AZW MINI S
Geekbench AI Score
799
Single Precision Score
441
Half Precision Score
1364
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | BWFollis |
| Upload Date | August 10 2025 05:19 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% |
561
104.3 IPS |
|
|
Image Classification (HP)
|
100% |
193
36.0 IPS |
|
|
Image Classification (Q)
|
99% |
684
127.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
351
5.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
277
4.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
1266
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1060
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
821
0.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
2227
2.61 IPS |
|
|
Object Detection (SP)
|
100% |
522
41.4 IPS |
|
|
Object Detection (HP)
|
100% |
230
18.3 IPS |
|
|
Object Detection (Q)
|
86% |
996
80.0 IPS |
|
|
Face Detection (SP)
|
100% |
1266
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
514
6.11 IPS |
|
|
Face Detection (Q)
|
97% |
2071
24.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1395
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
621
4.78 IPS |
|
|
Depth Estimation (Q)
|
78% |
2267
18.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2669
3.43 IPS |
|
|
Style Transfer (HP)
|
100% |
1988
2.56 IPS |
|
|
Style Transfer (Q)
|
98% |
3911
5.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
542
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
425
15.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1027
38.0 IPS |
|
|
Text Classification (SP)
|
100% |
495
660.0 IPS |
|
|
Text Classification (HP)
|
100% |
318
424.8 IPS |
|
|
Text Classification (Q)
|
97% |
617
826.3 IPS |
|
|
Machine Translation (SP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (Q)
|
65% |
1002
20.1 IPS |
