Micro Computer (HK) Tech Limited MS-A2
Geekbench ML Score
5769
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 14 2025 01:52 PM |
| Views | 2 |
System Information
| 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 |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2155
403.2 IPS |
|
|
Image Classification (F16)
|
100% |
2233
417.9 IPS |
|
|
Image Classification (I8)
|
99% |
5377
1.01 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1837
30.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1590
26.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3904
65.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
22675
27.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
22268
27.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
61271
74.2 IPS |
|
|
Object Detection (F32)
|
100% |
2388
178.3 IPS |
|
|
Object Detection (F16)
|
100% |
2352
175.6 IPS |
|
|
Object Detection (I8)
|
62% |
2545
190.0 IPS |
|
|
Face Detection (F32)
|
100% |
3927
46.7 IPS |
|
|
Face Detection (F16)
|
100% |
3967
47.2 IPS |
|
|
Face Detection (I8)
|
89% |
5946
70.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
10667
82.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10686
82.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
25478
197.6 IPS |
|
|
Style Transfer (F32)
|
100% |
35853
47.2 IPS |
|
|
Style Transfer (F16)
|
100% |
37099
48.8 IPS |
|
|
Style Transfer (I8)
|
98% |
36533
48.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4626
165.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4580
163.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6751
241.1 IPS |
|
|
Text Classification (F32)
|
100% |
1934
2.78 KIPS |
|
|
Text Classification (F16)
|
100% |
1906
2.74 KIPS |
|
|
Text Classification (I8)
|
98% |
1445
2.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
3417
62.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3385
62.3 IPS |
|
|
Machine Translation (I8)
|
67% |
4536
83.5 IPS |
