Micro Computer (HK) Tech Limited AI Series
Geekbench AI Score
4524
Single Precision Score
1868
Half Precision Score
8462
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | kazk |
| Upload Date | September 21 2025 05:34 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3635
676.1 IPS |
|
|
Image Classification (HP)
|
100% |
697
129.6 IPS |
|
|
Image Classification (Q)
|
99% |
7556
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
938
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9959
161.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8226
9.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
5851
6.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
28062
32.9 IPS |
|
|
Object Detection (SP)
|
100% |
3398
269.5 IPS |
|
|
Object Detection (HP)
|
100% |
885
70.2 IPS |
|
|
Object Detection (Q)
|
86% |
7760
623.7 IPS |
|
|
Face Detection (SP)
|
100% |
8874
105.4 IPS |
|
|
Face Detection (HP)
|
100% |
1903
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
10045
119.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10278
79.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2697
20.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
16993
135.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19574
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13469
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23689
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3019
111.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2321
85.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5633
208.6 IPS |
|
|
Text Classification (SP)
|
100% |
1473
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
827
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1441
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2435
42.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1156
19.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3502
70.4 IPS |
