AZW EQ
Geekbench AI Score
902
Single Precision Score
482
Half Precision Score
1474
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 01:12 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% |
628
116.8 IPS |
|
|
Image Classification (HP)
|
100% |
213
39.5 IPS |
|
|
Image Classification (Q)
|
99% |
1033
192.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
436
7.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
928
15.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1152
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
891
1.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
2423
2.84 IPS |
|
|
Object Detection (SP)
|
100% |
604
47.9 IPS |
|
|
Object Detection (HP)
|
100% |
257
20.4 IPS |
|
|
Object Detection (Q)
|
86% |
1081
86.9 IPS |
|
|
Face Detection (SP)
|
100% |
1428
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
587
6.97 IPS |
|
|
Face Detection (Q)
|
97% |
2293
27.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1583
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
689
5.31 IPS |
|
|
Depth Estimation (Q)
|
78% |
2586
20.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2924
3.76 IPS |
|
|
Style Transfer (HP)
|
100% |
2129
2.74 IPS |
|
|
Style Transfer (Q)
|
98% |
4388
5.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
607
22.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
477
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
989
36.6 IPS |
|
|
Text Classification (SP)
|
100% |
541
721.7 IPS |
|
|
Text Classification (HP)
|
100% |
327
436.6 IPS |
|
|
Text Classification (Q)
|
97% |
657
880.3 IPS |
|
|
Machine Translation (SP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
347
5.99 IPS |
|
|
Machine Translation (Q)
|
65% |
1142
23.0 IPS |
