Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
3879
Single Precision Score
1676
Half Precision Score
7184
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cesarantunes |
| Upload Date | April 18 2025 01:29 PM |
| Views | 3 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3616
672.4 IPS |
|
|
Image Classification (HP)
|
100% |
601
111.7 IPS |
|
|
Image Classification (Q)
|
99% |
8406
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1132
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3785
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6302
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
5082
5.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
23773
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
3027
240.1 IPS |
|
|
Object Detection (HP)
|
100% |
783
62.1 IPS |
|
|
Object Detection (Q)
|
86% |
8223
660.9 IPS |
|
|
Face Detection (SP)
|
100% |
6242
74.2 IPS |
|
|
Face Detection (HP)
|
100% |
1703
20.2 IPS |
|
|
Face Detection (Q)
|
97% |
11385
135.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8570
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2597
20.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7145
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15822
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12869
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28686
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2533
93.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2429
89.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3553
131.6 IPS |
|
|
Text Classification (SP)
|
100% |
1986
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
825
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1923
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2325
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
797
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3694
74.2 IPS |
