Micro Computer (HK) Tech Limited MS-A2
Geekbench ML Score
1634
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 14 2025 02:13 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 | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
571
106.9 IPS |
|
|
Image Classification (F16)
|
100% |
575
107.7 IPS |
|
|
Image Classification (I8)
|
100% |
543
101.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1036
17.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1035
17.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
900
15.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6245
7.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
6253
7.57 IPS |
|
|
Pose Estimation (I8)
|
100% |
5575
6.75 IPS |
|
|
Object Detection (F32)
|
100% |
621
46.4 IPS |
|
|
Object Detection (F16)
|
100% |
625
46.7 IPS |
|
|
Object Detection (I8)
|
62% |
587
43.8 IPS |
|
|
Face Detection (F32)
|
100% |
1725
20.5 IPS |
|
|
Face Detection (F16)
|
100% |
1705
20.3 IPS |
|
|
Face Detection (I8)
|
89% |
1475
17.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3401
26.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
3426
26.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
3093
24.0 IPS |
|
|
Style Transfer (F32)
|
100% |
10507
13.8 IPS |
|
|
Style Transfer (F16)
|
100% |
10227
13.5 IPS |
|
|
Style Transfer (I8)
|
98% |
9058
11.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2525
90.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2516
89.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1923
68.7 IPS |
|
|
Text Classification (F32)
|
100% |
669
962.2 IPS |
|
|
Text Classification (F16)
|
100% |
672
966.4 IPS |
|
|
Text Classification (I8)
|
98% |
464
666.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1120
20.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1089
20.0 IPS |
|
|
Machine Translation (I8)
|
70% |
624
11.5 IPS |
