Micro Computer (HK) Tech Limited MS-02-Ultra
Geekbench AI Score
20599
Single Precision Score
38093
Half Precision Score
15700
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | December 08 2025 06:22 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| 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% |
8369
1.56 KIPS |
|
|
Image Classification (HP)
|
100% |
15310
2.85 KIPS |
|
|
Image Classification (Q)
|
99% |
7524
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15404
249.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24216
392.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14065
228.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
101174
118.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
321945
375.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
84320
98.8 IPS |
|
|
Object Detection (SP)
|
100% |
10801
856.7 IPS |
|
|
Object Detection (HP)
|
100% |
18130
1.44 KIPS |
|
|
Object Detection (Q)
|
83% |
9351
755.5 IPS |
|
|
Face Detection (SP)
|
100% |
27335
324.8 IPS |
|
|
Face Detection (HP)
|
100% |
45275
538.0 IPS |
|
|
Face Detection (Q)
|
97% |
23713
282.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
49439
380.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
102884
792.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
39868
318.8 IPS |
|
|
Style Transfer (SP)
|
100% |
152640
196.2 IPS |
|
|
Style Transfer (HP)
|
100% |
532778
684.9 IPS |
|
|
Style Transfer (Q)
|
98% |
130272
168.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27632
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54020
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21666
802.3 IPS |
|
|
Text Classification (SP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4260
5.69 KIPS |
|
|
Text Classification (Q)
|
97% |
2067
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
5086
87.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5206
89.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1978
37.1 IPS |
