AZW EQ
Geekbench AI Score
783
Single Precision Score
431
Half Precision Score
1189
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 09:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | AZW EQ |
| Motherboard | AZW EQ |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
563
104.8 IPS |
|
|
Image Classification (HP)
|
100% |
212
39.5 IPS |
|
|
Image Classification (Q)
|
99% |
1004
187.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
460
7.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
288
4.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
709
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1004
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
755
0.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
2257
2.65 IPS |
|
|
Object Detection (SP)
|
100% |
497
39.4 IPS |
|
|
Object Detection (HP)
|
100% |
231
18.4 IPS |
|
|
Object Detection (Q)
|
86% |
897
72.1 IPS |
|
|
Face Detection (SP)
|
100% |
1299
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
540
6.42 IPS |
|
|
Face Detection (Q)
|
97% |
2025
24.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1263
9.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
609
4.69 IPS |
|
|
Depth Estimation (Q)
|
78% |
2405
19.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2384
3.06 IPS |
|
|
Style Transfer (HP)
|
100% |
1785
2.29 IPS |
|
|
Style Transfer (Q)
|
98% |
4309
5.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
501
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
390
14.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
950
35.2 IPS |
|
|
Text Classification (SP)
|
100% |
453
604.8 IPS |
|
|
Text Classification (HP)
|
100% |
288
383.9 IPS |
|
|
Text Classification (Q)
|
97% |
216
289.2 IPS |
|
|
Machine Translation (SP)
|
100% |
761
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.52 IPS |
|
|
Machine Translation (Q)
|
65% |
913
18.3 IPS |
