Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
19509
Single Precision Score
27265
Half Precision Score
15805
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | March 23 2025 12:52 PM |
| Views | 14 |
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% |
7322
1.36 KIPS |
|
|
Image Classification (HP)
|
99% |
9837
1.83 KIPS |
|
|
Image Classification (Q)
|
100% |
6495
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10206
165.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13445
217.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10769
175.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
141954
165.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
298097
347.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
129376
151.5 IPS |
|
|
Object Detection (SP)
|
100% |
9607
762.0 IPS |
|
|
Object Detection (HP)
|
100% |
12720
1.01 KIPS |
|
|
Object Detection (Q)
|
88% |
7910
634.3 IPS |
|
|
Face Detection (SP)
|
100% |
21266
252.7 IPS |
|
|
Face Detection (HP)
|
100% |
27992
332.6 IPS |
|
|
Face Detection (Q)
|
97% |
19265
229.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
56038
431.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87200
671.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
44253
356.0 IPS |
|
|
Style Transfer (SP)
|
100% |
239417
307.8 IPS |
|
|
Style Transfer (HP)
|
100% |
466531
599.7 IPS |
|
|
Style Transfer (Q)
|
98% |
218881
282.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37912
1.40 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44105
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27623
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2551
3.41 KIPS |
|
|
Text Classification (HP)
|
99% |
3113
4.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1847
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2841
48.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2896
49.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1428
31.8 IPS |
