Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
19882
Single Precision Score
26919
Half Precision Score
15817
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | March 05 2025 04:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| 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 F7BSD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7591
1.41 KIPS |
|
|
Image Classification (HP)
|
99% |
10198
1.90 KIPS |
|
|
Image Classification (Q)
|
100% |
6795
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11118
180.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13312
215.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10881
176.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
142132
165.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
296729
346.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
128152
150.1 IPS |
|
|
Object Detection (SP)
|
100% |
9543
757.0 IPS |
|
|
Object Detection (HP)
|
100% |
12025
953.9 IPS |
|
|
Object Detection (Q)
|
88% |
8082
648.1 IPS |
|
|
Face Detection (SP)
|
100% |
22162
263.3 IPS |
|
|
Face Detection (HP)
|
100% |
28351
336.9 IPS |
|
|
Face Detection (Q)
|
97% |
19052
227.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
57236
441.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87354
673.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
44092
354.7 IPS |
|
|
Style Transfer (SP)
|
100% |
239093
307.4 IPS |
|
|
Style Transfer (HP)
|
100% |
463504
595.8 IPS |
|
|
Style Transfer (Q)
|
98% |
216057
278.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36735
1.36 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42441
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27498
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2536
3.38 KIPS |
|
|
Text Classification (HP)
|
99% |
3010
4.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1767
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2985
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2813
48.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1452
32.4 IPS |
