Micro Computer (HK) Tech Limited N5 PRO
Geekbench AI Score
107
Single Precision Score
106
Half Precision Score
81
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | October 06 2025 05:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX PRO 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | Micro Computer (HK) Tech Limited N5 PRO |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F8NAA |
| 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 | 5.16 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 28.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
79
14.6 IPS |
|
|
Image Classification (HP)
|
100% |
78
14.5 IPS |
|
|
Image Classification (Q)
|
97% |
64
11.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
100
1.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
95
1.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
73
1.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
99
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
95
0.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
82
0.10 IPS |
|
|
Object Detection (SP)
|
100% |
57
4.53 IPS |
|
|
Object Detection (HP)
|
100% |
57
4.53 IPS |
|
|
Object Detection (Q)
|
87% |
47
3.74 IPS |
|
|
Face Detection (SP)
|
100% |
197
2.34 IPS |
|
|
Face Detection (HP)
|
100% |
193
2.30 IPS |
|
|
Face Detection (Q)
|
97% |
155
1.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
138
1.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
136
1.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
95
0.88 IPS |
|
|
Style Transfer (SP)
|
100% |
290
0.37 IPS |
|
|
Style Transfer (HP)
|
100% |
290
0.37 IPS |
|
|
Style Transfer (Q)
|
98% |
247
0.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62
2.29 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
61
2.27 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
51
1.90 IPS |
|
|
Text Classification (SP)
|
100% |
77
102.8 IPS |
|
|
Text Classification (HP)
|
100% |
77
102.9 IPS |
|
|
Text Classification (Q)
|
91% |
59
79.5 IPS |
|
|
Machine Translation (SP)
|
100% |
128
2.20 IPS |
|
|
Machine Translation (HP)
|
100% |
129
2.23 IPS |
|
|
Machine Translation (Q)
|
58% |
69
1.65 IPS |
