xeon-platinum-8380-2p-smoke-run Suite
1.0.0
System
Test suite extracted from xeon-platinum-8380-2p-smoke-run .
pts/hammerdb-mariadb-1.0.0
128 250
Virtual Users: 128 - Warehouses: 250
pts/hammerdb-mariadb-1.0.0
128 500
Virtual Users: 128 - Warehouses: 500
pts/hammerdb-mariadb-1.0.0
64 250
Virtual Users: 64 - Warehouses: 250
pts/hammerdb-mariadb-1.0.0
32 250
Virtual Users: 32 - Warehouses: 250
pts/hammerdb-mariadb-1.0.0
16 500
Virtual Users: 16 - Warehouses: 500
pts/hammerdb-mariadb-1.0.0
32 500
Virtual Users: 32 - Warehouses: 500
pts/mysqlslap-1.1.1
--concurrency=256
Clients: 256
pts/mysqlslap-1.1.1
--concurrency=512
Clients: 512
pts/mysqlslap-1.1.1
--concurrency=128
Clients: 128
pts/hammerdb-mariadb-1.0.0
64 500
Virtual Users: 64 - Warehouses: 500
pts/incompact3d-2.0.2
input.i3d
Input: X3D-benchmarking input.i3d
system/gnuradio-1.0.0
Test: Hilbert Transform
system/gnuradio-1.0.0
Test: FM Deemphasis Filter
system/gnuradio-1.0.0
Test: IIR Filter
system/gnuradio-1.0.0
Test: FIR Filter
system/gnuradio-1.0.0
Test: Signal Source (Cosine)
system/gnuradio-1.0.0
Test: Five Back to Back FIR Filters
pts/mysqlslap-1.1.1
--concurrency=64
Clients: 64
pts/aom-av1-2.3.0
--cpu-used=4 Bosphorus_3840x2160.y4m
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
pts/cp2k-1.2.0
-i benchmarks/Fayalite-FIST/fayalite.inp
Input: Fayalite-FIST
pts/hammerdb-mariadb-1.0.0
16 250
Virtual Users: 16 - Warehouses: 250
pts/luaradio-1.0.0
Test: Complex Phase
pts/luaradio-1.0.0
Test: Hilbert Transform
pts/luaradio-1.0.0
Test: FM Deemphasis Filter
pts/luaradio-1.0.0
Test: Five Back to Back FIR Filters
pts/hammerdb-mariadb-1.0.0
8 250
Virtual Users: 8 - Warehouses: 250
pts/hammerdb-mariadb-1.0.0
8 500
Virtual Users: 8 - Warehouses: 500
pts/aom-av1-2.3.0
--cpu-used=6 Bosphorus_3840x2160.y4m
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
pts/mnn-1.2.0
Model: inception-v3
pts/mnn-1.2.0
Model: mobilenet-v1-1.0
pts/mnn-1.2.0
Model: MobileNetV2_224
pts/mnn-1.2.0
Model: resnet-v2-50
pts/mnn-1.2.0
Model: SqueezeNetV1.0
pts/mysqlslap-1.1.1
--concurrency=1
Clients: 1
pts/securemark-1.0.0
Benchmark: SecureMark-TLS
pts/aom-av1-2.3.0
--cpu-used=0 --limit=20 Bosphorus_3840x2160.y4m
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K
pts/mysqlslap-1.1.1
--concurrency=32
Clients: 32
pts/build-llvm-1.3.1
Build System: Unix Makefiles
pts/aom-av1-2.3.0
--cpu-used=4 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
pts/luxcorerender-1.3.0
OrangeJuice/LuxCoreScene/render.cfg -D renderengine.type PATHCPU
Scene: Orange Juice - Acceleration: CPU
pts/mysqlslap-1.1.1
--concurrency=16
Clients: 16
pts/build-erlang-1.1.0
Time To Compile
pts/luxcorerender-1.3.0
DLSC/LuxCoreScene/render.cfg -D renderengine.type PATHCPU
Scene: DLSC - Acceleration: CPU
pts/intel-mlc-1.0.0
-X --max_bandwidth
Test: Max Bandwidth - Stream-Triad Like
pts/intel-mlc-1.0.0
-X --max_bandwidth
Test: Max Bandwidth - 1:1 Reads-Writes
pts/intel-mlc-1.0.0
-X --max_bandwidth
Test: Max Bandwidth - 2:1 Reads-Writes
pts/intel-mlc-1.0.0
-X --max_bandwidth
Test: Max Bandwidth - 3:1 Reads-Writes
pts/intel-mlc-1.0.0
-X --max_bandwidth
Test: Max Bandwidth - All Reads
pts/mysqlslap-1.1.1
--concurrency=8
Clients: 8
pts/build-llvm-1.3.1
Ninja
Build System: Ninja
pts/aom-av1-2.3.0
--cpu-used=6 --rt Bosphorus_3840x2160.y4m
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
pts/onednn-1.7.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
pts/mysqlslap-1.1.1
--concurrency=4
Clients: 4
pts/aom-av1-2.3.0
--cpu-used=8 --rt Bosphorus_3840x2160.y4m
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
pts/gmpbench-1.3.0
Total Time
pts/blender-1.9.0
-b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: Barbershop - Compute: CPU-Only
pts/build-nodejs-1.0.0
Time To Compile
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dGEMM-TT
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dGEMM-TN
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dGEMM-NT
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dGEMM-NN
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dGEMV-T
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dGEMV-N
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dDOT
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dAXPY
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - dCOPY
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - sDOT
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - sAXPY
pts/viennacl-1.1.0
dense_blas-bench-cpu
Test: CPU BLAS - sCOPY
pts/xmrig-1.0.0
--bench=1M
Variant: Monero - Hash Count: 1M
pts/aom-av1-2.3.0
--cpu-used=6 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p
pts/build-linux-kernel-1.11.0
Time To Compile
pts/sysbench-1.1.0
cpu run
Test: CPU
pts/blender-1.9.0
-b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: Pabellon Barcelona - Compute: CPU-Only
pts/build-wasmer-1.0.0
Time To Compile
pts/onednn-1.7.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
pts/onednn-1.7.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.7.0
--ip --batch=inputs/ip/shapes_1d --cfg=u8s8f32 --engine=cpu
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.7.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
pts/onednn-1.7.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.7.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
pts/aom-av1-2.3.0
--cpu-used=9 --rt Bosphorus_3840x2160.y4m
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
pts/blender-1.9.0
-b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: Classroom - Compute: CPU-Only
pts/toktx-1.0.0
--uastc 4 --zcmp 19
Settings: UASTC 4 + Zstd Compression 19
pts/onednn-1.7.0
--deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
pts/luxcorerender-1.3.0
DanishMood/LuxCoreScene/render.cfg -D renderengine.type PATHCPU
Scene: Danish Mood - Acceleration: CPU
pts/luxcorerender-1.3.0
LuxCore2.1Benchmark/LuxCoreScene/render.cfg -D renderengine.type PATHCPU
Scene: LuxCore Benchmark - Acceleration: CPU
pts/avifenc-1.1.1
-s 0
Encoder Speed: 0
pts/aom-av1-2.3.0
--cpu-used=0 --limit=20 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p
pts/luxcorerender-1.3.0
RainbowColorsAndPrism/LuxCoreScene/render.cfg -D renderengine.type PATHCPU
Scene: Rainbow Colors and Prism - Acceleration: CPU
pts/aom-av1-2.3.0
--cpu-used=6 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p
pts/blender-1.9.0
-b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: Fishy Cat - Compute: CPU-Only
pts/onednn-1.7.0
--ip --batch=inputs/ip/shapes_1d --cfg=bf16bf16bf16 --engine=cpu
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
pts/vosk-1.0.1
pts/stockfish-1.3.0
Total Time
pts/avifenc-1.1.1
-s 6 -l
Encoder Speed: 6, Lossless
pts/srslte-1.0.1
lib/test/phy/phy_dl_test -p 100 -s 20000 -m 28
Test: PHY_DL_Test
pts/avifenc-1.1.1
-s 6
Encoder Speed: 6
pts/srslte-1.0.1
lib/src/phy/dft/test/ofdm_test -N 2048 -n 100 -r 500000
Test: OFDM_Test
pts/sysbench-1.1.0
memory run
Test: RAM / Memory
pts/avifenc-1.1.1
-s 2
Encoder Speed: 2
pts/botan-1.6.0
AES-256
Test: AES-256 - Decrypt
pts/botan-1.6.0
AES-256
Test: AES-256
pts/basis-1.1.0
Settings: ETC1S
pts/basis-1.1.0
-uastc -uastc_level 0
Settings: UASTC Level 0
pts/avifenc-1.1.1
-s 10 -l
Encoder Speed: 10, Lossless
pts/aom-av1-2.3.0
--cpu-used=9 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p
pts/blender-1.9.0
-b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: BMW27 - Compute: CPU-Only
pts/botan-1.6.0
ChaCha20Poly1305
Test: ChaCha20Poly1305 - Decrypt
pts/botan-1.6.0
ChaCha20Poly1305
Test: ChaCha20Poly1305
pts/botan-1.6.0
Blowfish
Test: Blowfish - Decrypt
pts/botan-1.6.0
Blowfish
Test: Blowfish
pts/botan-1.6.0
Twofish
Test: Twofish - Decrypt
pts/botan-1.6.0
Twofish
Test: Twofish
pts/botan-1.6.0
CAST-256
Test: CAST-256 - Decrypt
pts/botan-1.6.0
CAST-256
Test: CAST-256
pts/botan-1.6.0
KASUMI
Test: KASUMI - Decrypt
pts/botan-1.6.0
KASUMI
Test: KASUMI
pts/toybrot-1.2.0
raymarched/TBB/rmTBB
Implementation: TBB
pts/xmrig-1.0.0
-a rx/wow --bench=1M
Variant: Wownero - Hash Count: 1M
pts/intel-mlc-1.0.0
-X --peak_injection_bandwidth
Test: Peak Injection Bandwidth - Stream-Triad Like
pts/intel-mlc-1.0.0
-X --peak_injection_bandwidth
Test: Peak Injection Bandwidth - 1:1 Reads-Writes
pts/intel-mlc-1.0.0
-X --peak_injection_bandwidth
Test: Peak Injection Bandwidth - 2:1 Reads-Writes
pts/intel-mlc-1.0.0
-X --peak_injection_bandwidth
Test: Peak Injection Bandwidth - 3:1 Reads-Writes
pts/intel-mlc-1.0.0
-X --peak_injection_bandwidth
Test: Peak Injection Bandwidth - All Reads
pts/onednn-1.7.0
--deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.7.0
--matmul --batch=inputs/matmul/shapes_transformer --cfg=u8s8f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
pts/helsing-1.0.0
10000000000000 99999999999999
Digit Range: 14 digit
pts/tjbench-1.2.0
decompression-throughput
Test: Decompression Throughput
pts/astcenc-1.1.0
-thorough
Preset: Thorough
pts/astcenc-1.1.0
-exhaustive
Preset: Exhaustive
pts/avifenc-1.1.1
-s 10
Encoder Speed: 10
pts/astcenc-1.1.0
-medium
Preset: Medium
pts/build-mesa-1.0.0
Time To Compile
pts/onednn-1.7.0
--deconv --batch=inputs/deconv/shapes_1d --cfg=bf16bf16bf16 --engine=cpu
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.7.0
--ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
pts/svt-hevc-1.2.0
-encMode 1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: 1 - Input: Bosphorus 1080p
pts/aom-av1-2.3.0
--cpu-used=8 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p
pts/liquid-dsp-1.0.0
-n 160 -b 256 -f 57
Threads: 160 - Buffer Length: 256 - Filter Length: 57
pts/liquid-dsp-1.0.0
-n 128 -b 256 -f 57
Threads: 128 - Buffer Length: 256 - Filter Length: 57
pts/liquid-dsp-1.0.0
-n 64 -b 256 -f 57
Threads: 64 - Buffer Length: 256 - Filter Length: 57
pts/liquid-dsp-1.0.0
-n 32 -b 256 -f 57
Threads: 32 - Buffer Length: 256 - Filter Length: 57
pts/liquid-dsp-1.0.0
-n 16 -b 256 -f 57
Threads: 16 - Buffer Length: 256 - Filter Length: 57
pts/liquid-dsp-1.0.0
-n 8 -b 256 -f 57
Threads: 8 - Buffer Length: 256 - Filter Length: 57
pts/liquid-dsp-1.0.0
-n 4 -b 256 -f 57
Threads: 4 - Buffer Length: 256 - Filter Length: 57
pts/liquid-dsp-1.0.0
-n 2 -b 256 -f 57
Threads: 2 - Buffer Length: 256 - Filter Length: 57
pts/liquid-dsp-1.0.0
-n 1 -b 256 -f 57
Threads: 1 - Buffer Length: 256 - Filter Length: 57
pts/toktx-1.0.0
--zcmp 19
Settings: Zstd Compression 19
pts/basis-1.1.0
-uastc -uastc_level 3
Settings: UASTC Level 3
pts/onednn-1.7.0
--matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
pts/svt-vp9-1.3.0
-tune 2 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: VMAF Optimized - Input: Bosphorus 1080p
pts/toktx-1.0.0
--uastc 3
Settings: UASTC 3
pts/onednn-1.7.0
--ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
pts/intel-mlc-1.0.0
--idle_latency
Test: Idle Latency
pts/onednn-1.7.0
--ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
pts/basis-1.1.0
-uastc -uastc_level 2
Settings: UASTC Level 2
pts/incompact3d-2.0.2
input_193_nodes.i3d
Input: input.i3d 193 Cells Per Direction
pts/toktx-1.0.0
--uastc 3 --zcmp 19
Settings: UASTC 3 + Zstd Compression 19
pts/onednn-1.7.0
--deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.7.0
--matmul --batch=inputs/matmul/shapes_transformer --cfg=bf16bf16bf16 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
pts/incompact3d-2.0.2
input_129_nodes.i3d
Input: input.i3d 129 Cells Per Direction
pts/toktx-1.0.0
--zcmp 9
Settings: Zstd Compression 9
pts/onednn-1.7.0
--deconv --batch=inputs/deconv/shapes_3d --cfg=bf16bf16bf16 --engine=cpu
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.7.0
--deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
pts/toybrot-1.2.0
raymarched/STDTASKS/rmSTD_TASKS
Implementation: C++ Tasks
pts/draco-1.0.0
-i church.ply
Model: Church Facade
pts/onednn-1.7.0
--ip --batch=inputs/ip/shapes_3d --cfg=bf16bf16bf16 --engine=cpu
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
pts/draco-1.0.0
-i lion.ply
Model: Lion
pts/toybrot-1.2.0
raymarched/OMP/rmOpenMP
Implementation: OpenMP
pts/toybrot-1.2.0
raymarched/STDTHREADS/rmSTD_THREADS
Implementation: C++ Threads
pts/svt-vp9-1.3.0
-tune 0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
pts/svt-vp9-1.3.0
-tune 1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
pts/onednn-1.7.0
--conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
pts/onednn-1.7.0
--conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.7.0
--conv --batch=inputs/conv/shapes_auto --cfg=bf16bf16bf16 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
pts/svt-hevc-1.2.0
-encMode 10 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: 10 - Input: Bosphorus 1080p
pts/svt-hevc-1.2.0
-encMode 7 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: 7 - Input: Bosphorus 1080p