NA TX15
Geekbench AI Score
748
Single Precision Score
420
Half Precision Score
1336
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | enitsebas |
| Upload Date | December 06 2025 01:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | NA TX15 |
| Motherboard | NA TX15 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel(R) N150 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 800 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
496
92.2 IPS |
|
|
Image Classification (HP)
|
100% |
177
32.9 IPS |
|
|
Image Classification (Q)
|
99% |
892
166.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
266
4.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
1218
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1027
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
842
0.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
2266
2.66 IPS |
|
|
Object Detection (SP)
|
100% |
530
42.1 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
86% |
911
73.2 IPS |
|
|
Face Detection (SP)
|
100% |
1110
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
494
5.86 IPS |
|
|
Face Detection (Q)
|
97% |
2113
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1413
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
645
4.97 IPS |
|
|
Depth Estimation (Q)
|
78% |
2213
17.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2612
3.36 IPS |
|
|
Style Transfer (HP)
|
100% |
2087
2.68 IPS |
|
|
Style Transfer (Q)
|
98% |
3978
5.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
527
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
311
11.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
766
28.4 IPS |
|
|
Text Classification (SP)
|
100% |
365
486.9 IPS |
|
|
Text Classification (HP)
|
100% |
280
373.6 IPS |
|
|
Text Classification (Q)
|
97% |
592
793.5 IPS |
|
|
Machine Translation (SP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
311
5.35 IPS |
|
|
Machine Translation (Q)
|
65% |
960
19.3 IPS |
