Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
8555
Single Precision Score
12842
Half Precision Score
6254
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | pranavnv14 |
| Upload Date | May 04 2025 01:51 PM |
| Views | 5 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3413
634.8 IPS |
|
|
Image Classification (HP)
|
100% |
5187
964.6 IPS |
|
|
Image Classification (Q)
|
100% |
3114
579.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4162
67.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5030
81.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3307
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
43128
50.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
77274
90.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30778
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
2911
230.9 IPS |
|
|
Object Detection (HP)
|
100% |
4270
338.7 IPS |
|
|
Object Detection (Q)
|
87% |
2653
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
6135
72.9 IPS |
|
|
Face Detection (HP)
|
100% |
11915
141.6 IPS |
|
|
Face Detection (Q)
|
97% |
5176
61.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18963
146.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
30648
236.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
14380
115.3 IPS |
|
|
Style Transfer (SP)
|
100% |
73146
94.0 IPS |
|
|
Style Transfer (HP)
|
100% |
122304
157.2 IPS |
|
|
Style Transfer (Q)
|
98% |
48964
63.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14967
552.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24957
921.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9260
342.9 IPS |
|
|
Text Classification (SP)
|
100% |
2574
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1788
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3595
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3919
67.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1805
33.8 IPS |
