AZW EQ
Geekbench AI Score
1086
Single Precision Score
1664
Half Precision Score
2391
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 03:07 PM |
| Views | 4 |
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% |
1130
210.1 IPS |
|
|
Image Classification (Q)
|
99% |
1551
289.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
952
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2001
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1601
1.87 IPS |
|
|
Pose Estimation (HP)
|
99% |
1347
1.57 IPS |
|
|
Pose Estimation (Q)
|
97% |
4609
5.40 IPS |
|
|
Object Detection (SP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (HP)
|
99% |
1065
84.5 IPS |
|
|
Object Detection (Q)
|
90% |
1682
134.5 IPS |
|
|
Face Detection (SP)
|
100% |
2015
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
3508
41.7 IPS |
|
|
Face Detection (Q)
|
100% |
4095
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2023
15.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3671
28.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
4692
36.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4536
5.83 IPS |
|
|
Style Transfer (HP)
|
100% |
7069
9.09 IPS |
|
|
Style Transfer (Q)
|
98% |
11430
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
808
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1392
51.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2399
88.8 IPS |
|
|
Text Classification (SP)
|
71% |
472
683.0 IPS |
|
|
Text Classification (HP)
|
71% |
579
837.6 IPS |
|
|
Text Classification (Q)
|
92% |
615
826.1 IPS |
|
|
Machine Translation (SP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (HP)
|
98% |
786
13.6 IPS |
|
|
Machine Translation (Q)
|
100% |
785
13.5 IPS |
