hp dev one mnn ncnn

AMD Ryzen 7 PRO 5850U testing with a HP 8A78 (F.04 BIOS) and AMD Cezanne 512MB 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 2208132-PTS-HPDEVONE31
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:

HPC - High Performance Computing 2 Tests
Machine Learning 2 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
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
A
August 13 2022
  5 Hours, 54 Minutes
B
August 13 2022
  5 Hours, 51 Minutes
C
August 13 2022
  5 Hours, 52 Minutes
Invert Hiding All Results Option
  5 Hours, 52 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):

hp dev one mnn ncnn AMD Ryzen 7 PRO 5850U testing with a HP 8A78 (F.04 BIOS) and AMD Cezanne 512MB on Ubuntu 22.04 via the Phoronix Test Suite. A: Processor: AMD Ryzen 7 PRO 5850U @ 1.90GHz (8 Cores / 16 Threads), Motherboard: HP 8A78 (F.04 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 1024GB SK hynix PC711 HFS001TDE9X073N, Graphics: AMD Cezanne 512MB (2000/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8822CE 802.11ac PCIe OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.5 (LLVM 13.0.1 DRM 3.47), Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 B: Processor: AMD Ryzen 7 PRO 5850U @ 1.90GHz (8 Cores / 16 Threads), Motherboard: HP 8A78 (F.04 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 1024GB SK hynix PC711 HFS001TDE9X073N, Graphics: AMD Cezanne 512MB (2000/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8822CE 802.11ac PCIe OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.5 (LLVM 13.0.1 DRM 3.47), Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 C: Processor: AMD Ryzen 7 PRO 5850U @ 1.90GHz (8 Cores / 16 Threads), Motherboard: HP 8A78 (F.04 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 1024GB SK hynix PC711 HFS001TDE9X073N, Graphics: AMD Cezanne 512MB (2000/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8822CE 802.11ac PCIe OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.5 (LLVM 13.0.1 DRM 3.47), Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 Mobile Neural Network 2.0 Model: mobilenetV3 ms < Lower Is Better A . 1.540 |=================================================================== B . 1.555 |==================================================================== C . 1.546 |==================================================================== Mobile Neural Network 2.0 Model: squeezenetv1.1 ms < Lower Is Better A . 3.110 |=================================================================== B . 3.140 |==================================================================== C . 3.113 |=================================================================== Mobile Neural Network 2.0 Model: resnet-v2-50 ms < Lower Is Better A . 26.19 |==================================================================== B . 26.24 |==================================================================== C . 26.31 |==================================================================== Mobile Neural Network 2.0 Model: SqueezeNetV1.0 ms < Lower Is Better A . 6.071 |==================================================================== B . 6.115 |==================================================================== C . 6.095 |==================================================================== Mobile Neural Network 2.0 Model: MobileNetV2_224 ms < Lower Is Better A . 3.030 |=================================================================== B . 3.057 |==================================================================== C . 3.009 |=================================================================== Mobile Neural Network 2.0 Model: mobilenet-v1-1.0 ms < Lower Is Better A . 2.916 |==================================================================== B . 2.931 |==================================================================== C . 2.918 |==================================================================== Mobile Neural Network 2.0 Model: inception-v3 ms < Lower Is Better A . 35.85 |==================================================================== B . 36.01 |==================================================================== C . 36.06 |==================================================================== NCNN 20220729 Target: CPU - Model: mobilenet ms < Lower Is Better A . 15.76 |==================================================================== B . 15.83 |==================================================================== C . 15.30 |================================================================== NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better A . 4.11 |================================================================== B . 4.16 |=================================================================== C . 4.29 |===================================================================== NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better A . 3.32 |=================================================================== B . 3.30 |=================================================================== C . 3.41 |===================================================================== NCNN 20220729 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better A . 2.65 |=================================================================== B . 2.73 |===================================================================== C . 2.64 |=================================================================== NCNN 20220729 Target: CPU - Model: mnasnet ms < Lower Is Better A . 3.25 |================================================================ B . 3.30 |================================================================= C . 3.49 |===================================================================== NCNN 20220729 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better A . 6.52 |==================================================================== B . 6.56 |==================================================================== C . 6.63 |===================================================================== NCNN 20220729 Target: CPU - Model: blazeface ms < Lower Is Better A . 0.91 |================================================================= B . 0.91 |================================================================= C . 0.96 |===================================================================== NCNN 20220729 Target: CPU - Model: googlenet ms < Lower Is Better A . 12.77 |=================================================================== B . 12.69 |=================================================================== C . 12.94 |==================================================================== NCNN 20220729 Target: CPU - Model: vgg16 ms < Lower Is Better A . 61.29 |==================================================================== B . 61.56 |==================================================================== C . 61.42 |==================================================================== NCNN 20220729 Target: CPU - Model: resnet18 ms < Lower Is Better A . 11.63 |==================================================================== B . 11.36 |================================================================== C . 11.64 |==================================================================== NCNN 20220729 Target: CPU - Model: alexnet ms < Lower Is Better A . 9.80 |===================================================================== B . 9.78 |==================================================================== C . 9.87 |===================================================================== NCNN 20220729 Target: CPU - Model: resnet50 ms < Lower Is Better A . 22.25 |=================================================================== B . 22.23 |=================================================================== C . 22.49 |==================================================================== NCNN 20220729 Target: CPU - Model: yolov4-tiny ms < Lower Is Better A . 25.73 |==================================================================== B . 25.50 |=================================================================== C . 25.41 |=================================================================== NCNN 20220729 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better A . 18.50 |==================================================================== B . 18.40 |==================================================================== C . 18.37 |==================================================================== NCNN 20220729 Target: CPU - Model: regnety_400m ms < Lower Is Better A . 8.29 |===================================================================== B . 8.32 |===================================================================== C . 8.31 |===================================================================== NCNN 20220729 Target: CPU - Model: vision_transformer ms < Lower Is Better A . 230.00 |=================================================================== B . 231.45 |=================================================================== C . 231.24 |=================================================================== NCNN 20220729 Target: CPU - Model: FastestDet ms < Lower Is Better A . 3.26 |===================================================================== B . 3.21 |==================================================================== C . 3.27 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better A . 11.09 |==================================================================== B . 10.88 |=================================================================== C . 10.99 |=================================================================== NCNN 20220729 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better A . 3.56 |===================================================================== B . 3.44 |=================================================================== C . 3.53 |==================================================================== NCNN 20220729 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better A . 3.80 |===================================================================== B . 3.77 |==================================================================== C . 3.78 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better A . 2.63 |==================================================================== B . 2.65 |===================================================================== C . 2.62 |==================================================================== NCNN 20220729 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better A . 3.45 |=================================================================== B . 3.48 |==================================================================== C . 3.54 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better A . 10.30 |=================================================================== B . 10.23 |=================================================================== C . 10.39 |==================================================================== NCNN 20220729 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better A . 1.82 |=================================================================== B . 1.88 |===================================================================== C . 1.87 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better A . 8.20 |=============================================================== B . 8.58 |================================================================== C . 8.94 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better A . 27.07 |==================================================================== B . 27.11 |==================================================================== C . 27.23 |==================================================================== NCNN 20220729 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better A . 5.95 |===================================================================== B . 5.62 |================================================================= C . 5.92 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better A . 6.72 |=================================================================== B . 6.82 |==================================================================== C . 6.88 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better A . 13.00 |================================================================== B . 12.74 |================================================================= C . 13.31 |==================================================================== NCNN 20220729 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better A . 18.84 |=================================================================== B . 19.16 |==================================================================== C . 18.93 |=================================================================== NCNN 20220729 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better A . 15.72 |==================================================================== B . 15.68 |==================================================================== C . 15.73 |==================================================================== NCNN 20220729 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better A . 5.05 |===================================================================== B . 4.87 |=================================================================== C . 5.03 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: vision_transformer ms < Lower Is Better A . 588.87 |=================================================================== B . 589.03 |=================================================================== C . 592.19 |=================================================================== NCNN 20220729 Target: Vulkan GPU - Model: FastestDet ms < Lower Is Better A . 4.01 |=================================================================== B . 4.14 |===================================================================== C . 3.95 |==================================================================