Micro Computer (HK) Tech Limited MS-02-Ultra
Geekbench AI Score
5413
Single Precision Score
1289
Half Precision Score
10834
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | febres |
| Upload Date | January 30 2026 12:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285HX |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Micro Computer (HK) Tech Limited MS-02-Ultra |
| Motherboard | Meigao Innovation Technology (Shen Zhen) Co., Ltd ARWSA |
| 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 | 5.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 46.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3303
614.3 IPS |
|
|
Image Classification (HP)
|
100% |
276
51.3 IPS |
|
|
Image Classification (Q)
|
97% |
10713
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2231
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
442
7.17 IPS |
|
|
Image Segmentation (Q)
|
99% |
5285
85.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13548
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
7230
8.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
43453
50.9 IPS |
|
|
Object Detection (SP)
|
100% |
3257
258.4 IPS |
|
|
Object Detection (HP)
|
100% |
369
29.2 IPS |
|
|
Object Detection (Q)
|
86% |
12309
989.3 IPS |
|
|
Face Detection (SP)
|
100% |
4347
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
467
5.55 IPS |
|
|
Face Detection (Q)
|
97% |
26595
317.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11473
88.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1641
12.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
24062
192.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30910
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19235
24.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17060
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5493
202.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3401
125.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7270
269.2 IPS |
|
|
Text Classification (SP)
|
100% |
2216
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
873
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1861
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3545
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
890
15.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4985
100.2 IPS |
