ShenZhen ZhiWei Technology Co.,Ltd NA105H
Geekbench AI Score
674
Single Precision Score
670
Half Precision Score
434
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | tlmiller76 |
| Upload Date | October 20 2025 06:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | ShenZhen ZhiWei Technology Co.,Ltd NA105H |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel(R) N150 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
435
80.9 IPS |
|
|
Image Classification (HP)
|
100% |
430
80.0 IPS |
|
|
Image Classification (Q)
|
99% |
279
52.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
543
8.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
545
8.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
334
5.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
770
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
705
0.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
618
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (HP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (Q)
|
85% |
289
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
918
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
925
11.0 IPS |
|
|
Face Detection (Q)
|
97% |
721
8.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
810
6.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
818
6.31 IPS |
|
|
Depth Estimation (Q)
|
63% |
554
5.19 IPS |
|
|
Style Transfer (SP)
|
100% |
1292
1.66 IPS |
|
|
Style Transfer (HP)
|
100% |
1303
1.68 IPS |
|
|
Style Transfer (Q)
|
98% |
1471
1.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
450
16.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
451
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
360
13.3 IPS |
|
|
Text Classification (SP)
|
100% |
613
818.0 IPS |
|
|
Text Classification (HP)
|
100% |
615
820.3 IPS |
|
|
Text Classification (Q)
|
92% |
265
356.5 IPS |
|
|
Machine Translation (SP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
954
16.4 IPS |
|
|
Machine Translation (Q)
|
58% |
259
6.09 IPS |
