Micro Computer (HK) Tech Limited AI Series
Geekbench AI Score
8264
Single Precision Score
13801
Half Precision Score
6106
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 29 2025 11:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (64-bit) |
| Model | Micro Computer (HK) Tech Limited AI Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F8BAC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3227
600.2 IPS |
|
|
Image Classification (HP)
|
100% |
5373
999.3 IPS |
|
|
Image Classification (Q)
|
100% |
2861
532.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4187
67.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5655
91.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3491
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
44775
52.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
102947
120.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
31084
36.4 IPS |
|
|
Object Detection (SP)
|
100% |
2303
182.7 IPS |
|
|
Object Detection (HP)
|
100% |
4168
330.6 IPS |
|
|
Object Detection (Q)
|
87% |
2162
173.7 IPS |
|
|
Face Detection (SP)
|
100% |
6132
72.9 IPS |
|
|
Face Detection (HP)
|
100% |
11022
131.0 IPS |
|
|
Face Detection (Q)
|
97% |
5243
62.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18055
139.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
30972
238.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
13700
109.9 IPS |
|
|
Style Transfer (SP)
|
100% |
78084
100.4 IPS |
|
|
Style Transfer (HP)
|
100% |
150110
193.0 IPS |
|
|
Style Transfer (Q)
|
98% |
52664
67.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13168
486.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26021
960.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8629
319.5 IPS |
|
|
Text Classification (SP)
|
100% |
2599
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
3309
4.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1844
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3608
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4359
75.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1786
33.5 IPS |
