NA TX15
Geekbench AI Score
1331
Single Precision Score
2104
Half Precision Score
3055
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | enitsebas |
| Upload Date | December 06 2025 02:40 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
850
158.0 IPS |
|
|
Image Classification (HP)
|
100% |
1365
253.8 IPS |
|
|
Image Classification (Q)
|
99% |
1867
348.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1134
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2418
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2121
2.48 IPS |
|
|
Pose Estimation (HP)
|
99% |
1793
2.09 IPS |
|
|
Pose Estimation (Q)
|
97% |
6124
7.17 IPS |
|
|
Object Detection (SP)
|
100% |
794
63.0 IPS |
|
|
Object Detection (HP)
|
99% |
1337
106.0 IPS |
|
|
Object Detection (Q)
|
90% |
2093
167.3 IPS |
|
|
Face Detection (SP)
|
100% |
2146
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
4007
47.6 IPS |
|
|
Face Detection (Q)
|
100% |
5187
61.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2631
20.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4721
36.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
5997
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5930
7.62 IPS |
|
|
Style Transfer (HP)
|
100% |
9122
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15051
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1048
38.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1770
65.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3103
114.9 IPS |
|
|
Text Classification (SP)
|
71% |
571
825.6 IPS |
|
|
Text Classification (HP)
|
71% |
704
1.02 KIPS |
|
|
Text Classification (Q)
|
92% |
736
988.8 IPS |
|
|
Machine Translation (SP)
|
100% |
540
9.31 IPS |
|
|
Machine Translation (HP)
|
98% |
1130
19.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1145
19.7 IPS |
