NA TX15
Geekbench AI Score
894
Single Precision Score
951
Half Precision Score
627
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | enitsebas |
| Upload Date | December 06 2025 01:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
406
75.5 IPS |
|
|
Image Classification (HP)
|
100% |
415
77.2 IPS |
|
|
Image Classification (Q)
|
100% |
344
64.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
542
8.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
605
9.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
404
6.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2347
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2851
3.33 IPS |
|
|
Pose Estimation (Q)
|
96% |
1790
2.10 IPS |
|
|
Object Detection (SP)
|
100% |
442
35.1 IPS |
|
|
Object Detection (HP)
|
98% |
394
31.4 IPS |
|
|
Object Detection (Q)
|
86% |
379
30.5 IPS |
|
|
Face Detection (SP)
|
100% |
831
9.87 IPS |
|
|
Face Detection (HP)
|
100% |
951
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
644
7.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
1655
12.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
1857
14.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
1271
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5230
6.72 IPS |
|
|
Style Transfer (HP)
|
100% |
7350
9.45 IPS |
|
|
Style Transfer (Q)
|
98% |
3967
5.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
945
34.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1345
49.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
518
19.2 IPS |
|
|
Text Classification (SP)
|
100% |
476
635.3 IPS |
|
|
Text Classification (HP)
|
100% |
282
375.8 IPS |
|
|
Text Classification (Q)
|
97% |
251
336.8 IPS |
|
|
Machine Translation (SP)
|
100% |
442
7.62 IPS |
|
|
Machine Translation (HP)
|
100% |
437
7.52 IPS |
|
|
Machine Translation (Q)
|
70% |
237
4.45 IPS |
