AZW MINI S
Geekbench AI Score
682
Single Precision Score
728
Half Precision Score
484
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | nwisecup |
| Upload Date | December 28 2024 01:34 AM |
| 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 | High performance |
| 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% |
311
57.8 IPS |
|
|
Image Classification (HP)
|
100% |
321
59.8 IPS |
|
|
Image Classification (Q)
|
100% |
264
49.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
422
6.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
471
7.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
329
5.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
1856
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2195
2.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
1377
1.61 IPS |
|
|
Object Detection (SP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (HP)
|
98% |
305
24.3 IPS |
|
|
Object Detection (Q)
|
86% |
289
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
650
7.73 IPS |
|
|
Face Detection (HP)
|
100% |
729
8.66 IPS |
|
|
Face Detection (Q)
|
97% |
525
6.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
1257
9.68 IPS |
|
|
Depth Estimation (HP)
|
98% |
1391
10.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
955
7.65 IPS |
|
|
Style Transfer (SP)
|
100% |
3957
5.09 IPS |
|
|
Style Transfer (HP)
|
100% |
5556
7.14 IPS |
|
|
Style Transfer (Q)
|
98% |
3038
3.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
707
26.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1005
37.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
392
14.5 IPS |
|
|
Text Classification (SP)
|
100% |
350
467.7 IPS |
|
|
Text Classification (HP)
|
100% |
226
301.8 IPS |
|
|
Text Classification (Q)
|
97% |
189
253.0 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (HP)
|
100% |
327
5.64 IPS |
|
|
Machine Translation (Q)
|
70% |
181
3.40 IPS |
