AZW MINI S
Geekbench AI Score
919
Single Precision Score
486
Half Precision Score
1261
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 29 2024 10:48 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | AZW MINI S |
| Motherboard | AZW MINI S |
| 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% |
632
117.5 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (Q)
|
99% |
1074
200.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
493
7.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
720
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1163
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
885
1.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
2440
2.86 IPS |
|
|
Object Detection (SP)
|
100% |
606
48.1 IPS |
|
|
Object Detection (HP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (Q)
|
86% |
982
79.0 IPS |
|
|
Face Detection (SP)
|
100% |
1426
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
585
6.95 IPS |
|
|
Face Detection (Q)
|
97% |
2232
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1603
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
697
5.37 IPS |
|
|
Depth Estimation (Q)
|
78% |
2613
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2947
3.79 IPS |
|
|
Style Transfer (HP)
|
100% |
2127
2.73 IPS |
|
|
Style Transfer (Q)
|
98% |
4379
5.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
626
23.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
486
17.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1017
37.7 IPS |
|
|
Text Classification (SP)
|
100% |
555
740.5 IPS |
|
|
Text Classification (HP)
|
100% |
331
442.4 IPS |
|
|
Text Classification (Q)
|
97% |
220
295.1 IPS |
|
|
Machine Translation (SP)
|
100% |
843
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
345
5.95 IPS |
|
|
Machine Translation (Q)
|
65% |
962
19.3 IPS |
