AZW MINI S
Geekbench AI Score
923
Single Precision Score
1466
Half Precision Score
2102
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | WitzAbout |
| Upload Date | August 06 2025 05:15 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW MINI S |
| Motherboard | AZW MINI S |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel N100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 800 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
584
108.6 IPS |
|
|
Image Classification (HP)
|
100% |
956
177.9 IPS |
|
|
Image Classification (Q)
|
99% |
1307
243.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
835
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1725
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1422
1.66 IPS |
|
|
Pose Estimation (HP)
|
99% |
1204
1.40 IPS |
|
|
Pose Estimation (Q)
|
97% |
4094
4.79 IPS |
|
|
Object Detection (SP)
|
100% |
538
42.7 IPS |
|
|
Object Detection (HP)
|
99% |
920
73.0 IPS |
|
|
Object Detection (Q)
|
90% |
1470
117.6 IPS |
|
|
Face Detection (SP)
|
100% |
1721
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
3059
36.4 IPS |
|
|
Face Detection (Q)
|
100% |
3613
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1789
13.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3227
24.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
4124
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4035
5.19 IPS |
|
|
Style Transfer (HP)
|
100% |
5977
7.68 IPS |
|
|
Style Transfer (Q)
|
98% |
10190
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
718
26.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1237
45.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2058
76.2 IPS |
|
|
Text Classification (SP)
|
71% |
360
521.4 IPS |
|
|
Text Classification (HP)
|
71% |
460
665.5 IPS |
|
|
Text Classification (Q)
|
92% |
483
648.7 IPS |
|
|
Machine Translation (SP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (HP)
|
98% |
840
14.5 IPS |
|
|
Machine Translation (Q)
|
100% |
826
14.2 IPS |
