Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
3237
Single Precision Score
1454
Half Precision Score
6761
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 10 2025 08:43 PM |
| Views | 5 |
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 | Bilanciato |
| 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% |
3795
705.7 IPS |
|
|
Image Classification (HP)
|
100% |
712
132.4 IPS |
|
|
Image Classification (Q)
|
99% |
8607
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1678
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
932
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10327
167.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4592
5.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
3748
4.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
15544
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2193
174.0 IPS |
|
|
Object Detection (HP)
|
100% |
620
49.2 IPS |
|
|
Object Detection (Q)
|
86% |
6066
487.5 IPS |
|
|
Face Detection (SP)
|
100% |
5062
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
1362
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
9100
108.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5898
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2009
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
6549
52.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10883
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9623
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21376
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1863
68.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1826
67.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4663
172.7 IPS |
|
|
Text Classification (SP)
|
100% |
1703
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
715
954.4 IPS |
|
|
Text Classification (Q)
|
97% |
1498
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1916
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
801
13.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2680
53.9 IPS |
