Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
4285
Single Precision Score
1922
Half Precision Score
7498
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 30 2025 10:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3677
683.8 IPS |
|
|
Image Classification (HP)
|
100% |
696
129.5 IPS |
|
|
Image Classification (Q)
|
99% |
8850
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
935
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4023
65.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8007
9.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
6324
7.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
26974
31.6 IPS |
|
|
Object Detection (SP)
|
100% |
3476
275.8 IPS |
|
|
Object Detection (HP)
|
100% |
915
72.6 IPS |
|
|
Object Detection (Q)
|
86% |
8424
677.0 IPS |
|
|
Face Detection (SP)
|
100% |
6431
76.4 IPS |
|
|
Face Detection (HP)
|
100% |
1915
22.8 IPS |
|
|
Face Detection (Q)
|
97% |
11734
139.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9949
76.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2942
22.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
7623
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18530
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15841
20.4 IPS |
|
|
Style Transfer (Q)
|
98% |
28475
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2762
102.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2716
100.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3716
137.6 IPS |
|
|
Text Classification (SP)
|
100% |
2037
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
880
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1837
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2645
45.6 IPS |
|
|
Machine Translation (HP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3995
80.3 IPS |
