Micro Computer (HK) Tech Limited Venus Series
Geekbench AI Score
670
Single Precision Score
705
Half Precision Score
473
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | PC-FREEDOM |
| Upload Date | June 20 2025 11:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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 DNBID |
| CPU Information | |
|---|---|
| Name | Intel N100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 800 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
301
55.9 IPS |
|
|
Image Classification (HP)
|
100% |
307
57.1 IPS |
|
|
Image Classification (Q)
|
100% |
255
47.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
423
6.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
467
7.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
332
5.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
1863
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2157
2.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
1373
1.61 IPS |
|
|
Object Detection (SP)
|
100% |
330
26.2 IPS |
|
|
Object Detection (HP)
|
98% |
295
23.5 IPS |
|
|
Object Detection (Q)
|
86% |
282
22.7 IPS |
|
|
Face Detection (SP)
|
100% |
696
8.27 IPS |
|
|
Face Detection (HP)
|
100% |
726
8.62 IPS |
|
|
Face Detection (Q)
|
97% |
531
6.33 IPS |
|
|
Depth Estimation (SP)
|
100% |
1244
9.58 IPS |
|
|
Depth Estimation (HP)
|
98% |
1370
10.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
944
7.57 IPS |
|
|
Style Transfer (SP)
|
100% |
3900
5.01 IPS |
|
|
Style Transfer (HP)
|
100% |
5521
7.10 IPS |
|
|
Style Transfer (Q)
|
98% |
3037
3.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
683
25.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
981
36.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
386
14.3 IPS |
|
|
Text Classification (SP)
|
100% |
318
425.0 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.9 IPS |
|
|
Text Classification (Q)
|
97% |
170
227.4 IPS |
|
|
Machine Translation (SP)
|
100% |
319
5.49 IPS |
|
|
Machine Translation (HP)
|
100% |
307
5.29 IPS |
|
|
Machine Translation (Q)
|
70% |
173
3.24 IPS |
