Micro Computer (HK) Tech Limited MS-02-Ultra
Geekbench AI Score
4406
Single Precision Score
6182
Half Precision Score
2957
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | December 06 2025 12:11 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited MS-02-Ultra |
| Motherboard | Meigao Innovation Technology (Shen Zhen) Co., Ltd ARWSA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2608
484.9 IPS |
|
|
Image Classification (HP)
|
100% |
3815
709.5 IPS |
|
|
Image Classification (Q)
|
99% |
1985
370.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3039
49.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5110
82.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2062
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8422
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
13123
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
7342
8.60 IPS |
|
|
Object Detection (SP)
|
100% |
2601
206.3 IPS |
|
|
Object Detection (HP)
|
100% |
4092
324.6 IPS |
|
|
Object Detection (Q)
|
86% |
1995
160.4 IPS |
|
|
Face Detection (SP)
|
100% |
5079
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
8150
96.8 IPS |
|
|
Face Detection (Q)
|
97% |
3345
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9656
74.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15137
117.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
6897
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27068
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
41924
53.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20312
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4693
173.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6962
257.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3167
117.3 IPS |
|
|
Text Classification (SP)
|
100% |
1162
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
898
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
660
884.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2198
37.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2410
41.7 IPS |
|
|
Machine Translation (Q)
|
70% |
872
16.3 IPS |
