AZW MINI S
Geekbench AI Score
616
Single Precision Score
650
Half Precision Score
435
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | WitzAbout |
| Upload Date | August 06 2025 04:46 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
282
52.4 IPS |
|
|
Image Classification (HP)
|
100% |
286
53.2 IPS |
|
|
Image Classification (Q)
|
100% |
239
44.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
383
6.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
431
6.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
300
4.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
1683
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
1945
2.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
1243
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
306
24.2 IPS |
|
|
Object Detection (HP)
|
98% |
274
21.8 IPS |
|
|
Object Detection (Q)
|
86% |
261
21.0 IPS |
|
|
Face Detection (SP)
|
100% |
613
7.29 IPS |
|
|
Face Detection (HP)
|
100% |
667
7.92 IPS |
|
|
Face Detection (Q)
|
97% |
469
5.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
1131
8.71 IPS |
|
|
Depth Estimation (HP)
|
98% |
1251
9.67 IPS |
|
|
Depth Estimation (Q)
|
77% |
857
6.86 IPS |
|
|
Style Transfer (SP)
|
100% |
3595
4.62 IPS |
|
|
Style Transfer (HP)
|
100% |
5018
6.45 IPS |
|
|
Style Transfer (Q)
|
98% |
2733
3.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
635
23.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
909
33.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
353
13.1 IPS |
|
|
Text Classification (SP)
|
100% |
292
390.3 IPS |
|
|
Text Classification (HP)
|
100% |
180
240.6 IPS |
|
|
Text Classification (Q)
|
97% |
164
220.2 IPS |
|
|
Machine Translation (SP)
|
100% |
310
5.34 IPS |
|
|
Machine Translation (HP)
|
100% |
302
5.19 IPS |
|
|
Machine Translation (Q)
|
70% |
165
3.09 IPS |
