2024 Server CPUs

Benchmarks by Michael Larabel for a future article. 2 x Intel Xeon Max 9480 testing with a Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS) and ASPEED on Ubuntu 24.04 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 2405073-NE-UPLOAD15789
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AV1 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 4 Tests
C++ Boost Tests 5 Tests
Chess Test Suite 2 Tests
Timed Code Compilation 11 Tests
C/C++ Compiler Tests 18 Tests
Compression Tests 3 Tests
CPU Massive 28 Tests
Creator Workloads 26 Tests
Cryptography 5 Tests
Database Test Suite 6 Tests
Encoding 7 Tests
Fortran Tests 7 Tests
Game Development 6 Tests
HPC - High Performance Computing 30 Tests
Imaging 5 Tests
Java Tests 2 Tests
Common Kernel Benchmarks 3 Tests
LAPACK (Linear Algebra Pack) Tests 3 Tests
Linear Algebra 2 Tests
Machine Learning 7 Tests
Molecular Dynamics 10 Tests
MPI Benchmarks 10 Tests
Multi-Core 47 Tests
NVIDIA GPU Compute 3 Tests
Intel oneAPI 7 Tests
OpenMPI Tests 19 Tests
Programmer / Developer System Benchmarks 16 Tests
Python 2 Tests
Raytracing 2 Tests
Renderers 5 Tests
Scientific Computing 15 Tests
Software Defined Radio 2 Tests
Server 11 Tests
Server CPU Tests 19 Tests
Single-Threaded 3 Tests
Texture Compression 2 Tests
Video Encoding 7 Tests
Common Workstation Benchmarks 3 Tests

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Identifier
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Date
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  Test
  Duration
Xeon Platinum 8490H
April 16
  1 Day, 1 Hour, 45 Minutes
Xeon Platinum 8490H 2P
April 17
  1 Day, 3 Hours, 9 Minutes
Xeon Platinum 8592+
April 11
  1 Day, 2 Hours, 43 Minutes
Xeon Platinum 8592+ 2P
April 08
  1 Day, 4 Hours, 29 Minutes
Xeon Max 9468
April 21
  1 Day, 8 Hours, 22 Minutes
Xeon Max 9468 2P
April 22
  1 Day, 5 Hours, 47 Minutes
Xeon Max 9480
April 26
  1 Day, 6 Hours, 43 Minutes
Xeon Max 9480 2P
April 27
  1 Day, 12 Hours, 13 Minutes
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  1 Day, 5 Hours, 39 Minutes

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2024 Server CPUs Suite 1.0.0 System Test suite extracted from 2024 Server CPUs. pts/pytorch-1.1.0 cpu 1 resnet50 Device: CPU - Batch Size: 1 - Model: ResNet-50 pts/pytorch-1.1.0 cpu 1 resnet152 Device: CPU - Batch Size: 1 - Model: ResNet-152 pts/pytorch-1.1.0 cpu 64 resnet50 Device: CPU - Batch Size: 64 - Model: ResNet-50 pts/pytorch-1.1.0 cpu 64 resnet152 Device: CPU - Batch Size: 64 - Model: ResNet-152 pts/pytorch-1.1.0 cpu 256 resnet50 Device: CPU - Batch Size: 256 - Model: ResNet-50 pts/pytorch-1.1.0 cpu 256 resnet152 Device: CPU - Batch Size: 256 - Model: ResNet-152 pts/pytorch-1.1.0 cpu 512 resnet50 Device: CPU - Batch Size: 512 - Model: ResNet-50 pts/pytorch-1.1.0 cpu 512 resnet152 Device: CPU - Batch Size: 512 - Model: ResNet-152 pts/graph500-1.0.2 26 Scale: 26 pts/minibude-1.0.0 --deck ../data/bm1 --iterations 500 Implementation: OpenMP - Input Deck: BM1 pts/minibude-1.0.0 --deck ../data/bm2 --iterations 10 Implementation: OpenMP - Input Deck: BM2 pts/openssl-3.3.0 sha256 Algorithm: SHA256 pts/openssl-3.3.0 sha512 Algorithm: SHA512 pts/openssl-3.3.0 -evp aes-128-gcm Algorithm: AES-128-GCM pts/openssl-3.3.0 -evp aes-256-gcm Algorithm: AES-256-GCM pts/openssl-3.3.0 -evp chacha20 Algorithm: ChaCha20 pts/openssl-3.3.0 -evp chacha20-poly1305 Algorithm: ChaCha20-Poly1305 pts/minife-1.0.0 -‐nx 264 --ny 256 -‐nz 256 Problem Size: Small pts/amg-1.1.0 pts/ffmpeg-7.0.1 --encoder=libx265 upload Encoder: libx265 - Scenario: Upload pts/ffmpeg-7.0.1 --encoder=libx265 platform Encoder: libx265 - Scenario: Platform pts/ffmpeg-7.0.1 --encoder=libx265 vod Encoder: libx265 - Scenario: Video On Demand pts/openvino-1.5.0 -m models/intel/face-detection-0206/FP16-INT8/face-detection-0206.xml -d CPU Model: Face Detection FP16-INT8 - Device: CPU pts/openvino-1.5.0 -m models/intel/age-gender-recognition-retail-0013/FP16-INT8/age-gender-recognition-retail-0013.xml -d CPU Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU pts/openvino-1.5.0 -m models/intel/person-detection-0303/FP16/person-detection-0303.xml -d CPU Model: Person Detection FP16 - Device: CPU pts/openvino-1.5.0 -m models/intel/weld-porosity-detection-0001/FP16-INT8/weld-porosity-detection-0001.xml -d CPU Model: Weld Porosity Detection FP16-INT8 - Device: CPU pts/openvino-1.5.0 -m models/intel/vehicle-detection-0202/FP16-INT8/vehicle-detection-0202.xml -d CPU Model: Vehicle Detection FP16-INT8 - Device: CPU pts/openvino-1.5.0 -m models/intel/person-vehicle-bike-detection-2004/FP16/person-vehicle-bike-detection-2004.xml -d CPU Model: Person Vehicle Bike Detection FP16 - Device: CPU pts/openvino-1.5.0 -m models/intel/machine-translation-nar-en-de-0002/FP16/machine-translation-nar-en-de-0002.xml -d CPU Model: Machine Translation EN To DE FP16 - Device: CPU pts/openvino-1.5.0 -m models/intel/face-detection-retail-0005/FP16-INT8/face-detection-retail-0005.xml -d CPU Model: Face Detection Retail FP16-INT8 - Device: CPU pts/openvino-1.5.0 -m models/intel/handwritten-english-recognition-0001/FP16-INT8/handwritten-english-recognition-0001.xml -d CPU Model: Handwritten English Recognition FP16-INT8 - Device: CPU pts/openvino-1.5.0 -m models/intel/road-segmentation-adas-0001/FP16-INT8/road-segmentation-adas-0001.xml -d CPU Model: Road Segmentation ADAS FP16-INT8 - Device: CPU pts/openvino-1.5.0 -m models/intel/person-reidentification-retail-0277/FP16/person-reidentification-retail-0277.xml -d CPU Model: Person Re-Identification Retail FP16 - Device: CPU pts/openvino-1.5.0 -m models/intel/noise-suppression-poconetlike-0001/FP16/noise-suppression-poconetlike-0001.xml -d CPU Model: Noise Suppression Poconet-Like FP16 - Device: CPU pts/embree-1.6.1 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon pts/embree-1.6.1 pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon Obj pts/embree-1.6.1 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/svt-av1-2.12.0 --preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 13 - Input: Bosphorus 4K pts/svt-av1-2.12.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/svt-av1-2.12.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/svt-av1-2.12.0 --preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 4 - Input: Bosphorus 4K pts/x265-1.4.0 Bosphorus_3840x2160.y4m Video Input: Bosphorus 4K pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset slow Video Input: Bosphorus 4K - Video Preset: Slow pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset medium Video Input: Bosphorus 4K - Video Preset: Medium pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset veryfast Video Input: Bosphorus 4K - Video Preset: Very Fast pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset superfast Video Input: Bosphorus 4K - Video Preset: Super Fast pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra Fast pts/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset slow Video Input: Bosphorus 4K - Video Preset: Slow pts/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset medium Video Input: Bosphorus 4K - Video Preset: Medium pts/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset veryfast Video Input: Bosphorus 4K - Video Preset: Very Fast pts/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset superfast Video Input: Bosphorus 4K - Video Preset: Super Fast pts/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra Fast pts/vvenc-1.11.0 -i Bosphorus_3840x2160.y4m --preset fast --tiles 2x2 --additional WaveFrontSynchro=1 Video Input: Bosphorus 4K - Video Preset: Fast pts/vvenc-1.11.0 -i Bosphorus_3840x2160.y4m --preset faster --ifp 1 --tiles 2x1 --additional WaveFrontSynchro=1 Video Input: Bosphorus 4K - Video Preset: Faster pts/mt-dgemm-1.2.0 Sustained Floating-Point Rate pts/hpcg-1.3.0 --nx=144 --ny=144 --nz=144 --rt=60 X Y Z: 144 144 144 - RT: 60 pts/xmrig-1.2.0 -a gr --bench=1M Variant: GhostRider - Hash Count: 1M pts/oidn-2.2.0 -r RT.hdr_alb_nrm.3840x2160 -d cpu Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only pts/oidn-2.2.0 -r RT.ldr_alb_nrm.3840x2160 -d cpu Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only pts/oidn-2.2.0 -r RTLightmap.hdr.4096x4096 -d cpu Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only pts/tensorflow-2.2.0 --device cpu --batch_size=1 --model=resnet50 Device: CPU - Batch Size: 1 - Model: ResNet-50 pts/tensorflow-2.2.0 --device cpu --batch_size=1 --model=alexnet Device: CPU - Batch Size: 1 - Model: AlexNet pts/tensorflow-2.2.0 --device cpu --batch_size=1 --model=googlenet Device: CPU - Batch Size: 1 - Model: GoogLeNet pts/tensorflow-2.2.0 --device cpu --batch_size=64 --model=resnet50 Device: CPU - Batch Size: 64 - Model: ResNet-50 pts/tensorflow-2.2.0 --device cpu --batch_size=64 --model=alexnet Device: CPU - Batch Size: 64 - Model: AlexNet pts/tensorflow-2.2.0 --device cpu --batch_size=64 --model=googlenet Device: CPU - Batch Size: 64 - Model: GoogLeNet pts/tensorflow-2.2.0 --device cpu --batch_size=256 --model=resnet50 Device: CPU - Batch Size: 256 - Model: ResNet-50 pts/tensorflow-2.2.0 --device cpu --batch_size=256 --model=alexnet Device: CPU - Batch Size: 256 - Model: AlexNet pts/tensorflow-2.2.0 --device cpu --batch_size=256 --model=googlenet Device: CPU - Batch Size: 256 - Model: GoogLeNet pts/tensorflow-2.2.0 --device cpu --batch_size=512 --model=resnet50 Device: CPU - Batch Size: 512 - Model: ResNet-50 pts/tensorflow-2.2.0 --device cpu --batch_size=512 --model=alexnet Device: CPU - Batch Size: 512 - Model: AlexNet pts/tensorflow-2.2.0 --device cpu --batch_size=512 --model=googlenet Device: CPU - Batch Size: 512 - Model: GoogLeNet pts/onnx-1.17.0 yolov4/yolov4.onnx -e cpu Model: yolov4 - Device: CPU - Executor: Standard pts/onnx-1.17.0 yolov4/yolov4.onnx -e cpu -P Model: yolov4 - Device: CPU - Executor: Parallel pts/onnx-1.17.0 fcn-resnet101-11/model.onnx -e cpu Model: fcn-resnet101-11 - Device: CPU - Executor: Standard pts/onnx-1.17.0 fcn-resnet101-11/model.onnx -e cpu -P Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel pts/onnx-1.17.0 super_resolution/super_resolution.onnx -e cpu Model: super-resolution-10 - Device: CPU - Executor: Standard pts/onnx-1.17.0 super_resolution/super_resolution.onnx -e cpu -P Model: super-resolution-10 - Device: CPU - Executor: Parallel pts/onnx-1.17.0 bertsquad-12/bertsquad-12.onnx -e cpu Model: bertsquad-12 - Device: CPU - Executor: Standard pts/onnx-1.17.0 bertsquad-12/bertsquad-12.onnx -e cpu -P Model: bertsquad-12 - Device: CPU - Executor: Parallel pts/onnx-1.17.0 GPT2/model.onnx -e cpu Model: GPT-2 - Device: CPU - Executor: Standard pts/onnx-1.17.0 GPT2/model.onnx -e cpu -P Model: GPT-2 - Device: CPU - Executor: Parallel pts/onnx-1.17.0 resnet100/resnet100.onnx -e cpu Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard pts/onnx-1.17.0 resnet100/resnet100.onnx -e cpu -P Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel pts/onnx-1.17.0 resnet50-v1-12-int8/resnet50-v1-12-int8.onnx -e cpu Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard pts/onnx-1.17.0 resnet50-v1-12-int8/resnet50-v1-12-int8.onnx -e cpu -P Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel pts/onnx-1.17.0 caffenet-12-int8/caffenet-12-int8.onnx -e cpu Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard pts/onnx-1.17.0 caffenet-12-int8/caffenet-12-int8.onnx -e cpu -P Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel pts/onnx-1.17.0 FasterRCNN-12-int8/FasterRCNN-12-int8.onnx -e cpu Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard pts/onnx-1.17.0 FasterRCNN-12-int8/FasterRCNN-12-int8.onnx -e cpu -P Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel pts/onnx-1.17.0 t5-encoder/t5-encoder.onnx -e cpu Model: T5 Encoder - Device: CPU - Executor: Standard pts/onnx-1.17.0 t5-encoder/t5-encoder.onnx -e cpu -P Model: T5 Encoder - Device: CPU - Executor: Parallel pts/openvkl-2.0.0 vklBenchmarkCPU --benchmark_filter=ispc Benchmark: vklBenchmarkCPU ISPC pts/ospray-3.1.0 --benchmark_filter=gravity_spheres_volume/dim_512/ao/real_time Benchmark: gravity_spheres_volume/dim_512/ao/real_time pts/ospray-3.1.0 --benchmark_filter=gravity_spheres_volume/dim_512/scivis/real_time Benchmark: gravity_spheres_volume/dim_512/scivis/real_time pts/ospray-3.1.0 --benchmark_filter=gravity_spheres_volume/dim_512/pathtracer/real_time Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time pts/ospray-3.1.0 --benchmark_filter=particle_volume/ao/real_time Benchmark: particle_volume/ao/real_time pts/ospray-3.1.0 --benchmark_filter=particle_volume/scivis/real_time Benchmark: particle_volume/scivis/real_time pts/ospray-3.1.0 --benchmark_filter=particle_volume/pathtracer/real_time Benchmark: particle_volume/pathtracer/real_time pts/graphics-magick-2.2.0 -colorspace HWB Operation: HWB Color Space pts/graphics-magick-2.2.0 -operator all Noise-Gaussian 30% Operation: Noise-Gaussian pts/graphics-magick-2.2.0 -enhance Operation: Enhanced pts/graphics-magick-2.2.0 -resize 50% Operation: Resizing pts/graphics-magick-2.2.0 -rotate 90 Operation: Rotate pts/graphics-magick-2.2.0 -sharpen 0x2.0 Operation: Sharpen pts/graphics-magick-2.2.0 -swirl 90 Operation: Swirl pts/coremark-1.0.1 CoreMark Size 666 - Iterations Per Second pts/aircrack-ng-1.3.0 pts/luxcorerender-1.4.0 DLSC/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: DLSC - Acceleration: CPU pts/luxcorerender-1.4.0 RainbowColorsAndPrism/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Rainbow Colors and Prism - Acceleration: CPU pts/luxcorerender-1.4.0 LuxCore2.1Benchmark/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: LuxCore Benchmark - Acceleration: CPU pts/luxcorerender-1.4.0 OrangeJuice/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Orange Juice - Acceleration: CPU pts/luxcorerender-1.4.0 DanishMood/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Danish Mood - Acceleration: CPU pts/securemark-1.0.0 Benchmark: SecureMark-TLS pts/compress-zstd-1.6.0 -b19 Compression Level: 19 - Compression Speed pts/compress-zstd-1.6.0 -b19 Compression Level: 19 - Decompression Speed pts/compress-zstd-1.6.0 -b19 --long Compression Level: 19, Long Mode - Compression Speed pts/compress-zstd-1.6.0 -b19 --long Compression Level: 19, Long Mode - Decompression Speed pts/srsran-2.3.0 tests/benchmarks/phy/upper/channel_processors/pusch/pusch_processor_benchmark -m throughput_total -R 100 -B 10 -P pusch_scs30_100MHz_256qam_max Test: PUSCH Processor Benchmark, Throughput Total pts/srsran-2.3.0 tests/benchmarks/phy/upper/channel_processors/pusch/pusch_processor_benchmark -m throughput_thread -R 350 -B 10 -T 1 -t 0 -P pusch_scs30_100MHz_256qam_max Test: PUSCH Processor Benchmark, Throughput Thread pts/srsran-2.3.0 tests/benchmarks/phy/upper/channel_processors/pdsch_processor_benchmark -m throughput_total -R 350 -B 10 -P 4port_4layer_scs30_100MHz_256qam Test: PDSCH Processor Benchmark, Throughput Total pts/srsran-2.3.0 tests/benchmarks/phy/upper/channel_processors/pdsch_processor_benchmark -m throughput_thread -R 350 -B 10 -T 1 -P 4port_4layer_scs30_100MHz_256qam Test: PDSCH Processor Benchmark, Throughput Thread pts/quantlib-1.2.0 Configuration: Single-Threaded pts/quantlib-1.2.0 --mp Configuration: Multi-Threaded pts/askap-2.1.0 tConvolveOMP Test: tConvolve OpenMP - Gridding pts/askap-2.1.0 tConvolveOMP Test: tConvolve OpenMP - Degridding pts/askap-2.1.0 tConvolveMT Test: tConvolve MT - Gridding pts/askap-2.1.0 tConvolveMT Test: tConvolve MT - Degridding pts/compress-7zip-1.10.0 Test: Compression Rating pts/compress-7zip-1.10.0 Test: Decompression Rating pts/webp-1.2.0 -q 100 Encode Settings: Quality 100 pts/webp-1.2.0 -q 100 -m 6 Encode Settings: Quality 100, Highest Compression pts/webp-1.2.0 -q 100 -lossless Encode Settings: Quality 100, Lossless pts/webp-1.2.0 -q 100 -lossless -m 6 Encode Settings: Quality 100, Lossless, Highest Compression pts/jpegxl-1.6.0 --lossless_jpeg=0 sample-photo-6000x4000.JPG out.jxl -q 90 --num_reps 50 Input: JPEG - Quality: 90 pts/jpegxl-1.6.0 --lossless_jpeg=0 sample-photo-6000x4000.JPG out.jxl -q 100 --num_reps 20 Input: JPEG - Quality: 100 pts/jpegxl-1.6.0 sample-4.png out.jxl -q 90 --num_reps 50 Input: PNG - Quality: 90 pts/jpegxl-1.6.0 sample-4.png out.jxl -q 100 --num_reps 20 Input: PNG - Quality: 100 pts/askap-2.1.0 tConvolveMPI Test: tConvolve MPI - Degridding pts/askap-2.1.0 tConvolveMPI Test: tConvolve MPI - Gridding pts/astcenc-1.5.1 -medium -repeats 40 Preset: Medium pts/astcenc-1.5.1 -thorough -repeats 20 Preset: Thorough pts/astcenc-1.5.1 -verythorough -repeats 10 Preset: Very Thorough pts/astcenc-1.5.1 -exhaustive -repeats 6 Preset: Exhaustive pts/stockfish-1.5.0 Chess Benchmark pts/gromacs-1.9.0 mpi-build water-cut1.0_GMX50_bare/1536 Implementation: MPI CPU - Input: water_GMX50_bare pts/lammps-1.4.0 in.rhodo Model: Rhodopsin Protein pts/lammps-1.4.0 benchmark_20k_atoms.in Model: 20k Atoms pts/namd-1.3.1 ../f1atpase/f1atpase.namd Input: ATPase with 327,506 Atoms pts/namd-1.3.1 ../stmv/stmv.namd Input: STMV with 1,066,628 Atoms pts/rocksdb-1.6.0 --benchmarks="readrandom" Test: Random Read pts/rocksdb-1.6.0 --benchmarks="readwhilewriting" Test: Read While Writing pts/speedb-1.0.1 --benchmarks="readrandom" Test: Random Read pts/speedb-1.0.1 --benchmarks="readwhilewriting" Test: Read While Writing pts/cockroach-1.0.2 kv --ramp 10s --read-percent 95 --concurrency 512 Workload: KV, 95% Reads - Concurrency: 512 pts/cockroach-1.0.2 kv --ramp 10s --read-percent 50 --concurrency 512 Workload: KV, 50% Reads - Concurrency: 512 pts/cockroach-1.0.2 kv --ramp 10s --read-percent 60 --concurrency 512 Workload: KV, 60% Reads - Concurrency: 512 pts/memcached-1.2.0 --ratio=1:100 Set To Get Ratio: 1:100 pts/apache-iotdb-1.2.0 500 100 800 400 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 pts/apache-iotdb-1.2.0 800 100 800 100 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 pts/clickhouse-1.2.0 100M Rows Hits Dataset, First Run / Cold Cache pts/clickhouse-1.2.0 100M Rows Hits Dataset, Second Run pts/clickhouse-1.2.0 100M Rows Hits Dataset, Third Run pts/john-the-ripper-1.8.0 --format=md5crypt Test: MD5 pts/john-the-ripper-1.8.0 --format=bcrypt Test: Blowfish pts/john-the-ripper-1.8.0 --format=bcrypt Test: bcrypt pts/john-the-ripper-1.8.0 --format=wpapsk Test: WPA PSK pts/nginx-3.0.1 -c 1000 Connections: 1000 pts/node-web-tooling-1.0.1 pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 32 Threads: 1 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 57 Threads: 1 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 512 Threads: 1 - Buffer Length: 256 - Filter Length: 512 pts/liquid-dsp-1.6.0 -n 64 -b 256 -f 32 Threads: 64 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 64 -b 256 -f 57 Threads: 64 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 64 -b 256 -f 512 Threads: 64 - Buffer Length: 256 - Filter Length: 512 pts/liquid-dsp-1.6.0 -n 128 -b 256 -f 32 Threads: 128 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 128 -b 256 -f 57 Threads: 128 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 128 -b 256 -f 512 Threads: 128 - Buffer Length: 256 - Filter Length: 512 pts/liquid-dsp-1.6.0 -n 256 -b 256 -f 32 Threads: 256 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 256 -b 256 -f 57 Threads: 256 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 256 -b 256 -f 512 Threads: 256 - Buffer Length: 256 - Filter Length: 512 pts/numpy-1.2.1 pts/openssl-3.3.0 rsa4096 Algorithm: RSA4096 pts/llamafile-1.1.0 run-llava --gpu DISABLE Test: llava-v1.5-7b-q4 - Acceleration: CPU pts/llamafile-1.1.0 run-wizardcoder --gpu DISABLE Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU pts/npb-1.4.5 ep.D Test / Class: EP.D pts/npb-1.4.5 lu.C Test / Class: LU.C pts/npb-1.4.5 sp.C Test / Class: SP.C pts/npb-1.4.5 is.D Test / Class: IS.D pts/npb-1.4.5 mg.C Test / Class: MG.C pts/npb-1.4.5 cg.C Test / Class: CG.C pts/pgbench-1.14.0 -s 100 -c 1000 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write pts/pgbench-1.14.0 -s 100 -c 1000 -S Scaling Factor: 100 - Clients: 1000 - Mode: Read Only pts/brl-cad-1.6.0 VGR Performance Metric pts/synthmark-1.0.1 -tv -p100 -s30 Test: VoiceMark_100 pts/lulesh-1.1.1 pts/pennant-1.1.0 leblancbig/leblancbig.pnt Test: leblancbig pts/pennant-1.1.0 sedovbig/sedovbig.pnt Test: sedovbig pts/pybench-1.1.3 Total For Average Test Times pts/pgbench-1.14.0 -s 100 -c 1000 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency pts/pgbench-1.14.0 -s 100 -c 1000 -S Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency pts/ospray-studio-1.3.0 --cameras 1 1 --resolution 3840x2160 --spp 1 --renderer pathtracer Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU pts/ospray-studio-1.3.0 --cameras 1 1 --resolution 3840x2160 --spp 16 --renderer pathtracer Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU pts/ospray-studio-1.3.0 --cameras 1 1 --resolution 3840x2160 --spp 32 --renderer pathtracer Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU pts/ospray-studio-1.3.0 --cameras 3 3 --resolution 3840x2160 --spp 1 --renderer pathtracer Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU pts/ospray-studio-1.3.0 --cameras 3 3 --resolution 3840x2160 --spp 16 --renderer pathtracer Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU pts/ospray-studio-1.3.0 --cameras 3 3 --resolution 3840x2160 --spp 32 --renderer pathtracer Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU pts/draco-1.6.1 -i church.ply Model: Church Facade pts/draco-1.6.1 -i lion.ply Model: Lion pts/onednn-3.4.0 --conv --batch=inputs/conv/shapes_auto --engine=cpu Harness: Convolution Batch Shapes Auto - Engine: CPU pts/onednn-3.4.0 --deconv --batch=inputs/deconv/shapes_1d --engine=cpu Harness: Deconvolution Batch shapes_1d - Engine: CPU pts/onednn-3.4.0 --deconv --batch=inputs/deconv/shapes_3d --engine=cpu Harness: Deconvolution Batch shapes_3d - Engine: CPU pts/onednn-3.4.0 --ip --batch=inputs/ip/shapes_1d --engine=cpu Harness: IP Shapes 1D - Engine: CPU pts/onednn-3.4.0 --ip --batch=inputs/ip/shapes_3d --engine=cpu Harness: IP Shapes 3D - Engine: CPU pts/onednn-3.4.0 --rnn --batch=inputs/rnn/perf_rnn_training --engine=cpu Harness: Recurrent Neural Network Training - Engine: CPU pts/onednn-3.4.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --engine=cpu Harness: Recurrent Neural Network Inference - Engine: CPU pts/dacapobench-1.1.0 luindex Java Test: Apache Lucene Search Index pts/dacapobench-1.1.0 jython Java Test: Jython pts/dacapobench-1.1.0 tradebeans Java Test: Tradebeans pts/dacapobench-1.1.0 tradesoap Java Test: Tradesoap pts/dacapobench-1.1.0 kafka Java Test: Apache Kafka pts/build-linux-kernel-1.16.0 defconfig Build: defconfig pts/build-linux-kernel-1.16.0 allmodconfig Build: allmodconfig pts/build-ffmpeg-7.0.0 Time To Compile pts/build-godot-4.0.0 Time To Compile pts/build-nodejs-1.4.0 Time To Compile pts/build-gem5-1.1.0 Time To Compile pts/build-llvm-1.5.0 Ninja Build System: Ninja pts/build-php-1.7.0 Time To Compile pts/build-wasmer-1.2.0 Time To Compile pts/build-mesa-1.1.0 Time To Compile pts/build-imagemagick-1.7.2 Time To Compile pts/build-python-1.0.0 Build Configuration: Default pts/build-python-1.0.0 --enable-optimizations --with-lto Build Configuration: Released Build, PGO + LTO Optimized pts/duckdb-1.0.0 benchmark/imdb Benchmark: IMDB pts/duckdb-1.0.0 benchmark/tpch/parquet Benchmark: TPC-H Parquet pts/wrf-1.0.1 -i conus 2.5km Input: conus 2.5km pts/relion-1.1.0 --iter 1 --cpu --j 1 Test: Basic - Device: CPU pts/m-queens-1.1.0 Time To Solve pts/cloverleaf-1.2.0 clover_bm64_short Input: clover_bm64_short pts/cloverleaf-1.2.0 clover_bm16 Input: clover_bm16 pts/easywave-1.0.0 -grid examples/e2Asean.grd -source examples/BengkuluSept2007.flt -time 1200 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 pts/easywave-1.0.0 -grid examples/e2Asean.grd -source examples/BengkuluSept2007.flt -time 2400 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 pts/gpaw-1.2.0 carbon-nanotube Input: Carbon Nanotube pts/nwchem-1.1.1 Input: C240 Buckyball pts/incompact3d-2.0.2 input_193_nodes.i3d Input: input.i3d 193 Cells Per Direction pts/incompact3d-2.0.2 input.i3d Input: X3D-benchmarking input.i3d pts/openfoam-1.2.0 incompressible/simpleFoam/drivaerFastback/ -m S Input: drivaerFastback, Small Mesh Size - Mesh Time pts/openfoam-1.2.0 incompressible/simpleFoam/drivaerFastback/ -m S Input: drivaerFastback, Small Mesh Size - Execution Time pts/openfoam-1.2.0 incompressible/simpleFoam/drivaerFastback/ -m M Input: drivaerFastback, Medium Mesh Size - Mesh Time pts/openfoam-1.2.0 incompressible/simpleFoam/drivaerFastback/ -m M Input: drivaerFastback, Medium Mesh Size - Execution Time pts/openradioss-1.1.1 BIRD_WINDSHIELD_v1_0000.rad BIRD_WINDSHIELD_v1_0001.rad Model: Bird Strike on Windshield pts/openradioss-1.1.1 RUBBER_SEAL_IMPDISP_GEOM_0000.rad RUBBER_SEAL_IMPDISP_GEOM_0001.rad Model: Rubber O-Ring Seal Installation pts/openradioss-1.1.1 Cell_Phone_Drop_0000.rad Cell_Phone_Drop_0001.rad Model: Cell Phone Drop Test pts/openradioss-1.1.1 Bumper_Beam_AP_meshed_0000.rad Bumper_Beam_AP_meshed_0001.rad Model: Bumper Beam pts/openradioss-1.1.1 fsi_drop_container_0000.rad fsi_drop_container_0001.rad Model: INIVOL and Fluid Structure Interaction Drop Container pts/openradioss-1.1.1 NEON1M11_0000.rad NEON1M11_0001.rad Model: Chrysler Neon 1M pts/blender-4.1.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: BMW27 - Compute: CPU-Only pts/blender-4.1.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Classroom - Compute: CPU-Only pts/blender-4.1.0 -b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Fishy Cat - Compute: CPU-Only pts/blender-4.1.0 -b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Pabellon Barcelona - Compute: CPU-Only pts/blender-4.1.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Barbershop - Compute: CPU-Only pts/blender-4.1.0 -b ../junkshop.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Junkshop - Compute: CPU-Only pts/appleseed-1.0.1 emily.appleseed Scene: Emily pts/appleseed-1.0.1 disney_material_1.appleseed Scene: Disney Material pts/appleseed-1.0.1 material_tester_ambient_occlusion.appleseed Scene: Material Tester pts/compress-pbzip2-1.6.1 FreeBSD-13.0-RELEASE-amd64-memstick.img Compression pts/avifenc-1.4.1 -s 0 Encoder Speed: 0 pts/avifenc-1.4.1 -s 2 Encoder Speed: 2 pts/avifenc-1.4.1 -s 6 Encoder Speed: 6 pts/avifenc-1.4.1 -s 6 -l Encoder Speed: 6, Lossless pts/avifenc-1.4.1 -s 10 -l Encoder Speed: 10, Lossless system/octave-benchmark-1.0.1 system/rawtherapee-1.0.1 Total Benchmark Time pts/helsing-1.0.2 10000000000000 99999999999999 Digit Range: 14 digit pts/primesieve-1.10.0 1e12 Length: 1e12 pts/primesieve-1.10.0 1e13 Length: 1e13 pts/y-cruncher-1.4.0 500m Pi Digits To Calculate: 500M pts/y-cruncher-1.4.0 1b Pi Digits To Calculate: 1B pts/qmcpack-1.7.0 tests/molecules/Li2_STO_ae Li2.STO.long.in.xml Input: Li2_STO_ae