Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
2991
Single Precision Score
829
Half Precision Score
4385
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | tuldok89 |
| Upload Date | August 16 2024 12:22 PM |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1730
321.7 IPS |
|
|
Image Classification (HP)
|
100% |
163
30.4 IPS |
|
|
Image Classification (Q)
|
99% |
4792
893.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
252
4.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
2468
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5162
6.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
4330
5.05 IPS |
|
|
Pose Estimation (Q)
|
95% |
23519
27.6 IPS |
|
|
Object Detection (SP)
|
100% |
1963
155.7 IPS |
|
|
Object Detection (HP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (Q)
|
88% |
1977
158.5 IPS |
|
|
Face Detection (SP)
|
100% |
3256
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
325
3.86 IPS |
|
|
Face Detection (Q)
|
97% |
5265
62.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6140
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1043
8.03 IPS |
|
|
Depth Estimation (Q)
|
76% |
10563
85.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13762
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11318
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26532
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2284
84.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2068
76.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3526
130.6 IPS |
|
|
Text Classification (SP)
|
100% |
1921
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
747
996.9 IPS |
|
|
Text Classification (Q)
|
97% |
430
575.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2065
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2137
47.7 IPS |
