NA TX15
Geekbench AI Score
924
Single Precision Score
926
Half Precision Score
1783
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | enitsebas |
| Upload Date | December 06 2025 02:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
531
98.7 IPS |
|
|
Image Classification (HP)
|
100% |
529
98.3 IPS |
|
|
Image Classification (Q)
|
100% |
1087
202.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
598
9.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
598
9.69 IPS |
|
|
Image Segmentation (Q)
|
99% |
1135
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1048
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1050
1.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
2458
2.88 IPS |
|
|
Object Detection (SP)
|
100% |
527
41.8 IPS |
|
|
Object Detection (HP)
|
100% |
528
41.9 IPS |
|
|
Object Detection (Q)
|
88% |
1103
88.4 IPS |
|
|
Face Detection (SP)
|
100% |
1382
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
1392
16.5 IPS |
|
|
Face Detection (Q)
|
100% |
2754
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1381
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1379
10.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
2941
22.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2969
3.82 IPS |
|
|
Style Transfer (HP)
|
100% |
2968
3.82 IPS |
|
|
Style Transfer (Q)
|
98% |
6927
8.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
638
23.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
637
23.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1432
53.0 IPS |
|
|
Text Classification (SP)
|
100% |
667
890.6 IPS |
|
|
Text Classification (HP)
|
100% |
680
907.3 IPS |
|
|
Text Classification (Q)
|
92% |
1120
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1083
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1082
18.6 IPS |
