Micro Computer(HK) Tech Limited Venus series
Geekbench ML Score
3181
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 12 2025 11:32 AM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro Computer(HK) Tech Limited Venus series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd AHBNB |
| Power Plan | High performance |
| 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 |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1611
301.5 IPS |
|
|
Image Classification (F16)
|
100% |
1631
305.2 IPS |
|
|
Image Classification (I8)
|
99% |
3159
591.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1470
24.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1553
25.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2459
41.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5128
6.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
5167
6.26 IPS |
|
|
Pose Estimation (I8)
|
100% |
18245
22.1 IPS |
|
|
Object Detection (F32)
|
100% |
1561
116.5 IPS |
|
|
Object Detection (F16)
|
100% |
1527
114.0 IPS |
|
|
Object Detection (I8)
|
62% |
1636
122.1 IPS |
|
|
Face Detection (F32)
|
100% |
2756
32.8 IPS |
|
|
Face Detection (F16)
|
100% |
2778
33.0 IPS |
|
|
Face Detection (I8)
|
89% |
3559
42.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6084
47.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5914
45.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
11793
91.5 IPS |
|
|
Style Transfer (F32)
|
100% |
12287
16.2 IPS |
|
|
Style Transfer (F16)
|
100% |
12298
16.2 IPS |
|
|
Style Transfer (I8)
|
98% |
16345
21.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2886
103.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2906
103.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4028
143.9 IPS |
|
|
Text Classification (F32)
|
100% |
1306
1.88 KIPS |
|
|
Text Classification (F16)
|
100% |
1315
1.89 KIPS |
|
|
Text Classification (I8)
|
98% |
1061
1.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
1714
31.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1735
31.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2623
48.3 IPS |
