AZW EQ
Geekbench AI Score
902
Single Precision Score
481
Half Precision Score
1471
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 01:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW EQ |
| Motherboard | AZW EQ |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
623
115.9 IPS |
|
|
Image Classification (HP)
|
100% |
217
40.3 IPS |
|
|
Image Classification (Q)
|
99% |
1071
199.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
439
7.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
303
4.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
923
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1154
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
889
1.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
2423
2.84 IPS |
|
|
Object Detection (SP)
|
100% |
609
48.3 IPS |
|
|
Object Detection (HP)
|
100% |
257
20.3 IPS |
|
|
Object Detection (Q)
|
86% |
1076
86.5 IPS |
|
|
Face Detection (SP)
|
100% |
1434
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
582
6.91 IPS |
|
|
Face Detection (Q)
|
97% |
2279
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1584
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
689
5.31 IPS |
|
|
Depth Estimation (Q)
|
78% |
2565
20.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2927
3.76 IPS |
|
|
Style Transfer (HP)
|
100% |
2133
2.74 IPS |
|
|
Style Transfer (Q)
|
98% |
4369
5.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
611
22.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
474
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
990
36.6 IPS |
|
|
Text Classification (SP)
|
100% |
524
699.8 IPS |
|
|
Text Classification (HP)
|
100% |
316
421.7 IPS |
|
|
Text Classification (Q)
|
97% |
638
855.1 IPS |
|
|
Machine Translation (SP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
345
5.94 IPS |
|
|
Machine Translation (Q)
|
65% |
1143
23.0 IPS |
