Micro Computer (HK) Tech Limited N5 PRO
Geekbench AI Score
3144
Single Precision Score
1493
Half Precision Score
7090
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 01 2026 08:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX PRO 370 w/ Radeon 890M |
| 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 | Zrwnowaony |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2626
488.3 IPS |
|
|
Image Classification (HP)
|
100% |
578
107.5 IPS |
|
|
Image Classification (Q)
|
99% |
6719
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1201
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
895
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8984
146.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5819
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
4759
5.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
23913
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
100% |
690
54.8 IPS |
|
|
Object Detection (Q)
|
86% |
6729
540.8 IPS |
|
|
Face Detection (SP)
|
100% |
5888
70.0 IPS |
|
|
Face Detection (HP)
|
100% |
1538
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
9982
119.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7572
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2278
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
15446
123.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13232
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10711
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
26621
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1639
60.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1602
59.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2376
88.0 IPS |
|
|
Text Classification (SP)
|
100% |
1248
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
692
923.1 IPS |
|
|
Text Classification (Q)
|
97% |
1239
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1731
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2736
55.0 IPS |
