Micro Computer (HK) Tech Limited N5 PRO
Geekbench ML Score
5957
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2025 04:47 AM |
| Views | 9 |
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 | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2540
475.4 IPS |
|
|
Image Classification (F16)
|
100% |
1998
373.8 IPS |
|
|
Image Classification (I8)
|
100% |
1605
300.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
3835
64.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
3782
63.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3138
52.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
42003
50.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
42100
51.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
29461
35.7 IPS |
|
|
Object Detection (F32)
|
100% |
1613
120.4 IPS |
|
|
Object Detection (F16)
|
100% |
1654
123.5 IPS |
|
|
Object Detection (I8)
|
62% |
1526
113.9 IPS |
|
|
Face Detection (F32)
|
100% |
5384
64.0 IPS |
|
|
Face Detection (F16)
|
100% |
5333
63.4 IPS |
|
|
Face Detection (I8)
|
89% |
4199
49.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
15431
119.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
15637
121.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
12102
93.8 IPS |
|
|
Style Transfer (F32)
|
100% |
58137
76.5 IPS |
|
|
Style Transfer (F16)
|
100% |
61440
80.8 IPS |
|
|
Style Transfer (I8)
|
98% |
41260
54.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9329
333.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8842
315.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7064
252.3 IPS |
|
|
Text Classification (F32)
|
100% |
2438
3.50 KIPS |
|
|
Text Classification (F16)
|
100% |
2219
3.19 KIPS |
|
|
Text Classification (I8)
|
98% |
1598
2.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
2392
44.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2442
44.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1487
27.4 IPS |
