AZW MINI S
Geekbench AI Score
623
Single Precision Score
337
Half Precision Score
1133
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | WitzAbout |
| Upload Date | August 06 2025 04:24 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel N100 |
| 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% |
469
87.2 IPS |
|
|
Image Classification (HP)
|
100% |
165
30.7 IPS |
|
|
Image Classification (Q)
|
99% |
846
157.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
381
6.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
247
4.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
1119
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
918
1.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
663
0.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
1961
2.30 IPS |
|
|
Object Detection (SP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (HP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (Q)
|
86% |
775
62.3 IPS |
|
|
Face Detection (SP)
|
100% |
975
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
412
4.89 IPS |
|
|
Face Detection (Q)
|
97% |
1811
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1010
7.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
455
3.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
1770
14.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1914
2.46 IPS |
|
|
Style Transfer (HP)
|
100% |
1481
1.90 IPS |
|
|
Style Transfer (Q)
|
98% |
3242
4.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
383
14.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
297
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
794
29.4 IPS |
|
|
Text Classification (SP)
|
100% |
357
477.0 IPS |
|
|
Text Classification (HP)
|
100% |
188
251.6 IPS |
|
|
Text Classification (Q)
|
97% |
467
625.7 IPS |
|
|
Machine Translation (SP)
|
100% |
548
9.44 IPS |
|
|
Machine Translation (HP)
|
100% |
246
4.23 IPS |
|
|
Machine Translation (Q)
|
65% |
632
12.7 IPS |
