Micro Computer (HK) Tech Limited Venus Series
Geekbench AI Score
865
Single Precision Score
438
Half Precision Score
1448
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | PC-FREEDOM |
| Upload Date | June 20 2025 11:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel N100 |
| 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% |
622
115.7 IPS |
|
|
Image Classification (HP)
|
100% |
218
40.5 IPS |
|
|
Image Classification (Q)
|
99% |
1055
196.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
476
7.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
305
4.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
922
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
958
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
690
0.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
2197
2.58 IPS |
|
|
Object Detection (SP)
|
100% |
558
44.3 IPS |
|
|
Object Detection (HP)
|
100% |
239
18.9 IPS |
|
|
Object Detection (Q)
|
86% |
1050
84.4 IPS |
|
|
Face Detection (SP)
|
100% |
1596
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
561
6.66 IPS |
|
|
Face Detection (Q)
|
97% |
2256
26.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1481
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
602
4.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
2555
20.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2442
3.14 IPS |
|
|
Style Transfer (HP)
|
100% |
1769
2.27 IPS |
|
|
Style Transfer (Q)
|
98% |
4558
5.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
559
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
420
15.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
972
36.0 IPS |
|
|
Text Classification (SP)
|
100% |
522
697.1 IPS |
|
|
Text Classification (HP)
|
100% |
317
423.3 IPS |
|
|
Text Classification (Q)
|
97% |
653
875.0 IPS |
|
|
Machine Translation (SP)
|
100% |
881
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
302
5.20 IPS |
|
|
Machine Translation (Q)
|
65% |
1086
21.8 IPS |
