Micro Computer (HK) Tech Limited AI Series
Geekbench AI Score
4786
Single Precision Score
10092
Half Precision Score
15448
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 03 2025 09:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited AI Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd ARBSC |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2529
470.4 IPS |
|
|
Image Classification (HP)
|
100% |
7301
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
10120
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3988
64.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2939
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3986
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7432
8.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
34334
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
75562
88.5 IPS |
|
|
Object Detection (SP)
|
100% |
2367
187.8 IPS |
|
|
Object Detection (HP)
|
100% |
6278
498.0 IPS |
|
|
Object Detection (Q)
|
87% |
10360
831.4 IPS |
|
|
Face Detection (SP)
|
100% |
8366
99.4 IPS |
|
|
Face Detection (HP)
|
100% |
17113
203.3 IPS |
|
|
Face Detection (Q)
|
100% |
28434
337.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7375
56.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18531
142.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
34249
266.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20893
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
52116
67.0 IPS |
|
|
Style Transfer (Q)
|
98% |
96115
123.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3516
129.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14447
533.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26713
989.3 IPS |
|
|
Text Classification (SP)
|
100% |
2526
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (Q)
|
92% |
2207
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3105
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4398
75.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4442
76.5 IPS |
