Micro Computer (HK) Tech Limited MS-02-Ultra
Geekbench AI Score
8946
Single Precision Score
9528
Half Precision Score
14610
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | December 06 2025 12:20 AM |
| Views | 20 |
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 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% |
6036
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
6755
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
9403
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8222
133.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2867
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3843
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14125
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34106
39.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
73338
85.9 IPS |
|
|
Object Detection (SP)
|
100% |
5830
462.4 IPS |
|
|
Object Detection (HP)
|
100% |
5999
475.9 IPS |
|
|
Object Detection (Q)
|
87% |
9723
780.4 IPS |
|
|
Face Detection (SP)
|
100% |
15303
181.8 IPS |
|
|
Face Detection (HP)
|
100% |
16141
191.8 IPS |
|
|
Face Detection (Q)
|
100% |
30575
363.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14265
109.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16845
129.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
32273
251.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27019
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
49012
63.0 IPS |
|
|
Style Transfer (Q)
|
98% |
89219
115.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8520
314.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13925
514.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22938
849.5 IPS |
|
|
Text Classification (SP)
|
100% |
3966
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1979
2.64 KIPS |
|
|
Text Classification (Q)
|
92% |
1985
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4032
69.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4241
73.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4290
73.9 IPS |
