EPYC Tyan Server Suite
1.0.0
System
Test suite extracted from EPYC Tyan Server.
pts/minife-1.0.0
-‐nx 264 --ny 256 -‐nz 256
Problem Size: Small
pts/ospray-1.0.3
sanm/sanm.obj -vp 22.958788 3.204613 2.712676 -vu 0.000000 1.000000 0.000000 -vi 12.364944 0.176316 4.009342 -sg:sun:intensity=4.0 -sg:sun:direction=0,-1,0 -sg:bounce:intensity=0.0 --hdri-light rnl_probe.pfm -sg:hdri:intensity=1.25 --renderer pathtracer
Demo: San Miguel - Renderer: Path Tracer
pts/ospray-1.0.3
NASA-B-field-sun.osx --renderer pathtracer
Demo: NASA Streamlines - Renderer: Path Tracer
pts/ospray-1.0.3
magnetic-512-volume/magnetic-512-volume.osp --renderer pathtracer
Demo: Magnetic Reconnection - Renderer: Path Tracer
pts/plaidml-1.0.4
--no-fp16 --no-train vgg16 CPU
FP16: No - Mode: Inference - Network: VGG16 - Device: CPU
pts/plaidml-1.0.4
--no-fp16 --no-train vgg19 CPU
FP16: No - Mode: Inference - Network: VGG19 - Device: CPU
pts/plaidml-1.0.4
--no-fp16 --no-train resnet50 CPU
FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU
pts/embree-1.2.1
pathtracer_ispc -c crown/crown.ecs
Binary: Pathtracer ISPC - Model: Crown
pts/embree-1.2.1
pathtracer_ispc -c asian_dragon/asian_dragon.ecs
Binary: Pathtracer ISPC - Model: Asian Dragon
pts/svt-av1-2.3.0
--preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Encoder Mode: Preset 4 - Input: Bosphorus 4K
pts/svt-av1-2.3.0
--preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Encoder Mode: Preset 8 - Input: Bosphorus 4K
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/svt-hevc-1.2.0
-encMode 7 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: 7 - Input: Bosphorus 1080p
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-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/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/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/vpxenc-3.1.0
--cpu-used=0 ~/Bosphorus_3840x2160.y4m --width=3840 --height=2160
Speed: Speed 0 - Input: Bosphorus 4K
pts/vpxenc-3.1.0
--cpu-used=5 ~/Bosphorus_3840x2160.y4m --width=3840 --height=2160
Speed: Speed 5 - Input: Bosphorus 4K
pts/hpcg-1.2.1
pts/xmrig-1.0.0
--bench=1M
Variant: Monero - Hash Count: 1M
pts/xmrig-1.0.0
-a rx/wow --bench=1M
Variant: Wownero - Hash Count: 1M
pts/oidn-1.4.0
-r RT.hdr_alb_nrm.3840x2160
Run: RT.hdr_alb_nrm.3840x2160
pts/oidn-1.4.0
-r RT.ldr_alb_nrm.3840x2160
Run: RT.ldr_alb_nrm.3840x2160
pts/oidn-1.4.0
-r RTLightmap.hdr.4096x4096
Run: RTLightmap.hdr.4096x4096
pts/onnx-1.0.1
yolov4/yolov4.onnx -e cpu
Model: yolov4 - Device: OpenMP CPU
pts/onnx-1.0.1
download_sample_10/bertsquad10.onnx -e cpu
Model: bertsquad-10 - Device: OpenMP CPU
pts/onnx-1.0.1
fcn-resnet101-11/model.onnx -e cpu
Model: fcn-resnet101-11 - Device: OpenMP CPU
pts/onnx-1.0.1
model/test_shufflenetv2/model.onnx -e cpu
Model: shufflenet-v2-10 - Device: OpenMP CPU
pts/onnx-1.0.1
super_resolution/super_resolution.onnx -e cpu
Model: super-resolution-10 - Device: OpenMP CPU
pts/openvkl-1.0.0
vklBenchmark
Benchmark: vklBenchmark
pts/luxcorerender-1.3.0
DLSC/LuxCoreScene/render.cfg -D renderengine.type PATHCPU
Scene: DLSC - Acceleration: CPU
pts/luxcorerender-1.3.0
DanishMood/LuxCoreScene/render.cfg -D renderengine.type PATHCPU
Scene: Danish Mood - Acceleration: CPU
pts/luxcorerender-1.3.0
OrangeJuice/LuxCoreScene/render.cfg -D renderengine.type PATHCPU
Scene: Orange Juice - Acceleration: CPU
pts/luxcorerender-1.3.0
LuxCore2.1Benchmark/LuxCoreScene/render.cfg -D renderengine.type PATHCPU
Scene: LuxCore Benchmark - Acceleration: CPU
pts/luxcorerender-1.3.0
RainbowColorsAndPrism/LuxCoreScene/render.cfg -D renderengine.type PATHCPU
Scene: Rainbow Colors and Prism - Acceleration: CPU
pts/gromacs-1.6.0
mpi-build water-cut1.0_GMX50_bare/1536
Implementation: MPI CPU - Input: water_GMX50_bare
pts/kripke-1.1.0
pts/npb-1.4.4
bt.C
Test / Class: BT.C
pts/npb-1.4.4
cg.C
Test / Class: CG.C
pts/npb-1.4.4
ep.D
Test / Class: EP.D
pts/npb-1.4.4
ft.C
Test / Class: FT.C
pts/npb-1.4.4
is.D
Test / Class: IS.D
pts/npb-1.4.4
sp.C
Test / Class: SP.C
pts/brl-cad-1.2.0
VGR Performance Metric
pts/namd-1.2.1
ATPase Simulation - 327,506 Atoms
pts/tensorflow-lite-1.0.0
--graph=squeezenet.tflite
Model: SqueezeNet
pts/tensorflow-lite-1.0.0
--graph=inception_v4.tflite
Model: Inception V4
pts/tensorflow-lite-1.0.0
--graph=mobilenet_v1_1.0_224.tflite
Model: Mobilenet Float
pts/tensorflow-lite-1.0.0
--graph=mobilenet_v1_1.0_224_quant.tflite
Model: Mobilenet Quant
pts/tensorflow-lite-1.0.0
--graph=inception_resnet_v2.tflite
Model: Inception ResNet V2
pts/mnn-1.3.0
Model: mobilenetV3
pts/mnn-1.3.0
Model: squeezenetv1.1
pts/mnn-1.3.0
Model: resnet-v2-50
pts/mnn-1.3.0
Model: SqueezeNetV1.0
pts/mnn-1.3.0
Model: MobileNetV2_224
pts/mnn-1.3.0
Model: mobilenet-v1-1.0
pts/mnn-1.3.0
Model: inception-v3
pts/tnn-1.1.0
-dt NAIVE -mp ../benchmark/benchmark-model/densenet.tnnproto
Target: CPU - Model: DenseNet
pts/tnn-1.1.0
-dt NAIVE -mp ../benchmark/benchmark-model/mobilenet_v2.tnnproto
Target: CPU - Model: MobileNet v2
pts/tnn-1.1.0
-dt NAIVE -mp ../benchmark/benchmark-model/shufflenet_v2.tnnproto
Target: CPU - Model: SqueezeNet v2
pts/tnn-1.1.0
-dt NAIVE -mp ../benchmark/benchmark-model/squeezenet_v1.1.tnnproto
Target: CPU - Model: SqueezeNet v1.1
pts/incompact3d-2.0.2
input_193_nodes.i3d
Input: input.i3d 193 Cells Per Direction
pts/avifenc-1.1.1
-s 10
Encoder Speed: 10
pts/avifenc-1.1.1
-s 6 -l
Encoder Speed: 6, Lossless
pts/avifenc-1.1.1
-s 10 -l
Encoder Speed: 10, Lossless
pts/build-godot-1.0.0
Time To Compile
pts/build-linux-kernel-1.11.0
Time To Compile
pts/build-llvm-1.3.1
Ninja
Build System: Ninja
pts/build-llvm-1.3.1
Build System: Unix Makefiles
pts/build-nodejs-1.0.0
Time To Compile
pts/build-wasmer-1.0.0
Time To Compile
pts/astcenc-1.2.0
-exhaustive
Preset: Exhaustive
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/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/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/numenta-nab-1.1.0
-d windowedGaussian
Detector: Windowed Gaussian