Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
25370
Single Precision Score
35332
Half Precision Score
20144
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 06 2025 08:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Micro Computer (HK) Tech Limited Venus series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BSD |
| Power Plan | Utilisation normale |
| 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% |
10030
1.87 KIPS |
|
|
Image Classification (HP)
|
99% |
13289
2.48 KIPS |
|
|
Image Classification (Q)
|
100% |
8767
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14242
230.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
17031
276.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
13134
213.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
178469
208.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
414835
484.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
162490
190.4 IPS |
|
|
Object Detection (SP)
|
100% |
12000
951.9 IPS |
|
|
Object Detection (HP)
|
100% |
15803
1.25 KIPS |
|
|
Object Detection (Q)
|
85% |
10335
831.4 IPS |
|
|
Face Detection (SP)
|
100% |
31852
378.5 IPS |
|
|
Face Detection (HP)
|
100% |
38336
455.5 IPS |
|
|
Face Detection (Q)
|
97% |
27928
333.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
74639
575.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
117407
907.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
57624
460.7 IPS |
|
|
Style Transfer (SP)
|
100% |
313679
403.2 IPS |
|
|
Style Transfer (HP)
|
100% |
658427
846.4 IPS |
|
|
Style Transfer (Q)
|
98% |
276561
356.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41984
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50325
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31543
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3063
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3669
4.90 KIPS |
|
|
Text Classification (Q)
|
97% |
1896
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3766
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3735
64.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2138
40.1 IPS |
