AZW MINI S
Geekbench AI Score
637
Single Precision Score
641
Half Precision Score
1351
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | WitzAbout |
| Upload Date | August 06 2025 04:53 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) 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% |
411
76.4 IPS |
|
|
Image Classification (HP)
|
100% |
395
73.5 IPS |
|
|
Image Classification (Q)
|
100% |
874
162.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
455
7.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
466
7.55 IPS |
|
|
Image Segmentation (Q)
|
99% |
936
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
738
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
723
0.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
1865
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
335
26.5 IPS |
|
|
Object Detection (HP)
|
100% |
337
26.7 IPS |
|
|
Object Detection (Q)
|
88% |
847
67.9 IPS |
|
|
Face Detection (SP)
|
100% |
1000
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
999
11.9 IPS |
|
|
Face Detection (Q)
|
100% |
2095
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
884
6.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
886
6.82 IPS |
|
|
Depth Estimation (Q)
|
89% |
2088
16.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1894
2.43 IPS |
|
|
Style Transfer (HP)
|
100% |
2024
2.60 IPS |
|
|
Style Transfer (Q)
|
98% |
5091
6.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
411
15.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
417
15.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1074
39.8 IPS |
|
|
Text Classification (SP)
|
100% |
460
614.0 IPS |
|
|
Text Classification (HP)
|
100% |
470
626.7 IPS |
|
|
Text Classification (Q)
|
92% |
886
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (Q)
|
100% |
745
12.8 IPS |
