Micro Computer (HK) Tech Limited Venus series
Geekbench ML Score
3426
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2024 05:34 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited Venus series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BSC |
| Power Plan | Balanserat |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1739
325.5 IPS |
|
|
Image Classification (F16)
|
100% |
1828
342.0 IPS |
|
|
Image Classification (I8)
|
99% |
4296
804.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1023
17.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
998
16.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2145
35.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6722
8.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
6703
8.12 IPS |
|
|
Pose Estimation (I8)
|
100% |
22870
27.7 IPS |
|
|
Object Detection (F32)
|
100% |
1855
138.5 IPS |
|
|
Object Detection (F16)
|
100% |
1857
138.6 IPS |
|
|
Object Detection (I8)
|
62% |
1814
135.4 IPS |
|
|
Face Detection (F32)
|
100% |
3305
39.3 IPS |
|
|
Face Detection (F16)
|
100% |
3253
38.7 IPS |
|
|
Face Detection (I8)
|
89% |
4829
57.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
7473
58.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
7505
58.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
15136
117.4 IPS |
|
|
Style Transfer (F32)
|
100% |
15143
19.9 IPS |
|
|
Style Transfer (F16)
|
100% |
15885
20.9 IPS |
|
|
Style Transfer (I8)
|
98% |
24288
31.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2748
98.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2486
88.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3519
125.7 IPS |
|
|
Text Classification (F32)
|
100% |
1726
2.48 KIPS |
|
|
Text Classification (F16)
|
100% |
1703
2.45 KIPS |
|
|
Text Classification (I8)
|
98% |
320
459.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2025
37.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2030
37.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2414
44.4 IPS |
