Micro Computer(HK) Tech Limited Venus series
Geekbench AI Score
2662
Single Precision Score
915
Half Precision Score
5002
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 07:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900HK |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Micro Computer(HK) Tech Limited Venus series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd AHBNB |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900HK |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2101
390.8 IPS |
|
|
Image Classification (HP)
|
100% |
374
69.6 IPS |
|
|
Image Classification (Q)
|
99% |
3888
725.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1024
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
590
9.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
5550
90.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4648
5.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2953
3.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
15621
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2091
165.8 IPS |
|
|
Object Detection (HP)
|
100% |
511
40.6 IPS |
|
|
Object Detection (Q)
|
86% |
4106
330.0 IPS |
|
|
Face Detection (SP)
|
100% |
5207
61.9 IPS |
|
|
Face Detection (HP)
|
100% |
1152
13.7 IPS |
|
|
Face Detection (Q)
|
97% |
6123
73.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6094
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1471
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10235
81.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10913
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1746
2.24 IPS |
|
|
Style Transfer (Q)
|
98% |
15838
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1655
61.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1319
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3522
130.4 IPS |
|
|
Text Classification (SP)
|
100% |
1048
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
543
725.2 IPS |
|
|
Text Classification (Q)
|
97% |
1047
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1428
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (Q)
|
65% |
1936
38.9 IPS |
