Micro Computer (HK) Tech Limited MS-A2
Geekbench AI Score
1817
Single Precision Score
2009
Half Precision Score
1492
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 08:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited MS-A2 |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F1WSA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9955HX 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
605
112.6 IPS |
|
|
Image Classification (HP)
|
100% |
617
114.7 IPS |
|
|
Image Classification (Q)
|
100% |
618
114.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1065
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
612
9.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
923
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6087
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
10166
11.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
5450
6.39 IPS |
|
|
Object Detection (SP)
|
100% |
666
52.8 IPS |
|
|
Object Detection (HP)
|
100% |
643
51.0 IPS |
|
|
Object Detection (Q)
|
87% |
630
50.6 IPS |
|
|
Face Detection (SP)
|
100% |
1956
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
1985
23.6 IPS |
|
|
Face Detection (Q)
|
97% |
1825
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3463
26.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4070
31.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3027
24.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10544
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15467
19.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9335
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2666
98.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3471
128.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1971
73.0 IPS |
|
|
Text Classification (SP)
|
100% |
716
956.3 IPS |
|
|
Text Classification (HP)
|
100% |
900
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
494
661.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1113
19.2 IPS |
|
|
Machine Translation (Q)
|
70% |
557
10.4 IPS |
