Micro Computer (HK) Tech Limited MS-A2
Geekbench AI Score
6341
Single Precision Score
2296
Half Precision Score
10936
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rich777 |
| Upload Date | June 16 2025 10:45 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9955HX 16-Core Processor |
| 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% |
4313
802.2 IPS |
|
|
Image Classification (HP)
|
100% |
749
139.2 IPS |
|
|
Image Classification (Q)
|
99% |
10319
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2697
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4723
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
21727
25.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12634
14.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
64513
75.6 IPS |
|
|
Object Detection (SP)
|
100% |
4468
354.4 IPS |
|
|
Object Detection (HP)
|
100% |
916
72.7 IPS |
|
|
Object Detection (Q)
|
86% |
11730
942.7 IPS |
|
|
Face Detection (SP)
|
100% |
8810
104.7 IPS |
|
|
Face Detection (HP)
|
100% |
2112
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
12650
150.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12728
98.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3487
26.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
26002
207.5 IPS |
|
|
Style Transfer (SP)
|
100% |
38806
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28820
37.0 IPS |
|
|
Style Transfer (Q)
|
98% |
39796
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3364
124.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2614
96.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5219
193.3 IPS |
|
|
Text Classification (SP)
|
100% |
1788
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
785
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1662
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5847
117.5 IPS |
