AZW EQ
Geekbench AI Score
1083
Single Precision Score
1663
Half Precision Score
2386
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 03:03 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% |
671
124.8 IPS |
|
|
Image Classification (HP)
|
100% |
1131
210.4 IPS |
|
|
Image Classification (Q)
|
99% |
1548
288.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
948
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1742
28.2 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% |
4608
5.39 IPS |
|
|
Object Detection (SP)
|
100% |
615
48.8 IPS |
|
|
Object Detection (HP)
|
99% |
1059
84.0 IPS |
|
|
Object Detection (Q)
|
90% |
1684
134.6 IPS |
|
|
Face Detection (SP)
|
100% |
2021
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
3515
41.8 IPS |
|
|
Face Detection (Q)
|
100% |
4100
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2018
15.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3673
28.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
4683
36.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4532
5.83 IPS |
|
|
Style Transfer (HP)
|
100% |
7000
9.00 IPS |
|
|
Style Transfer (Q)
|
98% |
11383
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
809
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1384
51.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2412
89.3 IPS |
|
|
Text Classification (SP)
|
71% |
469
677.7 IPS |
|
|
Text Classification (HP)
|
71% |
586
847.0 IPS |
|
|
Text Classification (Q)
|
92% |
608
816.8 IPS |
|
|
Machine Translation (SP)
|
100% |
507
8.73 IPS |
|
|
Machine Translation (HP)
|
98% |
788
13.6 IPS |
|
|
Machine Translation (Q)
|
100% |
782
13.5 IPS |
