpenFOAM - Input: motorBike - Mesh Time (sec)",LIB,40.3729,40.5873
"OpenFOAM - Input: motorBike - Execution Time (sec)",LIB,71.6006,71.6125
"OpenFOAM - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec)",LIB,26.871733,27.275142
"OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,121.45626,123.71063
"OpenRadioss - Model: Bumper Beam (sec)",LIB,98.86,100.6
"OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,54.86,55.19
"OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,173.48,174.41
"OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,78.18,79.08
"OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,287.95,290.2
"libavif avifenc - Encoder Speed: 0 (sec)",LIB,91.039,90.561
"libavif avifenc - Encoder Speed: 2 (sec)",LIB,47.559,47.639
"libavif avifenc - Encoder Speed: 6 (sec)",LIB,4.012,4.008
"libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,7.607,7.571
"libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,5.153,5.078
"Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,43.944,44.003
"Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,476.667,478.887
"Timed Node.js Compilation - Time To Compile (sec)",LIB,232.345,233.722
"Timed PHP Compilation - Time To Compile (sec)",LIB,43.61,43.699
"Timed CPython Compilation - Build Configuration: Default (sec)",LIB,15.429,15.41
"Timed CPython Compilation - Build Configuration: Released Build, PGO + LTO Optimized (sec)",LIB,257.57,257.945
"Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,22.825,22.916
"Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,11.143,11.222
"Timed Erlang/OTP Compilation - Time To Compile (sec)",LIB,90.928,90.249
"Timed Wasmer Compilation - Time To Compile (sec)",LIB,46.857,46.955
"FLAC Audio Encoding - WAV To FLAC (sec)",LIB,17.802,17.963
"FFmpeg - Encoder: libx264 - Scenario: Live (sec)",LIB,25.43,25.19
"FFmpeg - Encoder: libx265 - Scenario: Live (sec)",LIB,72.95,73.03
"FFmpeg - Encoder: libx264 - Scenario: Upload (sec)",LIB,204.11375323,205.24
"FFmpeg - Encoder: libx265 - Scenario: Upload (sec)",LIB,183.908496366,181.78
"FFmpeg - Encoder: libx264 - Scenario: Platform (sec)",LIB,160.71,161.32
"FFmpeg - Encoder: libx265 - Scenario: Platform (sec)",LIB,264.66,264.16
"FFmpeg - Encoder: libx264 - Scenario: Video On Demand (sec)",LIB,160.60,161.04
"FFmpeg - Encoder: libx265 - Scenario: Video On Demand (sec)",LIB,264.63,263.53
"Apache Spark - Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time (sec)",LIB,3.40,3.59872799
"Apache Spark - Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark (sec)",LIB,68.960273121,69.93
"Apache Spark - Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,4.20,4.21
"Apache Spark - Row Count: 1000000 - Partitions: 100 - Group By Test Time (sec)",LIB,4.67,4.78
"Apache Spark - Row Count: 1000000 - Partitions: 100 - Repartition Test Time (sec)",LIB,1.76,1.84
"Apache Spark - Row Count: 1000000 - Partitions: 100 - Inner Join Test Time (sec)",LIB,1.67,1.63
"Apache Spark - Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time (sec)",LIB,1.28,1.34
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,53.91,53.95
"Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,148.83,149.1
"Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,69.44,69.59
"Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,583.81,586
"Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,176.4,177.27
"Numenta Anomaly Benchmark - Detector: KNN CAD (sec)",LIB,129.147,133.475
"Numenta Anomaly Benchmark - Detector: Relative Entropy (sec)",LIB,13.21,13.106
"Numenta Anomaly Benchmark - Detector: Windowed Gaussian (sec)",LIB,6.199,6.327
"Numenta Anomaly Benchmark - Detector: Earthgecko Skyline (sec)",LIB,77.22,77.408
"Numenta Anomaly Benchmark - Detector: Bayesian Changepoint (sec)",LIB,20.148,20.56
"Numenta Anomaly Benchmark - Detector: Contextual Anomaly Detector OSE (sec)",LIB,38.983,39.16
"EnCodec - Target Bandwidth: 3 kbps (sec)",LIB,38.187,38.433
"EnCodec - Target Bandwidth: 6 kbps (sec)",LIB,37.604,37.903
"EnCodec - Target Bandwidth: 24 kbps (sec)",LIB,42.075,42.307
"EnCodec - Target Bandwidth: 1.5 kbps (sec)",LIB,36.013,36.372
"Scikit-Learn - Benchmark: MNIST Dataset (sec)",LIB,103.896,104.931
"Scikit-Learn - Benchmark: TSNE MNIST Dataset (sec)",LIB,31.586,31.926
"Scikit-Learn - Benchmark: Sparse Random Projections, 100 Iterations (sec)",LIB,162.422,162.588