Micro Computer (HK) Tech Limited Venus series
Geekbench ML Score
3869
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 07:35 AM |
| 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 | Balanced |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2185
408.9 IPS |
|
|
Image Classification (F16)
|
100% |
1546
289.4 IPS |
|
|
Image Classification (I8)
|
99% |
5277
987.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1159
19.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1157
19.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2621
43.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
7672
9.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
7684
9.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
26342
31.9 IPS |
|
|
Object Detection (F32)
|
100% |
2128
158.8 IPS |
|
|
Object Detection (F16)
|
100% |
2172
162.2 IPS |
|
|
Object Detection (I8)
|
62% |
2182
162.9 IPS |
|
|
Face Detection (F32)
|
100% |
3668
43.6 IPS |
|
|
Face Detection (F16)
|
100% |
3409
40.5 IPS |
|
|
Face Detection (I8)
|
89% |
5290
62.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
8546
66.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8612
66.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
17242
133.7 IPS |
|
|
Style Transfer (F32)
|
100% |
15188
20.0 IPS |
|
|
Style Transfer (F16)
|
100% |
17585
23.1 IPS |
|
|
Style Transfer (I8)
|
98% |
26948
35.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2892
103.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2561
91.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3874
138.4 IPS |
|
|
Text Classification (F32)
|
100% |
2077
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
2046
2.94 KIPS |
|
|
Text Classification (I8)
|
98% |
404
579.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2220
40.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2289
42.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2868
52.8 IPS |
