Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
3805
Single Precision Score
1583
Half Precision Score
6926
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 05:53 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% |
3542
658.6 IPS |
|
|
Image Classification (HP)
|
100% |
644
119.8 IPS |
|
|
Image Classification (Q)
|
99% |
8694
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
853
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3855
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6886
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
5622
6.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
25120
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
3362
266.7 IPS |
|
|
Object Detection (HP)
|
100% |
829
65.7 IPS |
|
|
Object Detection (Q)
|
86% |
8388
674.1 IPS |
|
|
Face Detection (SP)
|
100% |
6058
72.0 IPS |
|
|
Face Detection (HP)
|
100% |
1713
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
11485
136.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10021
77.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2774
21.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7738
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10994
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10227
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23525
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1885
69.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1697
62.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3392
125.6 IPS |
|
|
Text Classification (SP)
|
100% |
2055
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
815
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1956
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2051
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
575
9.91 IPS |
|
|
Machine Translation (Q)
|
65% |
2593
52.1 IPS |
