Micro Computer (HK) Tech Limited N5 PRO
Geekbench ML Score
4107
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2025 04:41 AM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited N5 PRO |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F8NAA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX PRO 370 w/ Radeon 890M |
| 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 |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 5.33 MB x 3 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1779
332.9 IPS |
|
|
Image Classification (F16)
|
100% |
1783
333.7 IPS |
|
|
Image Classification (I8)
|
99% |
4551
851.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1757
29.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1724
28.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3262
54.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
7304
8.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
7321
8.87 IPS |
|
|
Pose Estimation (I8)
|
100% |
27311
33.1 IPS |
|
|
Object Detection (F32)
|
100% |
1910
142.6 IPS |
|
|
Object Detection (F16)
|
100% |
1929
144.0 IPS |
|
|
Object Detection (I8)
|
62% |
2064
154.1 IPS |
|
|
Face Detection (F32)
|
100% |
3515
41.8 IPS |
|
|
Face Detection (F16)
|
100% |
3499
41.6 IPS |
|
|
Face Detection (I8)
|
89% |
5618
66.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
7512
58.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7426
57.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
17228
133.6 IPS |
|
|
Style Transfer (F32)
|
100% |
16650
21.9 IPS |
|
|
Style Transfer (F16)
|
100% |
16916
22.3 IPS |
|
|
Style Transfer (I8)
|
98% |
28981
38.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2972
106.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2945
105.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4473
159.8 IPS |
|
|
Text Classification (F32)
|
100% |
1672
2.40 KIPS |
|
|
Text Classification (F16)
|
100% |
1646
2.37 KIPS |
|
|
Text Classification (I8)
|
98% |
1281
1.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
2596
47.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2504
46.1 IPS |
|
|
Machine Translation (I8)
|
67% |
3306
60.8 IPS |
