Micro Computer(HK) Tech Limited Venus series
Geekbench AI Score
1234
Single Precision Score
629
Half Precision Score
2715
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | mhgsjm |
| Upload Date | October 12 2025 02:12 PM |
| Views | 4 |
| Notes | MINIS FORUM UN1265 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12650H |
| 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 AHBTB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12650H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
838
155.9 IPS |
|
|
Image Classification (HP)
|
100% |
211
39.2 IPS |
|
|
Image Classification (Q)
|
99% |
1870
348.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
3115
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1640
1.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
1179
1.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
5529
6.48 IPS |
|
|
Object Detection (SP)
|
100% |
832
66.0 IPS |
|
|
Object Detection (HP)
|
100% |
301
23.9 IPS |
|
|
Object Detection (Q)
|
86% |
1985
159.5 IPS |
|
|
Face Detection (SP)
|
100% |
2368
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
650
7.72 IPS |
|
|
Face Detection (Q)
|
97% |
4255
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2564
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1062
8.18 IPS |
|
|
Depth Estimation (Q)
|
78% |
5423
43.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4449
5.72 IPS |
|
|
Style Transfer (HP)
|
100% |
3250
4.18 IPS |
|
|
Style Transfer (Q)
|
98% |
8476
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
974
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1006
37.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1483
54.9 IPS |
|
|
Text Classification (SP)
|
100% |
531
709.4 IPS |
|
|
Text Classification (HP)
|
100% |
348
464.9 IPS |
|
|
Text Classification (Q)
|
97% |
575
770.8 IPS |
|
|
Machine Translation (SP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
427
7.35 IPS |
|
|
Machine Translation (Q)
|
65% |
2043
41.1 IPS |
