Default string Default string
Geekbench AI Score
742
Single Precision Score
441
Half Precision Score
1422
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 05 2025 08:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Balanced |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
565
105.2 IPS |
|
|
Image Classification (HP)
|
100% |
204
37.8 IPS |
|
|
Image Classification (Q)
|
99% |
992
185.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
202
3.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
1262
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1075
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
842
0.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
2322
2.72 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (Q)
|
86% |
1016
81.7 IPS |
|
|
Face Detection (SP)
|
100% |
1223
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
527
6.26 IPS |
|
|
Face Detection (Q)
|
97% |
2106
25.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1464
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
654
5.04 IPS |
|
|
Depth Estimation (Q)
|
78% |
2473
19.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2732
3.51 IPS |
|
|
Style Transfer (HP)
|
100% |
2056
2.64 IPS |
|
|
Style Transfer (Q)
|
98% |
3862
4.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
563
20.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
442
16.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1068
39.5 IPS |
|
|
Text Classification (SP)
|
100% |
422
563.2 IPS |
|
|
Text Classification (HP)
|
100% |
284
379.3 IPS |
|
|
Text Classification (Q)
|
97% |
587
785.7 IPS |
|
|
Machine Translation (SP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.66 IPS |
|
|
Machine Translation (Q)
|
65% |
913
18.4 IPS |
