Micro Computer (HK) Tech Limited MS-02-Ultra
Geekbench AI Score
8899
Single Precision Score
9380
Half Precision Score
16862
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | December 06 2025 12:15 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285HX |
| 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% |
6022
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
6767
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
10647
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8172
132.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4587
74.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
13281
215.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13836
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14065
16.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
33010
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
5726
454.2 IPS |
|
|
Object Detection (HP)
|
100% |
7117
564.5 IPS |
|
|
Object Detection (Q)
|
88% |
11663
934.9 IPS |
|
|
Face Detection (SP)
|
100% |
15375
182.7 IPS |
|
|
Face Detection (HP)
|
100% |
19946
237.0 IPS |
|
|
Face Detection (Q)
|
100% |
30468
362.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14218
109.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17037
131.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
32084
249.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26899
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26539
34.1 IPS |
|
|
Style Transfer (Q)
|
98% |
93902
121.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8505
314.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8831
326.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17861
661.5 IPS |
|
|
Text Classification (SP)
|
100% |
3974
5.30 KIPS |
|
|
Text Classification (HP)
|
100% |
3060
4.08 KIPS |
|
|
Text Classification (Q)
|
92% |
6068
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4022
69.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6967
120.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3431
59.1 IPS |
