Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
19961
Single Precision Score
26937
Half Precision Score
15761
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | March 05 2025 04:41 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% |
7487
1.39 KIPS |
|
|
Image Classification (HP)
|
99% |
9576
1.79 KIPS |
|
|
Image Classification (Q)
|
100% |
6902
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11710
189.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13259
214.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10835
176.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
144008
168.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
302648
353.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
129543
151.7 IPS |
|
|
Object Detection (SP)
|
100% |
9525
755.5 IPS |
|
|
Object Detection (HP)
|
100% |
13377
1.06 KIPS |
|
|
Object Detection (Q)
|
88% |
8183
656.2 IPS |
|
|
Face Detection (SP)
|
100% |
22400
266.2 IPS |
|
|
Face Detection (HP)
|
100% |
27953
332.1 IPS |
|
|
Face Detection (Q)
|
97% |
18735
223.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
54801
422.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
84452
650.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
42660
343.2 IPS |
|
|
Style Transfer (SP)
|
100% |
235334
302.5 IPS |
|
|
Style Transfer (HP)
|
100% |
463744
596.2 IPS |
|
|
Style Transfer (Q)
|
98% |
211032
272.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37308
1.38 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41636
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27646
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2454
3.28 KIPS |
|
|
Text Classification (HP)
|
99% |
2779
3.71 KIPS |
|
|
Text Classification (Q)
|
97% |
1728
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3158
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3090
53.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1481
33.0 IPS |
