2024 Server CPUs

2 x Intel Xeon 6780E testing with a Quanta Cloud QuantaGrid D55Q-2U S7Q-MB-MPS-MDP (2A05.QCT001 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 2406049-NE-2024SERVE17
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

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 8 Tests
C/C++ Compiler Tests 16 Tests
Compression Tests 3 Tests
CPU Massive 25 Tests
Creator Workloads 23 Tests
Cryptography 5 Tests
Database Test Suite 5 Tests
Encoding 7 Tests
Fortran Tests 7 Tests
Game Development 5 Tests
HPC - High Performance Computing 29 Tests
Imaging 3 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 44 Tests
NVIDIA GPU Compute 3 Tests
Intel oneAPI 7 Tests
OpenMPI Tests 18 Tests
Programmer / Developer System Benchmarks 12 Tests
Python 2 Tests
Raytracing 2 Tests
Renderers 5 Tests
Scientific Computing 15 Tests
Software Defined Radio 2 Tests
Server 7 Tests
Server CPU Tests 17 Tests
Single-Threaded 2 Tests
Video Encoding 7 Tests
Common Workstation Benchmarks 3 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Disable Color Branding
Prefer Vertical Bar Graphs
No Box Plots
On Line Graphs With Missing Data, Connect The Line Gaps

Additional Graphs

Show Perf Per Core/Thread Calculation Graphs Where Applicable
Show Perf Per Clock Calculation Graphs Where Applicable
Show Perf Per RAM Channel Calculation Graphs Where Applicable

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs
Condense Test Profiles With Multiple Version Results Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
Xeon Platinum 8490H
April 16
  22 Hours, 19 Minutes
Xeon Platinum 8490H 2P
April 17
  23 Hours
Xeon Platinum 8592+
April 11
  22 Hours, 9 Minutes
Xeon Platinum 8592+ 2P
April 08
  23 Hours, 49 Minutes
Xeon Max 9468
April 21
  1 Day, 3 Hours, 43 Minutes
Xeon Max 9468 2P
April 22
  1 Day, 34 Minutes
Xeon Max 9480
April 26
  1 Day, 1 Hour, 37 Minutes
Xeon Max 9480 2P
April 27
  1 Day, 6 Hours, 26 Minutes
Xeon Platinum 8380 2P
May 07
  1 Day, 5 Hours, 29 Minutes
Xeon Platinum 8380
May 09
  1 Day, 7 Hours, 15 Minutes
EPYC 9684X 2P
May 11
  1 Day, 4 Hours, 57 Minutes
EPYC 9684X
May 12
  1 Day, 27 Minutes
EPYC 9654
May 13
  1 Day, 1 Hour, 48 Minutes
EPYC 9654 2P
May 14
  1 Day, 6 Hours, 48 Minutes
EPYC 9754
May 15
  1 Day, 6 Hours
EPYC 9754 2P
May 17
  1 Day, 9 Hours, 52 Minutes
EPYC 8534P
May 18
  1 Day, 3 Hours, 8 Minutes
EPYC 8534PN
May 19
  1 Day, 3 Hours, 48 Minutes
Xeon 6766E 2P
May 24
  1 Day, 3 Hours, 18 Minutes
Xeon 6766E
May 25
  18 Hours, 24 Minutes
Xeon 6780E
May 26
  17 Hours, 33 Minutes
Xeon 6780E 2P
May 27
  23 Hours, 13 Minutes
Invert Hiding All Results Option
  1 Day, 2 Hours, 10 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


2024 Server CPUs Suite 1.0.0 System Test suite extracted from 2024 Server CPUs. pts/wrf-1.0.1 -i conus 2.5km Input: conus 2.5km pts/openvkl-2.0.0 vklBenchmarkCPU --benchmark_filter=ispc Benchmark: vklBenchmarkCPU ISPC pts/relion-1.1.0 --iter 1 --cpu --j 1 Test: Basic - Device: CPU pts/nwchem-1.1.1 Input: C240 Buckyball pts/hpcg-1.3.0 --nx=144 --ny=144 --nz=144 --rt=60 X Y Z: 144 144 144 - RT: 60 pts/tensorflow-2.2.0 --device cpu --batch_size=512 --model=resnet50 Device: CPU - Batch Size: 512 - Model: ResNet-50 pts/brl-cad-1.6.0 VGR Performance Metric pts/incompact3d-2.0.2 input.i3d Input: X3D-benchmarking input.i3d pts/cloverleaf-1.2.0 clover_bm16 Input: clover_bm16 pts/askap-2.1.0 tConvolveMT Test: tConvolve MT - Gridding pts/askap-2.1.0 tConvolveMT Test: tConvolve MT - Degridding pts/pytorch-1.1.0 cpu 256 resnet152 Device: CPU - Batch Size: 256 - Model: ResNet-152 pts/pgbench-1.14.0 -s 100 -c 1000 -S Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency pts/pgbench-1.14.0 -s 100 -c 1000 -S Scaling Factor: 100 - Clients: 1000 - Mode: Read Only pts/tensorflow-2.2.0 --device cpu --batch_size=256 --model=resnet50 Device: CPU - Batch Size: 256 - Model: ResNet-50 pts/openssl-3.3.0 rsa4096 Algorithm: RSA4096 pts/build-linux-kernel-1.16.0 allmodconfig Build: allmodconfig pts/stockfish-1.5.0 Chess Benchmark 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/pytorch-1.1.0 cpu 512 resnet152 Device: CPU - Batch Size: 512 - Model: ResNet-152 pts/pytorch-1.1.0 cpu 64 resnet152 Device: CPU - Batch Size: 64 - Model: ResNet-152 pts/securemark-1.0.0 Benchmark: SecureMark-TLS pts/clickhouse-1.2.0 100M Rows Hits Dataset, Third Run pts/clickhouse-1.2.0 100M Rows Hits Dataset, Second Run pts/clickhouse-1.2.0 100M Rows Hits Dataset, First Run / Cold Cache 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/openradioss-1.1.1 NEON1M11_0000.rad NEON1M11_0001.rad Model: Chrysler Neon 1M pts/namd-1.3.1 ../stmv/stmv.namd Input: STMV with 1,066,628 Atoms pts/build-gem5-1.1.0 Time To Compile pts/lammps-1.4.0 benchmark_20k_atoms.in Model: 20k Atoms pts/build-nodejs-1.4.0 Time To Compile pts/openssl-3.3.0 sha256 Algorithm: SHA256 pts/tensorflow-2.2.0 --device cpu --batch_size=512 --model=googlenet Device: CPU - Batch Size: 512 - Model: GoogLeNet 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/onnx-1.17.0 fcn-resnet101-11/model.onnx -e cpu Model: fcn-resnet101-11 - Device: CPU - Executor: Standard pts/ffmpeg-7.0.1 --encoder=libx265 upload Encoder: libx265 - Scenario: Upload 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 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write 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/numpy-1.2.1 pts/luxcorerender-1.4.0 DLSC/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: DLSC - Acceleration: CPU 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 sha512 Algorithm: SHA512 pts/openssl-3.3.0 -evp chacha20-poly1305 Algorithm: ChaCha20-Poly1305 pts/pytorch-1.1.0 cpu 512 resnet50 Device: CPU - Batch Size: 512 - Model: ResNet-50 pts/luxcorerender-1.4.0 LuxCore2.1Benchmark/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: LuxCore Benchmark - Acceleration: CPU pts/pytorch-1.1.0 cpu 1 resnet152 Device: CPU - Batch Size: 1 - Model: ResNet-152 pts/xmrig-1.2.0 -a gr --bench=1M Variant: GhostRider - Hash Count: 1M pts/luxcorerender-1.4.0 OrangeJuice/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Orange Juice - Acceleration: CPU pts/ospray-3.1.0 --benchmark_filter=particle_volume/scivis/real_time Benchmark: particle_volume/scivis/real_time pts/rocksdb-1.6.0 --benchmarks="readwhilewriting" Test: Read While Writing 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/openfoam-1.2.0 incompressible/simpleFoam/drivaerFastback/ -m M Input: drivaerFastback, Medium Mesh Size - Execution Time pts/openfoam-1.2.0 incompressible/simpleFoam/drivaerFastback/ -m M Input: drivaerFastback, Medium Mesh Size - Mesh Time pts/build-llvm-1.5.0 Ninja Build System: Ninja pts/memcached-1.2.0 --ratio=1:100 Set To Get Ratio: 1:100 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/namd-1.3.1 ../f1atpase/f1atpase.namd Input: ATPase with 327,506 Atoms pts/speedb-1.0.1 --benchmarks="readwhilewriting" Test: Read While Writing pts/pytorch-1.1.0 cpu 64 resnet50 Device: CPU - Batch Size: 64 - Model: ResNet-50 pts/onnx-1.17.0 resnet100/resnet100.onnx -e cpu Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard pts/onnx-1.17.0 bertsquad-12/bertsquad-12.onnx -e cpu Model: bertsquad-12 - Device: CPU - Executor: Standard pts/onnx-1.17.0 caffenet-12-int8/caffenet-12-int8.onnx -e cpu Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard pts/llamafile-1.1.0 run-wizardcoder --gpu DISABLE Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU pts/build-godot-4.0.0 Time To Compile pts/pytorch-1.1.0 cpu 256 resnet50 Device: CPU - Batch Size: 256 - Model: ResNet-50 pts/openradioss-1.1.1 fsi_drop_container_0000.rad fsi_drop_container_0001.rad Model: INIVOL and Fluid Structure Interaction Drop Container pts/qmcpack-1.7.0 tests/molecules/Li2_STO_ae Li2.STO.long.in.xml Input: Li2_STO_ae 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 caffenet-12-int8/caffenet-12-int8.onnx -e cpu -P Model: CaffeNet 12-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/openvino-1.5.0 -m models/intel/person-detection-0303/FP16/person-detection-0303.xml -d CPU Model: Person Detection FP16 - Device: CPU pts/onnx-1.17.0 GPT2/model.onnx -e cpu Model: GPT-2 - Device: CPU - Executor: Standard pts/tensorflow-2.2.0 --device cpu --batch_size=256 --model=googlenet Device: CPU - Batch Size: 256 - Model: GoogLeNet pts/ospray-3.1.0 --benchmark_filter=particle_volume/ao/real_time Benchmark: particle_volume/ao/real_time pts/onnx-1.17.0 yolov4/yolov4.onnx -e cpu Model: yolov4 - Device: CPU - Executor: Standard pts/onnx-1.17.0 super_resolution/super_resolution.onnx -e cpu Model: super-resolution-10 - Device: CPU - Executor: Standard 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 32 --renderer pathtracer Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU pts/compress-zstd-1.6.0 -b19 Compression Level: 19 - Decompression Speed pts/compress-zstd-1.6.0 -b19 Compression Level: 19 - Compression Speed pts/speedb-1.0.1 --benchmarks="readrandom" Test: Random Read pts/vvenc-1.11.0 -i Bosphorus_3840x2160.y4m --preset fast --tiles 2x2 --additional WaveFrontSynchro=1 Video Input: Bosphorus 4K - Video Preset: Fast pts/compress-zstd-1.6.0 -b19 --long Compression Level: 19, Long Mode - Decompression Speed pts/compress-zstd-1.6.0 -b19 --long Compression Level: 19, Long Mode - Compression Speed 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/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/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=64 --model=resnet50 Device: CPU - Batch Size: 64 - Model: ResNet-50 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/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/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/avifenc-1.4.1 -s 0 Encoder Speed: 0 pts/onnx-1.17.0 t5-encoder/t5-encoder.onnx -e cpu -P Model: T5 Encoder - Device: CPU - Executor: Parallel pts/askap-2.1.0 tConvolveMPI Test: tConvolve MPI - Gridding pts/askap-2.1.0 tConvolveMPI Test: tConvolve MPI - Degridding pts/helsing-1.0.2 10000000000000 99999999999999 Digit Range: 14 digit 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 3 3 --resolution 3840x2160 --spp 16 --renderer pathtracer Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU pts/cloverleaf-1.2.0 clover_bm64_short Input: clover_bm64_short 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/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/onnx-1.17.0 resnet100/resnet100.onnx -e cpu -P Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel 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/vehicle-detection-0202/FP16-INT8/vehicle-detection-0202.xml -d CPU Model: Vehicle Detection FP16-INT8 - Device: CPU 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/tensorflow-2.2.0 --device cpu --batch_size=512 --model=alexnet Device: CPU - Batch Size: 512 - Model: AlexNet pts/quantlib-1.2.0 --mp Configuration: Multi-Threaded 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/ospray-3.1.0 --benchmark_filter=gravity_spheres_volume/dim_512/pathtracer/real_time Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time 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/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/onnx-1.17.0 bertsquad-12/bertsquad-12.onnx -e cpu -P Model: bertsquad-12 - Device: CPU - Executor: Parallel 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/pytorch-1.1.0 cpu 1 resnet50 Device: CPU - Batch Size: 1 - Model: ResNet-50 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/onnx-1.17.0 GPT2/model.onnx -e cpu -P Model: GPT-2 - Device: CPU - Executor: Parallel 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/onnx-1.17.0 yolov4/yolov4.onnx -e cpu -P Model: yolov4 - Device: CPU - Executor: Parallel pts/graphics-magick-2.2.0 -operator all Noise-Gaussian 30% Operation: Noise-Gaussian pts/gpaw-1.2.0 carbon-nanotube Input: Carbon Nanotube pts/graphics-magick-2.2.0 -sharpen 0x2.0 Operation: Sharpen pts/build-linux-kernel-1.16.0 defconfig Build: defconfig pts/graphics-magick-2.2.0 -enhance Operation: Enhanced pts/onnx-1.17.0 super_resolution/super_resolution.onnx -e cpu -P Model: super-resolution-10 - Device: CPU - Executor: Parallel pts/graphics-magick-2.2.0 -swirl 90 Operation: Swirl pts/rocksdb-1.6.0 --benchmarks="readrandom" Test: Random Read pts/minibude-1.0.0 --deck ../data/bm2 --iterations 10 Implementation: OpenMP - Input Deck: BM2 pts/coremark-1.0.1 CoreMark Size 666 - Iterations Per Second 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/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/aircrack-ng-1.3.0 pts/webp-1.2.0 -q 100 -lossless -m 6 Encode Settings: Quality 100, Lossless, Highest Compression pts/avifenc-1.4.1 -s 2 Encoder Speed: 2 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/llamafile-1.1.0 run-llava --gpu DISABLE Test: llava-v1.5-7b-q4 - Acceleration: CPU pts/lulesh-1.1.1 pts/compress-7zip-1.10.0 Test: Decompression Rating pts/compress-7zip-1.10.0 Test: Compression Rating pts/amg-1.1.0 pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 512 Threads: 1 - Buffer Length: 256 - Filter Length: 512 pts/npb-1.4.5 ep.D Test / Class: EP.D pts/astcenc-1.5.1 -verythorough -repeats 10 Preset: Very Thorough pts/tensorflow-2.2.0 --device cpu --batch_size=256 --model=alexnet Device: CPU - Batch Size: 256 - Model: AlexNet pts/minife-1.0.0 -‐nx 264 --ny 256 -‐nz 256 Problem Size: Small pts/openradioss-1.1.1 Cell_Phone_Drop_0000.rad Cell_Phone_Drop_0001.rad Model: Cell Phone Drop Test 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/primesieve-1.10.0 1e13 Length: 1e13 pts/gromacs-1.9.0 mpi-build water-cut1.0_GMX50_bare/1536 Implementation: MPI CPU - Input: water_GMX50_bare pts/astcenc-1.5.1 -exhaustive -repeats 6 Preset: Exhaustive pts/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset medium Video Input: Bosphorus 4K - Video Preset: Medium pts/john-the-ripper-1.8.0 --format=wpapsk Test: WPA PSK pts/tensorflow-2.2.0 --device cpu --batch_size=1 --model=googlenet Device: CPU - Batch Size: 1 - Model: GoogLeNet pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 57 Threads: 1 - Buffer Length: 256 - Filter Length: 57 pts/quantlib-1.2.0 Configuration: Single-Threaded pts/liquid-dsp-1.6.0 -n 64 -b 256 -f 512 Threads: 64 - Buffer Length: 256 - Filter Length: 512 pts/svt-av1-2.12.0 --preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 13 - Input: Bosphorus 4K pts/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset slow Video Input: Bosphorus 4K - Video Preset: Slow pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 32 Threads: 1 - Buffer Length: 256 - Filter Length: 32 pts/tensorflow-2.2.0 --device cpu --batch_size=64 --model=googlenet Device: CPU - Batch Size: 64 - Model: GoogLeNet 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 128 -b 256 -f 512 Threads: 128 - Buffer Length: 256 - Filter Length: 512 pts/liquid-dsp-1.6.0 -n 256 -b 256 -f 512 Threads: 256 - Buffer Length: 256 - Filter Length: 512 pts/john-the-ripper-1.8.0 --format=bcrypt Test: bcrypt pts/liquid-dsp-1.6.0 -n 128 -b 256 -f 57 Threads: 128 - Buffer Length: 256 - Filter Length: 57 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/embree-1.6.1 pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon Obj pts/john-the-ripper-1.8.0 --format=bcrypt Test: Blowfish 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 32 Threads: 256 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 128 -b 256 -f 32 Threads: 128 - Buffer Length: 256 - Filter Length: 32 pts/synthmark-1.0.1 -tv -p100 -s30 Test: VoiceMark_100 pts/liquid-dsp-1.6.0 -n 64 -b 256 -f 32 Threads: 64 - Buffer Length: 256 - Filter Length: 32 pts/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset veryfast Video Input: Bosphorus 4K - Video Preset: Very Fast 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/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/appleseed-1.0.1 disney_material_1.appleseed Scene: Disney Material pts/tensorflow-2.2.0 --device cpu --batch_size=64 --model=alexnet Device: CPU - Batch Size: 64 - Model: AlexNet pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset medium Video Input: Bosphorus 4K - Video Preset: Medium pts/pennant-1.1.0 sedovbig/sedovbig.pnt Test: sedovbig pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset slow Video Input: Bosphorus 4K - Video Preset: Slow 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/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset veryfast Video Input: Bosphorus 4K - Video Preset: Very Fast 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 S Input: drivaerFastback, Small Mesh Size - Mesh Time pts/svt-av1-2.12.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/oidn-2.2.0 -r RTLightmap.hdr.4096x4096 -d cpu Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only 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/minibude-1.0.0 --deck ../data/bm1 --iterations 500 Implementation: OpenMP - Input Deck: BM1 pts/x265-1.4.0 Bosphorus_3840x2160.y4m Video Input: Bosphorus 4K pts/build-ffmpeg-7.0.0 Time To Compile pts/pennant-1.1.0 leblancbig/leblancbig.pnt Test: leblancbig pts/tensorflow-2.2.0 --device cpu --batch_size=1 --model=alexnet Device: CPU - Batch Size: 1 - Model: AlexNet pts/npb-1.4.5 sp.C Test / Class: SP.C pts/pybench-1.1.3 Total For Average Test Times pts/npb-1.4.5 lu.C Test / Class: LU.C pts/astcenc-1.5.1 -thorough -repeats 20 Preset: Thorough pts/npb-1.4.5 is.D Test / Class: IS.D pts/build-mesa-1.1.0 Time To Compile pts/incompact3d-2.0.2 input_193_nodes.i3d Input: input.i3d 193 Cells Per Direction pts/y-cruncher-1.4.0 1b Pi Digits To Calculate: 1B pts/build-imagemagick-1.7.2 Time To Compile pts/m-queens-1.1.0 Time To Solve 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 RT.hdr_alb_nrm.3840x2160 -d cpu Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only pts/npb-1.4.5 cg.C Test / Class: CG.C system/octave-benchmark-1.0.1 pts/y-cruncher-1.4.0 500m Pi Digits To Calculate: 500M pts/embree-1.6.1 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon pts/webp-1.2.0 -q 100 -m 6 Encode Settings: Quality 100, Highest Compression pts/embree-1.6.1 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/astcenc-1.5.1 -medium -repeats 40 Preset: Medium pts/svt-av1-2.12.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/avifenc-1.4.1 -s 6 -l Encoder Speed: 6, Lossless pts/mt-dgemm-1.2.0 Sustained Floating-Point Rate pts/avifenc-1.4.1 -s 10 -l Encoder Speed: 10, Lossless pts/npb-1.4.5 mg.C Test / Class: MG.C 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/lammps-1.4.0 in.rhodo Model: Rhodopsin Protein pts/avifenc-1.4.1 -s 6 Encoder Speed: 6 pts/primesieve-1.10.0 1e12 Length: 1e12 pts/compress-pbzip2-1.6.1 FreeBSD-13.0-RELEASE-amd64-memstick.img Compression pts/onednn-3.4.0 --deconv --batch=inputs/deconv/shapes_3d --engine=cpu Harness: Deconvolution Batch shapes_3d - Engine: CPU