AMD Ryzen 9 7950X 16-Core testing with a ASUS ProArt X670E-CREATOR WIFI (1004 BIOS) and NVIDIA GeForce RTX 4090 24GB on Ubuntu 22.04 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 2304087-NE-NGPUTEST677
ngpu.test
AMD Ryzen 9 7950X 16-Core testing with a ASUS ProArt X670E-CREATOR WIFI (1004 BIOS) and NVIDIA GeForce RTX 4090 24GB on Ubuntu 22.04 via the Phoronix Test Suite.
pts_nvidia-gpu-compute:
Processor: AMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ProArt X670E-CREATOR WIFI (1004 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 32 GB DDR5-5600MT/s Kingston KF556C40-32, Disk: 2000GB Samsung SSD 980 PRO 2TB, Graphics: NVIDIA GeForce RTX 4090 24GB, Audio: NVIDIA Device 22ba, Monitor: LG Ultra HD, Network: Intel I225-V + MEDIATEK Device 0616
OS: Ubuntu 22.04, Kernel: 5.19.0-38-generic (x86_64), Desktop: KDE Plasma 5.24.7, Display Server: X Server 1.21.1.3, Display Driver: NVIDIA 525.105.17, OpenGL: 4.6.0, OpenCL: OpenCL 3.0 CUDA 12.0.151, Vulkan: 1.3.224, Compiler: GCC 11.3.0, File-System: xfs, Screen Resolution: 3840x2160
NeatBench 5
Acceleration: GPU
FPS > Higher Is Better
pts_nvidia-gpu-compute . 4090 |================================================
MandelGPU 1.3pts1
OpenCL Device: GPU
Samples/sec > Higher Is Better
pts_nvidia-gpu-compute . 907383065.7 |=========================================
IndigoBench 4.4
Acceleration: OpenCL GPU - Scene: Supercar
M samples/s > Higher Is Better
pts_nvidia-gpu-compute . 80.07 |===============================================
IndigoBench 4.4
Acceleration: OpenCL GPU - Scene: Bedroom
M samples/s > Higher Is Better
pts_nvidia-gpu-compute . 35.66 |===============================================
Blender 3.5
Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX
Seconds < Lower Is Better
pts_nvidia-gpu-compute . 8.12 |================================================
Blender 3.5
Blend File: Barbershop - Compute: NVIDIA OptiX
Seconds < Lower Is Better
pts_nvidia-gpu-compute . 29.75 |===============================================
Blender 3.5
Blend File: Fishy Cat - Compute: NVIDIA OptiX
Seconds < Lower Is Better
pts_nvidia-gpu-compute . 5.38 |================================================
Blender 3.5
Blend File: Classroom - Compute: NVIDIA OptiX
Seconds < Lower Is Better
pts_nvidia-gpu-compute . 7.07 |================================================
NCNN 20220729
Target: Vulkan GPU - Model: FastestDet
ms < Lower Is Better
pts_nvidia-gpu-compute . 1.99 |================================================
NCNN 20220729
Target: Vulkan GPU - Model: vision_transformer
ms < Lower Is Better
pts_nvidia-gpu-compute . 135.14 |==============================================
NCNN 20220729
Target: Vulkan GPU - Model: regnety_400m
ms < Lower Is Better
pts_nvidia-gpu-compute . 1.36 |================================================
NCNN 20220729
Target: Vulkan GPU - Model: squeezenet_ssd
ms < Lower Is Better
pts_nvidia-gpu-compute . 3.43 |================================================
NCNN 20220729
Target: Vulkan GPU - Model: yolov4-tiny
ms < Lower Is Better
pts_nvidia-gpu-compute . 5.15 |================================================
NCNN 20220729
Target: Vulkan GPU - Model: resnet50
ms < Lower Is Better
pts_nvidia-gpu-compute . 2.07 |================================================
NCNN 20220729
Target: Vulkan GPU - Model: vgg16
ms < Lower Is Better
pts_nvidia-gpu-compute . 1.99 |================================================
NCNN 20220729
Target: Vulkan GPU - Model: mnasnet
ms < Lower Is Better
pts_nvidia-gpu-compute . 0.99 |================================================
NCNN 20220729
Target: Vulkan GPU - Model: shufflenet-v2
ms < Lower Is Better
pts_nvidia-gpu-compute . 1.28 |================================================
NCNN 20220729
Target: Vulkan GPU - Model: mobilenet
ms < Lower Is Better
pts_nvidia-gpu-compute . 2.68 |================================================
ViennaCL 1.7.1
Test: OpenCL BLAS - dGEMM-TT
GFLOPs/s > Higher Is Better
pts_nvidia-gpu-compute . 1357 |================================================
ViennaCL 1.7.1
Test: OpenCL BLAS - dGEMM-TN
GFLOPs/s > Higher Is Better
pts_nvidia-gpu-compute . 1310 |================================================
ViennaCL 1.7.1
Test: OpenCL BLAS - dGEMM-NT
GFLOPs/s > Higher Is Better
pts_nvidia-gpu-compute . 1290 |================================================
ViennaCL 1.7.1
Test: OpenCL BLAS - dGEMM-NN
GFLOPs/s > Higher Is Better
pts_nvidia-gpu-compute . 1167 |================================================
ViennaCL 1.7.1
Test: OpenCL BLAS - dGEMV-T
GB/s > Higher Is Better
pts_nvidia-gpu-compute . 446 |=================================================
ViennaCL 1.7.1
Test: OpenCL BLAS - dGEMV-N
GB/s > Higher Is Better
pts_nvidia-gpu-compute . 221 |=================================================
ViennaCL 1.7.1
Test: OpenCL BLAS - dDOT
GB/s > Higher Is Better
pts_nvidia-gpu-compute . 730 |=================================================
ViennaCL 1.7.1
Test: OpenCL BLAS - dAXPY
GB/s > Higher Is Better
pts_nvidia-gpu-compute . 773 |=================================================
ViennaCL 1.7.1
Test: OpenCL BLAS - dCOPY
GB/s > Higher Is Better
pts_nvidia-gpu-compute . 661 |=================================================
ViennaCL 1.7.1
Test: OpenCL BLAS - sDOT
GB/s > Higher Is Better
pts_nvidia-gpu-compute . 451 |=================================================
ViennaCL 1.7.1
Test: OpenCL BLAS - sAXPY
GB/s > Higher Is Better
pts_nvidia-gpu-compute . 618 |=================================================
ViennaCL 1.7.1
Test: OpenCL BLAS - sCOPY
GB/s > Higher Is Better
pts_nvidia-gpu-compute . 480 |=================================================
ViennaCL 1.7.1
Test: CPU BLAS - dGEMM-TT
GFLOPs/s > Higher Is Better
pts_nvidia-gpu-compute . 111 |=================================================
ViennaCL 1.7.1
Test: CPU BLAS - dGEMM-TN
GFLOPs/s > Higher Is Better
pts_nvidia-gpu-compute . 117 |=================================================
ViennaCL 1.7.1
Test: CPU BLAS - dGEMM-NT
GFLOPs/s > Higher Is Better
pts_nvidia-gpu-compute . 106 |=================================================
ViennaCL 1.7.1
Test: CPU BLAS - dGEMM-NN
GFLOPs/s > Higher Is Better
pts_nvidia-gpu-compute . 110 |=================================================
ViennaCL 1.7.1
Test: CPU BLAS - dGEMV-T
GB/s > Higher Is Better
pts_nvidia-gpu-compute . 127 |=================================================
ViennaCL 1.7.1
Test: CPU BLAS - dGEMV-N
GB/s > Higher Is Better
pts_nvidia-gpu-compute . 101.8 |===============================================
ViennaCL 1.7.1
Test: CPU BLAS - dDOT
GB/s > Higher Is Better
pts_nvidia-gpu-compute . 93.4 |================================================
ViennaCL 1.7.1
Test: CPU BLAS - dAXPY
GB/s > Higher Is Better
pts_nvidia-gpu-compute . 88.3 |================================================
ViennaCL 1.7.1
Test: CPU BLAS - dCOPY
GB/s > Higher Is Better
pts_nvidia-gpu-compute . 58.7 |================================================
ViennaCL 1.7.1
Test: CPU BLAS - sDOT
GB/s > Higher Is Better
pts_nvidia-gpu-compute . 300 |=================================================
ViennaCL 1.7.1
Test: CPU BLAS - sCOPY
GB/s > Higher Is Better
pts_nvidia-gpu-compute . 208 |=================================================
FinanceBench 2016-07-25
Benchmark: Black-Scholes OpenCL
ms < Lower Is Better
pts_nvidia-gpu-compute . 2.934 |===============================================
LuxCoreRender 2.6
Scene: Rainbow Colors and Prism - Acceleration: GPU
M samples/sec > Higher Is Better
pts_nvidia-gpu-compute . 40.94 |===============================================
LuxCoreRender 2.6
Scene: LuxCore Benchmark - Acceleration: GPU
M samples/sec > Higher Is Better
pts_nvidia-gpu-compute . 19.26 |===============================================
LuxCoreRender 2.6
Scene: Orange Juice - Acceleration: GPU
M samples/sec > Higher Is Better
pts_nvidia-gpu-compute . 17.64 |===============================================
LuxCoreRender 2.6
Scene: Danish Mood - Acceleration: GPU
M samples/sec > Higher Is Better
pts_nvidia-gpu-compute . 18.84 |===============================================
LuxCoreRender 2.6
Scene: DLSC - Acceleration: GPU
M samples/sec > Higher Is Better
pts_nvidia-gpu-compute . 22.43 |===============================================
ArrayFire 3.7
Test: Conjugate Gradient OpenCL
ms < Lower Is Better
pts_nvidia-gpu-compute . 0.8731 |==============================================
Rodinia 3.1
Test: OpenCL Particle Filter
Seconds < Lower Is Better
pts_nvidia-gpu-compute . 2.095 |===============================================
LeelaChessZero 0.28
Backend: OpenCL
Nodes Per Second > Higher Is Better
pts_nvidia-gpu-compute . 46246 |===============================================
clpeak 1.1.2
OpenCL Test: Global Memory Bandwidth
GBPS > Higher Is Better
pts_nvidia-gpu-compute . 870.86 |==============================================
clpeak 1.1.2
OpenCL Test: Double-Precision Double
GFLOPS > Higher Is Better
pts_nvidia-gpu-compute . 1413.35 |=============================================
clpeak 1.1.2
OpenCL Test: Single-Precision Float
GFLOPS > Higher Is Better
pts_nvidia-gpu-compute . 78857.40 |============================================
clpeak 1.1.2
OpenCL Test: Integer Compute INT
GIOPS > Higher Is Better
pts_nvidia-gpu-compute . 40863.0 |=============================================
FAHBench 2.3.2
Ns Per Day > Higher Is Better
pts_nvidia-gpu-compute . 440.50 |==============================================
OctaneBench 2020.1
Total Score
Score > Higher Is Better
pts_nvidia-gpu-compute . 1330.49 |=============================================
VkResample 1.0
Upscale: 2x - Precision: Single
ms < Lower Is Better
pts_nvidia-gpu-compute . 7.784 |===============================================
VkResample 1.0
Upscale: 2x - Precision: Double
ms < Lower Is Better
pts_nvidia-gpu-compute . 55.39 |===============================================
NAMD CUDA 2.14
ATPase Simulation - 327,506 Atoms
days/ns < Lower Is Better
pts_nvidia-gpu-compute . 0.06968 |=============================================
cl-mem 2017-01-13
Benchmark: Write
GB/s > Higher Is Better
pts_nvidia-gpu-compute . 799.4 |===============================================
cl-mem 2017-01-13
Benchmark: Read
GB/s > Higher Is Better
pts_nvidia-gpu-compute . 885.5 |===============================================
cl-mem 2017-01-13
Benchmark: Copy
GB/s > Higher Is Better
pts_nvidia-gpu-compute . 411.6 |===============================================
SHOC Scalable HeterOgeneous Computing 2020-04-17
Target: OpenCL - Benchmark: Texture Read Bandwidth
GB/s > Higher Is Better
pts_nvidia-gpu-compute . 3032.40 |=============================================
SHOC Scalable HeterOgeneous Computing 2020-04-17
Target: OpenCL - Benchmark: Bus Speed Readback
GB/s > Higher Is Better
pts_nvidia-gpu-compute . 26.40 |===============================================
SHOC Scalable HeterOgeneous Computing 2020-04-17
Target: OpenCL - Benchmark: Bus Speed Download
GB/s > Higher Is Better
pts_nvidia-gpu-compute . 26.89 |===============================================
SHOC Scalable HeterOgeneous Computing 2020-04-17
Target: OpenCL - Benchmark: Max SP Flops
GFLOPS > Higher Is Better
pts_nvidia-gpu-compute . 90084.7 |=============================================
SHOC Scalable HeterOgeneous Computing 2020-04-17
Target: OpenCL - Benchmark: GEMM SGEMM_N
GFLOPS > Higher Is Better
pts_nvidia-gpu-compute . 28105.9 |=============================================
SHOC Scalable HeterOgeneous Computing 2020-04-17
Target: OpenCL - Benchmark: Reduction
GB/s > Higher Is Better
pts_nvidia-gpu-compute . 992.53 |==============================================
SHOC Scalable HeterOgeneous Computing 2020-04-17
Target: OpenCL - Benchmark: MD5 Hash
GHash/s > Higher Is Better
pts_nvidia-gpu-compute . 93.47 |===============================================
SHOC Scalable HeterOgeneous Computing 2020-04-17
Target: OpenCL - Benchmark: FFT SP
GFLOPS > Higher Is Better
pts_nvidia-gpu-compute . 2778.27 |=============================================
SHOC Scalable HeterOgeneous Computing 2020-04-17
Target: OpenCL - Benchmark: Triad
GB/s > Higher Is Better
pts_nvidia-gpu-compute . 26.39 |===============================================
SHOC Scalable HeterOgeneous Computing 2020-04-17
Target: OpenCL - Benchmark: S3D
GFLOPS > Higher Is Better
pts_nvidia-gpu-compute . 646.63 |==============================================
Hashcat 6.2.4
Benchmark: TrueCrypt RIPEMD160 + XTS
H/s > Higher Is Better
pts_nvidia-gpu-compute . 1867900 |=============================================
Hashcat 6.2.4
Benchmark: SHA-512
H/s > Higher Is Better
pts_nvidia-gpu-compute . 6389066667 |==========================================
Hashcat 6.2.4
Benchmark: 7-Zip
H/s > Higher Is Better
pts_nvidia-gpu-compute . 2741600 |=============================================
Hashcat 6.2.4
Benchmark: SHA1
H/s > Higher Is Better
pts_nvidia-gpu-compute . 49962233333 |=========================================
Hashcat 6.2.4
Benchmark: MD5
H/s > Higher Is Better
pts_nvidia-gpu-compute . 156200000000 |========================================
VkFFT 1.1.1
Benchmark Score > Higher Is Better
pts_nvidia-gpu-compute . 63576 |===============================================
Waifu2x-NCNN Vulkan 20200818
Scale: 2x - Denoise: 3 - TAA: Yes
Seconds < Lower Is Better
pts_nvidia-gpu-compute . 2.468 |===============================================
RealSR-NCNN 20200818
Scale: 4x - TAA: Yes
Seconds < Lower Is Better
pts_nvidia-gpu-compute . 19.12 |===============================================
RealSR-NCNN 20200818
Scale: 4x - TAA: No
Seconds < Lower Is Better
pts_nvidia-gpu-compute . 4.211 |===============================================
vkpeak 20210424
int16-vec4
GIOPS > Higher Is Better
pts_nvidia-gpu-compute . 39957.84 |============================================
vkpeak 20210424
int16-scalar
GIOPS > Higher Is Better
pts_nvidia-gpu-compute . 29976.88 |============================================
vkpeak 20210424
int32-vec4
GIOPS > Higher Is Better
pts_nvidia-gpu-compute . 44803.57 |============================================
vkpeak 20210424
int32-scalar
GIOPS > Higher Is Better
pts_nvidia-gpu-compute . 45045.95 |============================================
vkpeak 20210424
fp64-vec4
GFLOPS > Higher Is Better
pts_nvidia-gpu-compute . 1419.84 |=============================================
vkpeak 20210424
fp64-scalar
GFLOPS > Higher Is Better
pts_nvidia-gpu-compute . 1419.89 |=============================================
vkpeak 20210424
fp16-vec4
GFLOPS > Higher Is Better
pts_nvidia-gpu-compute . 89348.10 |============================================
vkpeak 20210424
fp16-scalar
GFLOPS > Higher Is Better
pts_nvidia-gpu-compute . 45059.05 |============================================
vkpeak 20210424
fp32-vec4
GFLOPS > Higher Is Better
pts_nvidia-gpu-compute . 59636.96 |============================================
vkpeak 20210424
fp32-scalar
GFLOPS > Higher Is Better
pts_nvidia-gpu-compute . 45133.99 |============================================
Blender 3.5
Blend File: BMW27 - Compute: NVIDIA OptiX
Seconds < Lower Is Better
pts_nvidia-gpu-compute . 13.27 |===============================================
PlaidML
FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL
Examples Per Second > Higher Is Better
PlaidML
FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL
Examples Per Second > Higher Is Better
PlaidML
FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL
Examples Per Second > Higher Is Better
PlaidML
FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL
Examples Per Second > Higher Is Better
PlaidML
FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL
Examples Per Second > Higher Is Better
NCNN 20220729
Target: Vulkan GPU - Model: alexnet
ms < Lower Is Better
pts_nvidia-gpu-compute . 1.99 |================================================
NCNN 20220729
Target: Vulkan GPU - Model: resnet18
ms < Lower Is Better
pts_nvidia-gpu-compute . 1.47 |================================================
NCNN 20220729
Target: Vulkan GPU - Model: googlenet
ms < Lower Is Better
pts_nvidia-gpu-compute . 2.30 |================================================
NCNN 20220729
Target: Vulkan GPU - Model: blazeface
ms < Lower Is Better
pts_nvidia-gpu-compute . 0.84 |================================================
NCNN 20220729
Target: Vulkan GPU - Model: efficientnet-b0
ms < Lower Is Better
pts_nvidia-gpu-compute . 2.27 |================================================
NCNN 20220729
Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
pts_nvidia-gpu-compute . 1.53 |================================================
NCNN 20220729
Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
pts_nvidia-gpu-compute . 1.11 |================================================
Caffe 2020-02-13
Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000
Milli-Seconds < Lower Is Better
Caffe 2020-02-13
Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200
Milli-Seconds < Lower Is Better
Caffe 2020-02-13
Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100
Milli-Seconds < Lower Is Better
Caffe 2020-02-13
Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000
Milli-Seconds < Lower Is Better
Caffe 2020-02-13
Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200
Milli-Seconds < Lower Is Better
Caffe 2020-02-13
Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100
Milli-Seconds < Lower Is Better
GROMACS 2023
Implementation: NVIDIA CUDA GPU - Input: water_GMX50_bare
Ns Per Day > Higher Is Better
ViennaCL 1.7.1
Test: CPU BLAS - sAXPY
GB/s > Higher Is Better
pts_nvidia-gpu-compute . 305 |=================================================
RedShift Demo 3.0
Seconds < Lower Is Better
Betsy GPU Compressor 1.1 Beta
Codec: ETC2 RGB - Quality: Highest
Seconds < Lower Is Better
Betsy GPU Compressor 1.1 Beta
Codec: ETC1 - Quality: Highest
Seconds < Lower Is Better
Libplacebo 5.229.1
FPS > Higher Is Better
Mixbench 2020-06-23
Backend: NVIDIA CUDA - Benchmark: Single Precision
Mixbench 2020-06-23
Backend: NVIDIA CUDA - Benchmark: Double Precision
Mixbench 2020-06-23
Backend: NVIDIA CUDA - Benchmark: Half Precision
Mixbench 2020-06-23
Backend: OpenCL - Benchmark: Single Precision
Mixbench 2020-06-23
Backend: OpenCL - Benchmark: Double Precision
Mixbench 2020-06-23
Backend: NVIDIA CUDA - Benchmark: Integer
Mixbench 2020-06-23
Backend: OpenCL - Benchmark: Integer
Waifu2x-NCNN Vulkan 20200818
Scale: 2x - Denoise: 3 - TAA: No
Seconds < Lower Is Better