AMD EPYC Zen 1

AMD EPYC 7601 32-Core testing with a TYAN B8026T70AE24HR (V1.02.B10 BIOS) and llvmpipe on Ubuntu 23.10 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 2401063-NE-AMDEPYCZE11
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Result
Identifier
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Performance Per
Dollar
Date
Run
  Test
  Duration
EPYC 7601
January 05
  1 Day, 4 Hours, 15 Minutes
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AMD EPYC Zen 1 AMD EPYC 7601 32-Core testing with a TYAN B8026T70AE24HR (V1.02.B10 BIOS) and llvmpipe on Ubuntu 23.10 via the Phoronix Test Suite. ,,"EPYC 7601" Processor,,AMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads) Motherboard,,TYAN B8026T70AE24HR (V1.02.B10 BIOS) Chipset,,AMD 17h Memory,,128GB Disk,,1000GB INTEL SSDPE2KX010T8 + 280GB INTEL SSDPE21D280GA Graphics,,llvmpipe Monitor,,VE228 Network,,2 x Broadcom NetXtreme BCM5720 PCIe OS,,Ubuntu 23.10 Kernel,,6.6.9-060609-generic (x86_64) Desktop,,GNOME Shell 45.0 Display Server,,X Server 1.21.1.7 OpenGL,,4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits) Compiler,,GCC 13.2.0 File-System,,ext4 Screen Resolution,,1920x1080 ,,"EPYC 7601" "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,126082 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,136023 "7-Zip Compression - Test: Decompression Rating (MIPS/Watt)",HIB,215.039 "7-Zip Compression - CPU Power Consumption Monitor (Watts)",LIB,632.55 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,3.762393 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s/Watt)",HIB,0.006 "ACES DGEMM - CPU Power Consumption Monitor (Watts)",LIB,615.22 "Apache Cassandra - Test: Writes (Op/s)",HIB,153313 "Apache Cassandra - Test: Writes (Op/s/Watt)",HIB,257.305 "Apache Cassandra - CPU Power Consumption Monitor (Watts)",LIB,595.84 "Apache HTTP Server - Concurrent Requests: 1000 (Reqs/sec)",HIB,88228.72 "Apache HTTP Server - Concurrent Requests: 1000 (Reqs/sec/Watt)",HIB,133.428 "Apache HTTP Server - CPU Power Consumption Monitor (Watts)",LIB,661.25 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 (point/sec)",HIB,38556749 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 (Latency)",LIB,46.48 "Apache IoTDB - CPU Power Consumption Monitor (Watts)",LIB,386.49 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 (point/sec)",HIB,38853944 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 (Latency)",LIB,162.64 "Apache IoTDB - CPU Power Consumption Monitor (Watts)",LIB,388.08 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 (point/sec)",HIB,55722448 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 (Latency)",LIB,81.81 "Apache IoTDB - CPU Power Consumption Monitor (Watts)",LIB,453.09 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 (point/sec)",HIB,55039355 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 (Latency)",LIB,279.34 "Apache IoTDB - CPU Power Consumption Monitor (Watts)",LIB,454.34 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (point/sec)",HIB,60408895 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (Latency)",LIB,122.22 "Apache IoTDB - CPU Power Consumption Monitor (Watts)",LIB,498.48 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 (point/sec)",HIB,61779270 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 (Latency)",LIB,401.41 "Apache IoTDB - CPU Power Consumption Monitor (Watts)",LIB,497.45 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 (point/sec)",HIB,47189787 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 (Latency)",LIB,38.23 "Apache IoTDB - CPU Power Consumption Monitor (Watts)",LIB,419.22 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 (point/sec)",HIB,47189863 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 (Latency)",LIB,145.62 "Apache IoTDB - CPU Power Consumption Monitor (Watts)",LIB,423.68 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 (point/sec)",HIB,59180937 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 (Latency)",LIB,79.09 "Apache IoTDB - CPU Power Consumption Monitor (Watts)",LIB,499.38 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 (point/sec)",HIB,59498447 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 (Latency)",LIB,302.91 "Apache IoTDB - CPU Power Consumption Monitor (Watts)",LIB,493.96 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (point/sec)",HIB,61643882 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (Latency)",LIB,123.21 "Apache IoTDB - CPU Power Consumption Monitor (Watts)",LIB,535.85 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 (point/sec)",HIB,60202628 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 (Latency)",LIB,493.23 "Apache IoTDB - CPU Power Consumption Monitor (Watts)",LIB,527.11 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,73.03 "Blender - CPU Power Consumption Monitor (Watts)",LIB,675.15 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,193.36 "Blender - CPU Power Consumption Monitor (Watts)",LIB,696.05 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,101.52 "Blender - CPU Power Consumption Monitor (Watts)",LIB,682.06 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,247.45 "Blender - CPU Power Consumption Monitor (Watts)",LIB,698.6 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,770.00 "Blender - CPU Power Consumption Monitor (Watts)",LIB,701.62 "Chaos Group V-RAY - Mode: CPU (vsamples)",HIB,20223 "Chaos Group V-RAY - Mode: CPU (vsamples/Watt)",HIB,34.597 "Chaos Group V-RAY - CPU Power Consumption Monitor (Watts)",LIB,584.53 "CloverLeaf - Input: clover_bm64_short (sec)",LIB,105.80 "CloverLeaf - CPU Power Consumption Monitor (Watts)",LIB,587.11 "CloverLeaf - Input: clover_bm16 (sec)",LIB,978.18 "CloverLeaf - CPU Power Consumption Monitor (Watts)",LIB,591.37 "CPU Power Consumption Monitor - Phoronix Test Suite System Monitoring (Watts)",,559.03 "DuckDB - Benchmark: IMDB (sec)",LIB,199.322 "DuckDB - CPU Power Consumption Monitor (Watts)",LIB,399.38 "DuckDB - Benchmark: TPC-H Parquet (sec)",LIB,250.440 "DuckDB - CPU Power Consumption Monitor (Watts)",LIB,315.19 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 (sec)",LIB,152.991 "easyWave - CPU Power Consumption Monitor (Watts)",LIB,522.07 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 (sec)",LIB,355.129 "easyWave - CPU Power Consumption Monitor (Watts)",LIB,525.08 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,21.8202 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS/Watt)",HIB,0.034 "Embree - CPU Power Consumption Monitor (Watts)",LIB,648.63 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,18.4002 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS/Watt)",HIB,0.028 "Embree - CPU Power Consumption Monitor (Watts)",LIB,659.83 "FFmpeg - Encoder: libx265 - Scenario: Live (FPS)",HIB,58.34 "FFmpeg - Encoder: libx265 - Scenario: Live (FPS/Watt)",HIB,0.176 "FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,331.4 "FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,10.38 "FFmpeg - Encoder: libx265 - Scenario: Upload (FPS/Watt)",HIB,0.031 "FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,340.26 "FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,21.00 "FFmpeg - Encoder: libx265 - Scenario: Platform (FPS/Watt)",HIB,0.06 "FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,349.1 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,20.99 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS/Watt)",HIB,0.06 "FFmpeg - CPU Power Consumption Monitor (Watts)",LIB,349.55 "GPAW - Input: Carbon Nanotube (sec)",LIB,143.424 "GPAW - CPU Power Consumption Monitor (Watts)",LIB,666.47 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,1.996 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day/Watt)",HIB,0.003 "GROMACS - CPU Power Consumption Monitor (Watts)",LIB,668.1 "IndigoBench - Acceleration: CPU - Scene: Supercar (M samples/s)",HIB,8.607 "IndigoBench - Acceleration: CPU - Scene: Supercar (M samples/s/Watt)",HIB,0.013 "IndigoBench - CPU Power Consumption Monitor (Watts)",LIB,666.52 "IndigoBench - Acceleration: CPU - Scene: Bedroom (M samples/s)",HIB,4.006 "IndigoBench - Acceleration: CPU - Scene: Bedroom (M samples/s/Watt)",HIB,0.006 "IndigoBench - CPU Power Consumption Monitor (Watts)",LIB,663.06 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.48 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec/Watt)",HIB,0.001 "Intel Open Image Denoise - CPU Power Consumption Monitor (Watts)",LIB,659.39 "Kripke - (Throughput FoM)",HIB,184352267 "Kripke - (Throughput FoM/Watt)",HIB,287085.197 "Kripke - CPU Power Consumption Monitor (Watts)",LIB,642.15 "LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,13.749 "LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day/Watt)",HIB,0.02 "LAMMPS Molecular Dynamics Simulator - CPU Power Consumption Monitor (Watts)",LIB,689.74 "Meta Performance Per Watts - Performance Per Watts (Performance/Watts)",HIB,2564.4937 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (GFInst/s)",HIB,357.456 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s)",HIB,14.298 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s/Watt)",HIB,0.022 "miniBUDE - CPU Power Consumption Monitor (Watts)",LIB,658.73 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (GFInst/s)",HIB,355.946 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s)",HIB,14.238 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s/Watt)",HIB,0.021 "miniBUDE - CPU Power Consumption Monitor (Watts)",LIB,676 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,0.97403 "NAMD - CPU Power Consumption Monitor (Watts)",LIB,662.69 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,260.1636 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,61.4111 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,555.66 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,93.0253 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,171.8486 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,594.73 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,143.8266 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,111.0498 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,633.59 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,10.9118 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,1448.3126 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,564.42 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,71.0645 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,224.5209 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,630.31 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,71.7820 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,222.2382 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,631.12 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,10.9721 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,1444.5930 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,563.4 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,9.2958 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,1695.4008 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,581.73 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,145.5189 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,109.7383 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,155.2477 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,102.9609 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,635.42 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,13.2941 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,1200.0420 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,439.84 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,134.5223 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,118.7130 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,564.05 "nginx - Connections: 500 (Reqs/sec)",HIB,102247.14 "nginx - Connections: 500 (Reqs/sec/Watt)",HIB,151.496 "nginx - CPU Power Consumption Monitor (Watts)",LIB,674.92 "nginx - Connections: 1000 (Reqs/sec)",HIB,98966.93 "nginx - Connections: 1000 (Reqs/sec/Watt)",HIB,146.511 "nginx - CPU Power Consumption Monitor (Watts)",LIB,675.49 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec)",LIB,41.846127 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,123.21923 "OpenFOAM - CPU Power Consumption Monitor (Watts)",LIB,657.47 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Mesh Time (sec)",LIB,226.93585 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Execution Time (sec)",LIB,1180.3543 "OpenFOAM - CPU Power Consumption Monitor (Watts)",LIB,640.81 "OpenRadioss - Model: Chrysler Neon 1M (sec)",LIB,498.82 "OpenRadioss - CPU Power Consumption Monitor (Watts)",LIB,627.09 "OpenSSL - Algorithm: RSA4096 (sign/s)",HIB,4520.9 "OpenSSL - Algorithm: RSA4096 (verify/s)",HIB,293636.7 "OpenSSL - Algorithm: RSA4096 (verify/s/Watt)",HIB,432.326 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,679.2 "OpenSSL - Algorithm: SHA256 (byte/s)",HIB,27295403453 "OpenSSL - Algorithm: SHA256 (byte/s/Watt)",HIB,39173939.338 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,696.77 "OpenSSL - Algorithm: SHA512 (byte/s)",HIB,8343963373 "OpenSSL - Algorithm: SHA512 (byte/s/Watt)",HIB,11949440.208 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,698.27 "OpenSSL - Algorithm: AES-128-GCM (byte/s)",HIB,97808988750 "OpenSSL - Algorithm: AES-128-GCM (byte/s/Watt)",HIB,139960512.846 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,698.83 "OpenSSL - Algorithm: AES-256-GCM (byte/s)",HIB,89867483183 "OpenSSL - Algorithm: AES-256-GCM (byte/s/Watt)",HIB,128779763.985 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,697.84 "OpenSSL - Algorithm: ChaCha20 (byte/s)",HIB,47873581783 "OpenSSL - Algorithm: ChaCha20 (byte/s/Watt)",HIB,69981779.211 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,684.09 "OpenSSL - Algorithm: ChaCha20-Poly1305 (byte/s)",HIB,30304478457 "OpenSSL - Algorithm: ChaCha20-Poly1305 (byte/s/Watt)",HIB,44232442.1 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,685.12 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,3.82 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,2094.38 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,597.61 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,12968.70 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,2.44 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,629.55 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,43.79 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,182.44 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,669.21 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,377.39 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,84.70 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,606.76 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,296.71 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,26.93 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,616.25 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,470.42 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,16.98 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,661.76 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,41.47 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,192.59 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,665.32 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,877.95 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,9.09 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,604.28 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,188.68 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,169.37 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,671.51 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,149.82 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,53.35 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,615.89 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,2.59742 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec/Watt)",HIB,0.004 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,622.92 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,2.46713 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec/Watt)",HIB,0.004 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,617.13 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,4.15603 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec/Watt)",HIB,0.007 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,631.7 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,5.27837 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec/Watt)",HIB,0.008 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,680.07 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,5.23497 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec/Watt)",HIB,0.008 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,622.6 "OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,98.2406 "OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec/Watt)",HIB,0.162 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,607.68 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,8477 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,577.62 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,146133 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,628.66 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,281119 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,663.66 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,10070 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,580.98 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,170914 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,639.48 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,331849 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,669.24 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,26.36 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec/Watt)",HIB,0.043 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,616.95 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-50 (batches/sec)",HIB,21.40 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-50 (batches/sec/Watt)",HIB,0.033 "PyTorch - CPU Power Consumption Monitor (Watts)",LIB,651.73 "QuantLib - Configuration: Multi-Threaded (MFLOPS)",HIB,64508.5 "QuantLib - Configuration: Multi-Threaded (MFLOPS/Watt)",HIB,96.811 "QuantLib - CPU Power Consumption Monitor (Watts)",LIB,666.34 "rav1e - Speed: 10 (FPS)",HIB,6.968 "rav1e - Speed: 10 (FPS/Watt)",HIB,0.02 "rav1e - CPU Power Consumption Monitor (Watts)",LIB,349.27 "rav1e - Speed: 6 (FPS)",HIB,2.948 "rav1e - Speed: 6 (FPS/Watt)",HIB,0.008 "rav1e - CPU Power Consumption Monitor (Watts)",LIB,370.05 "rav1e - Speed: 5 (FPS)",HIB,2.245 "rav1e - Speed: 5 (FPS/Watt)",HIB,0.006 "rav1e - CPU Power Consumption Monitor (Watts)",LIB,371.99 "rav1e - Speed: 1 (FPS)",HIB,0.566 "rav1e - Speed: 1 (FPS/Watt)",HIB,0.001 "rav1e - CPU Power Consumption Monitor (Watts)",LIB,423.51 "Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,1247481.47 "Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 (Ops/sec/Watt)",HIB,1933.833 "Redis 7.0.12 + memtier_benchmark - CPU Power Consumption Monitor (Watts)",LIB,645.08 "Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,1159703.10 "Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 (Ops/sec/Watt)",HIB,1802.374 "Redis 7.0.12 + memtier_benchmark - CPU Power Consumption Monitor (Watts)",LIB,643.43 "RocksDB - Test: Random Read (Op/s)",HIB,83065366 "RocksDB - Test: Random Read (Op/s/Watt)",HIB,122252.445 "RocksDB - CPU Power Consumption Monitor (Watts)",LIB,679.46 "RocksDB - Test: Read While Writing (Op/s)",HIB,3389791 "RocksDB - Test: Read While Writing (Op/s/Watt)",HIB,4987.778 "RocksDB - CPU Power Consumption Monitor (Watts)",LIB,679.62 "RocksDB - Test: Read Random Write Random (Op/s)",HIB,1511932 "RocksDB - Test: Read Random Write Random (Op/s/Watt)",HIB,2251.899 "RocksDB - CPU Power Consumption Monitor (Watts)",LIB,671.4 "RocksDB - Test: Update Random (Op/s)",HIB,290567 "RocksDB - Test: Update Random (Op/s/Watt)",HIB,501.432 "RocksDB - CPU Power Consumption Monitor (Watts)",LIB,579.47 "SPECFEM3D - Model: Layered Halfspace (sec)",LIB,78.302248421 "SPECFEM3D - CPU Power Consumption Monitor (Watts)",LIB,668.46 "SPECFEM3D - Model: Water-layered Halfspace (sec)",LIB,74.738858894 "SPECFEM3D - CPU Power Consumption Monitor (Watts)",LIB,650.9 "SPECFEM3D - Model: Homogeneous Halfspace (sec)",LIB,38.688352853 "SPECFEM3D - CPU Power Consumption Monitor (Watts)",LIB,649.73 "SPECFEM3D - Model: Mount St. Helens (sec)",LIB,30.019220206 "SPECFEM3D - CPU Power Consumption Monitor (Watts)",LIB,636.39 "SPECFEM3D - Model: Tomographic Model (sec)",LIB,30.283106275 "SPECFEM3D - CPU Power Consumption Monitor (Watts)",LIB,639.56 "Speedb - Test: Random Read (Op/s)",HIB,86210286 "Speedb - Test: Random Read (Op/s/Watt)",HIB,126723.278 "Speedb - CPU Power Consumption Monitor (Watts)",LIB,680.3 "Speedb - Test: Read While Writing (Op/s)",HIB,6114827 "Speedb - Test: Read While Writing (Op/s/Watt)",HIB,9032.648 "Speedb - CPU Power Consumption Monitor (Watts)",LIB,676.97 "Speedb - Test: Read Random Write Random (Op/s)",HIB,1434755 "Speedb - Test: Read Random Write Random (Op/s/Watt)",HIB,2257.828 "Speedb - CPU Power Consumption Monitor (Watts)",LIB,635.46 "Speedb - Test: Update Random (Op/s)",HIB,201410 "Speedb - Test: Update Random (Op/s/Watt)",HIB,395.381 "Speedb - CPU Power Consumption Monitor (Watts)",LIB,509.41 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,68.380 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS/Watt)",HIB,0.178 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,384.19 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,71.056 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS/Watt)",HIB,0.179 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,396.77 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,26.513 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS/Watt)",HIB,0.054 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,492.66 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,3.039 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS/Watt)",HIB,0.006 "SVT-AV1 - CPU Power Consumption Monitor (Watts)",LIB,495.53 "TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,9.90 "TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec/Watt)",HIB,0.019 "TensorFlow - CPU Power Consumption Monitor (Watts)",LIB,526.44 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,39.870 "Timed FFmpeg Compilation - CPU Power Consumption Monitor (Watts)",LIB,523.46 "Timed Gem5 Compilation - Time To Compile (sec)",LIB,394.217 "Timed Gem5 Compilation - CPU Power Consumption Monitor (Watts)",LIB,529.47 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,76.325 "Timed Linux Kernel Compilation - CPU Power Consumption Monitor (Watts)",LIB,526.99 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,755.324 "Timed Linux Kernel Compilation - CPU Power Consumption Monitor (Watts)",LIB,676.51 "Timed LLVM Compilation - Build System: Ninja (sec)",LIB,437.561 "Timed LLVM Compilation - CPU Power Consumption Monitor (Watts)",LIB,644.25 "Timed LLVM Compilation - Build System: Unix Makefiles (sec)",LIB,532.477 "Timed LLVM Compilation - CPU Power Consumption Monitor (Watts)",LIB,592.01 "Timed MrBayes Analysis - Primate Phylogeny Analysis (sec)",LIB,193.368 "Timed MrBayes Analysis - CPU Power Consumption Monitor (Watts)",LIB,687.15 "Timed Node.js Compilation - Time To Compile (sec)",LIB,388.767 "Timed Node.js Compilation - CPU Power Consumption Monitor (Watts)",LIB,623.61 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,8.66 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Medium (FPS/Watt)",HIB,0.013 "uvg266 - CPU Power Consumption Monitor (Watts)",LIB,659.23 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,22.20 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS/Watt)",HIB,0.036 "uvg266 - CPU Power Consumption Monitor (Watts)",LIB,609.64 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,23.36 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS/Watt)",HIB,0.038 "uvg266 - CPU Power Consumption Monitor (Watts)",LIB,616.98 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,27.27 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS/Watt)",HIB,0.047 "uvg266 - CPU Power Consumption Monitor (Watts)",LIB,585.6 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,3.31 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS/Watt)",HIB,0.006 "VVenC - CPU Power Consumption Monitor (Watts)",LIB,512.37 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,6.478 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS/Watt)",HIB,0.012 "VVenC - CPU Power Consumption Monitor (Watts)",LIB,523 "x265 - Video Input: Bosphorus 4K (FPS)",HIB,14.57 "x265 - Video Input: Bosphorus 4K (FPS/Watt)",HIB,0.028 "x265 - CPU Power Consumption Monitor (Watts)",LIB,515.48 "Xcompact3d Incompact3d - Input: input.i3d 193 Cells Per Direction (sec)",LIB,37.5522614 "Xcompact3d Incompact3d - CPU Power Consumption Monitor (Watts)",LIB,576.82 "Xcompact3d Incompact3d - Input: X3D-benchmarking input.i3d (sec)",LIB,1279.59235 "Xcompact3d Incompact3d - CPU Power Consumption Monitor (Watts)",LIB,584.29 "Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,6890.3 "Xmrig - Variant: Monero - Hash Count: 1M (H/s/Watt)",HIB,10.714 "Xmrig - CPU Power Consumption Monitor (Watts)",LIB,643.11 "Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,10393.0 "Xmrig - Variant: Wownero - Hash Count: 1M (H/s/Watt)",HIB,15.755 "Xmrig - CPU Power Consumption Monitor (Watts)",LIB,659.68 "Xmrig - Variant: CryptoNight-Femto UPX2 - Hash Count: 1M (H/s)",HIB,7092.5 "Xmrig - Variant: CryptoNight-Femto UPX2 - Hash Count: 1M (H/s/Watt)",HIB,11.007 "Xmrig - CPU Power Consumption Monitor (Watts)",LIB,644.38 "Xmrig - Variant: CryptoNight-Heavy - Hash Count: 1M (H/s)",HIB,6932.6 "Xmrig - Variant: CryptoNight-Heavy - Hash Count: 1M (H/s/Watt)",HIB,10.752 "Xmrig - CPU Power Consumption Monitor (Watts)",LIB,644.79 "Xmrig - Variant: KawPow - Hash Count: 1M (H/s)",HIB,6984.4 "Xmrig - Variant: KawPow - Hash Count: 1M (H/s/Watt)",HIB,10.852 "Xmrig - CPU Power Consumption Monitor (Watts)",LIB,643.61 "Xmrig - Variant: GhostRider - Hash Count: 1M (H/s)",HIB,1104.3 "Xmrig - Variant: GhostRider - Hash Count: 1M (H/s/Watt)",HIB,1.982 "Xmrig - CPU Power Consumption Monitor (Watts)",LIB,557.27