Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
8474
Single Precision Score
12875
Half Precision Score
6240
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 10:38 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3327
618.8 IPS |
|
|
Image Classification (HP)
|
100% |
5145
956.7 IPS |
|
|
Image Classification (Q)
|
100% |
3018
561.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4076
66.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5072
82.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3326
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
42668
49.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
80185
93.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
30458
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
2865
227.2 IPS |
|
|
Object Detection (HP)
|
100% |
4261
338.0 IPS |
|
|
Object Detection (Q)
|
87% |
2666
214.1 IPS |
|
|
Face Detection (SP)
|
100% |
6220
73.9 IPS |
|
|
Face Detection (HP)
|
100% |
11858
140.9 IPS |
|
|
Face Detection (Q)
|
97% |
4959
59.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18207
140.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
30211
232.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
14368
115.2 IPS |
|
|
Style Transfer (SP)
|
100% |
75802
97.4 IPS |
|
|
Style Transfer (HP)
|
100% |
125737
161.6 IPS |
|
|
Style Transfer (Q)
|
98% |
49297
63.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14996
553.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24674
911.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9562
354.1 IPS |
|
|
Text Classification (SP)
|
100% |
2499
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3229
4.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1785
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3583
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3913
67.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1833
34.4 IPS |
