Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
8403
Single Precision Score
12090
Half Precision Score
6159
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | moustafaNL |
| Upload Date | December 08 2024 06:41 PM |
| Views | 7 |
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% |
3356
624.1 IPS |
|
|
Image Classification (HP)
|
100% |
5119
951.9 IPS |
|
|
Image Classification (Q)
|
100% |
3070
570.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4035
65.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4838
78.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3283
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
44250
51.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
77229
90.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30754
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
2718
215.6 IPS |
|
|
Object Detection (HP)
|
100% |
4125
327.2 IPS |
|
|
Object Detection (Q)
|
87% |
2503
201.1 IPS |
|
|
Face Detection (SP)
|
100% |
6198
73.6 IPS |
|
|
Face Detection (HP)
|
100% |
10959
130.2 IPS |
|
|
Face Detection (Q)
|
97% |
5140
61.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17925
138.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
29394
226.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
14304
114.7 IPS |
|
|
Style Transfer (SP)
|
100% |
74750
96.1 IPS |
|
|
Style Transfer (HP)
|
100% |
117968
151.6 IPS |
|
|
Style Transfer (Q)
|
98% |
48562
62.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14800
546.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21792
804.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9130
338.1 IPS |
|
|
Text Classification (SP)
|
100% |
2697
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2968
3.96 KIPS |
|
|
Text Classification (Q)
|
97% |
1869
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3253
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3442
59.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1662
31.2 IPS |
