docker testing on Ubuntu 20.04.6 LTS 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 2402013-NE-RESTXT64559
res.txt
docker testing on Ubuntu 20.04.6 LTS via the Phoronix Test Suite.
,,"llvmpipe - Intel Core i7-12700H","NVIDIA GeForce RTX 3050 Ti Laptop GPU"
Processor,,Intel Core i7-12700H @ 4.60GHz (14 Cores / 20 Threads),Intel Core i7-12700H @ 4.60GHz (14 Cores / 20 Threads)
Motherboard,,NB02 PHxARX1_PHxAQF1 (N.1.04A03 BIOS),NB02 PHxARX1_PHxAQF1 (N.1.04A03 BIOS)
Memory,,64GB,64GB
Disk,,2000GB Samsung SSD 980 PRO 2TB,2000GB Samsung SSD 980 PRO 2TB
Graphics,,llvmpipe,NVIDIA GeForce RTX 3050 Ti Laptop GPU 4GB
Audio,,Realtek ALC256,Realtek ALC256
Monitor,,U28E590,U28E590
OS,,Ubuntu 20.04.6 LTS,Ubuntu 20.04.6 LTS
Kernel,,6.5.0-15-generic (x86_64),6.5.0-15-generic (x86_64)
Desktop,,MATE,MATE
Display Server,,X Server 1.21.1.7,X Server 1.21.1.7
Display Driver,,NVIDIA,NVIDIA
OpenGL,,4.5 Mesa 21.2.6 (LLVM 12.0.0 256 bits),
Vulkan,,1.2.182,1.2.182
Compiler,,GCC 9.4.0 + CUDA 12.0,GCC 9.4.0 + CUDA 12.0
File-System,,ext4,ext4
Screen Resolution,,3840x2160,3840x2160
System Layer,,docker,docker
,,"llvmpipe - Intel Core i7-12700H","NVIDIA GeForce RTX 3050 Ti Laptop GPU"
"Betsy GPU Compressor - Codec: ETC1 - Quality: Highest (sec)",LIB,,197.655
"Betsy GPU Compressor - Codec: ETC2 RGB - Quality: Highest (sec)",LIB,,197.168
"PlaidML - FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL (Examples/sec)",HIB,,
"PlaidML - FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL (Examples/sec)",HIB,,
"PlaidML - FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL (Examples/sec)",HIB,,
"PlaidML - FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL (Examples/sec)",HIB,,
"PlaidML - FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL (Examples/sec)",HIB,,
"LeelaChessZero - Backend: OpenCL (Nodes/s)",HIB,,
"Caffe - Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100 (ms)",LIB,,
"Caffe - Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200 (ms)",LIB,,
"Caffe - Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000 (ms)",LIB,,
"Caffe - Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100 (ms)",LIB,,
"Caffe - Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200 (ms)",LIB,,
"Caffe - Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000 (ms)",LIB,,
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: S3D ()",HIB,,
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Triad ()",HIB,,
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: FFT SP ()",HIB,,
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: MD5 Hash ()",HIB,,
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Reduction ()",HIB,,
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: GEMM SGEMM_N ()",HIB,,
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Max SP Flops ()",HIB,,
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Bus Speed Download ()",HIB,,
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Bus Speed Readback ()",HIB,,
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Texture Read Bandwidth ()",HIB,,
"NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,,24.89
"NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,,7.99
"NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,,6.98
"NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,,7.02
"NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,,7.36
"NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,,13.15
"NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,,2.23
"NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,,21.35
"NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,,70.68
"NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,,15.02
"NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,,11.18
"NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,,36.44
"NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,,39.81
"NCNN - Target: Vulkan GPU - Model: squeezenet_ssd (ms)",LIB,,18.44
"NCNN - Target: Vulkan GPU - Model: regnety_400m (ms)",LIB,,19.70
"NCNN - Target: Vulkan GPU - Model: vision_transformer (ms)",LIB,,268.29
"NCNN - Target: Vulkan GPU - Model: FastestDet (ms)",LIB,,8.89
"Rodinia - Test: OpenCL Particle Filter (sec)",LIB,,
"ArrayFire - Test: Conjugate Gradient OpenCL ()",LIB,,
"Blender - Blend File: BMW27 - Compute: NVIDIA OptiX (sec)",LIB,,
"Blender - Blend File: Classroom - Compute: NVIDIA OptiX (sec)",LIB,,
"Blender - Blend File: Fishy Cat - Compute: NVIDIA OptiX (sec)",LIB,,
"Blender - Blend File: Barbershop - Compute: NVIDIA OptiX (sec)",LIB,,
"Blender - Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX (sec)",LIB,,
"NeatBench - Acceleration: GPU (FPS)",HIB,,3050
"IndigoBench - Acceleration: OpenCL GPU - Scene: Bedroom (M samples/s)",HIB,,
"IndigoBench - Acceleration: OpenCL GPU - Scene: Supercar (M samples/s)",HIB,,
"LuxCoreRender - Scene: DLSC - Acceleration: GPU (M samples/sec)",HIB,,3.11
"LuxCoreRender - Scene: Danish Mood - Acceleration: GPU (M samples/sec)",HIB,,0.81
"LuxCoreRender - Scene: Orange Juice - Acceleration: GPU (M samples/sec)",HIB,,3.39
"LuxCoreRender - Scene: LuxCore Benchmark - Acceleration: GPU (M samples/sec)",HIB,,1.35
"LuxCoreRender - Scene: Rainbow Colors and Prism - Acceleration: GPU (M samples/sec)",HIB,,8.62
"FAHBench - (Ns/Day)",HIB,,
"Hashcat - Benchmark: MD5 (H/s)",HIB,,12631000000
"Hashcat - Benchmark: SHA1 (H/s)",HIB,,4214633333
"Hashcat - Benchmark: 7-Zip (H/s)",HIB,,184500
"Hashcat - Benchmark: SHA-512 (H/s)",HIB,,601566667
"Hashcat - Benchmark: TrueCrypt RIPEMD160 + XTS (H/s)",HIB,,154433
"Mixbench - Backend: OpenCL - Benchmark: Integer ()",HIB,,
"Mixbench - Backend: NVIDIA CUDA - Benchmark: Integer (GIOPS)",HIB,,3852.66
"Mixbench - Backend: OpenCL - Benchmark: Double Precision ()",HIB,,
"Mixbench - Backend: OpenCL - Benchmark: Single Precision ()",HIB,,
"Mixbench - Backend: NVIDIA CUDA - Benchmark: Half Precision (GFLOPS)",HIB,,8650.27
"Mixbench - Backend: NVIDIA CUDA - Benchmark: Double Precision (GFLOPS)",HIB,,116.51
"Mixbench - Backend: NVIDIA CUDA - Benchmark: Single Precision (GFLOPS)",HIB,,8315.17
"NAMD CUDA - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,,0.32841
"OctaneBench - Total Score (Score)",HIB,,
"RedShift Demo - (sec)",LIB,,
"FinanceBench - Benchmark: Black-Scholes OpenCL (ms)",LIB,,
"cl-mem - Benchmark: Copy ()",HIB,,
"cl-mem - Benchmark: Read ()",HIB,,
"cl-mem - Benchmark: Write ()",HIB,,
"clpeak - OpenCL Test: Integer Compute INT ()",HIB,,
"clpeak - OpenCL Test: Single-Precision Float ()",HIB,,
"clpeak - OpenCL Test: Double-Precision Double ()",HIB,,
"clpeak - OpenCL Test: Global Memory Bandwidth ()",HIB,,
"MandelGPU - OpenCL Device: GPU (Samples/sec)",HIB,,
"ViennaCL - Test: CPU BLAS - sCOPY (GB/s)",HIB,,38.6
"ViennaCL - Test: CPU BLAS - sAXPY (GB/s)",HIB,,43.9
"ViennaCL - Test: CPU BLAS - sDOT (GB/s)",HIB,,45.5
"ViennaCL - Test: CPU BLAS - dCOPY (GB/s)",HIB,,32.9
"ViennaCL - Test: CPU BLAS - dAXPY (GB/s)",HIB,,40.6
"ViennaCL - Test: CPU BLAS - dDOT (GB/s)",HIB,,42.1
"ViennaCL - Test: CPU BLAS - dGEMV-N (GB/s)",HIB,,32.6
"ViennaCL - Test: CPU BLAS - dGEMV-T (GB/s)",HIB,,36.1
"ViennaCL - Test: CPU BLAS - dGEMM-NN (GFLOPs/s)",HIB,,14.8
"ViennaCL - Test: CPU BLAS - dGEMM-NT (GFLOPs/s)",HIB,,16.0
"ViennaCL - Test: CPU BLAS - dGEMM-TN (GFLOPs/s)",HIB,,16.6
"ViennaCL - Test: CPU BLAS - dGEMM-TT (GFLOPs/s)",HIB,,16.9
"ViennaCL - Test: OpenCL BLAS (GFLOPS)",HIB,,
"Libplacebo - (FPS)",HIB,,
"RealSR-NCNN - Scale: 4x - TAA: No (sec)",LIB,,98.217
"RealSR-NCNN - Scale: 4x - TAA: Yes (sec)",LIB,,675.851
"VkFFT - Test: FFT + iFFT R2C / C2R (Benchmark Score)",HIB,,
"VkFFT - Test: FFT + iFFT C2C 1D batched in half precision (Benchmark Score)",HIB,,
"VkFFT - Test: FFT + iFFT C2C Bluestein in single precision (Benchmark Score)",HIB,,
"VkFFT - Test: FFT + iFFT C2C 1D batched in double precision (Benchmark Score)",HIB,,
"VkFFT - Test: FFT + iFFT C2C 1D batched in single precision (Benchmark Score)",HIB,,
"VkFFT - Test: FFT + iFFT C2C multidimensional in single precision (Benchmark Score)",HIB,,
"VkFFT - Test: FFT + iFFT C2C Bluestein benchmark in double precision (Benchmark Score)",HIB,,
"VkFFT - Test: FFT + iFFT C2C 1D batched in single precision, no reshuffling (Benchmark Score)",HIB,,
"vkpeak - fp32-scalar (GFLOPS)",HIB,,878.31
"vkpeak - fp32-vec4 (GFLOPS)",HIB,,1366.62
"vkpeak - fp16-scalar (GFLOPS)",HIB,,2030.24
"vkpeak - fp16-vec4 (GFLOPS)",HIB,,2828.13
"vkpeak - int32-scalar (GIOPS)",HIB,,403.31
"vkpeak - int32-vec4 (GIOPS)",HIB,,428.32
"vkpeak - int16-scalar (GIOPS)",HIB,,789.83
"vkpeak - int16-vec4 (GIOPS)",HIB,,864.22
"VkResample - Upscale: 2x - Precision: Double (ms)",LIB,,
"VkResample - Upscale: 2x - Precision: Single (ms)",LIB,,100.011
"Waifu2x-NCNN Vulkan - Scale: 2x - Denoise: 3 - TAA: No (sec)",LIB,,5.048
"Waifu2x-NCNN Vulkan - Scale: 2x - Denoise: 3 - TAA: Yes (sec)",LIB,,32.439