AZW EQ
Geekbench AI Score
1087
Single Precision Score
1669
Half Precision Score
2399
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 02:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
675
125.5 IPS |
|
|
Image Classification (HP)
|
100% |
1134
210.9 IPS |
|
|
Image Classification (Q)
|
99% |
1553
289.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
952
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1750
28.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1993
32.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1601
1.87 IPS |
|
|
Pose Estimation (HP)
|
99% |
1347
1.57 IPS |
|
|
Pose Estimation (Q)
|
97% |
4613
5.40 IPS |
|
|
Object Detection (SP)
|
100% |
624
49.5 IPS |
|
|
Object Detection (HP)
|
99% |
1072
85.0 IPS |
|
|
Object Detection (Q)
|
90% |
1686
134.8 IPS |
|
|
Face Detection (SP)
|
100% |
2016
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
3494
41.5 IPS |
|
|
Face Detection (Q)
|
100% |
4125
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2019
15.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3669
28.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
4693
36.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4534
5.83 IPS |
|
|
Style Transfer (HP)
|
100% |
7085
9.11 IPS |
|
|
Style Transfer (Q)
|
98% |
11413
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
810
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1393
51.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2434
90.1 IPS |
|
|
Text Classification (SP)
|
71% |
475
686.7 IPS |
|
|
Text Classification (HP)
|
71% |
592
856.6 IPS |
|
|
Text Classification (Q)
|
92% |
623
837.1 IPS |
|
|
Machine Translation (SP)
|
100% |
506
8.71 IPS |
|
|
Machine Translation (HP)
|
98% |
783
13.5 IPS |
|
|
Machine Translation (Q)
|
100% |
784
13.5 IPS |
