AAEON GENE-ADP6
Geekbench AI Score
913
Single Precision Score
911
Half Precision Score
1298
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 04:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-1270PE |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | AAEON GENE-ADP6 |
| Motherboard | AAEON GENE-ADP6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1270PE |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
395
73.4 IPS |
|
|
Image Classification (HP)
|
100% |
387
71.9 IPS |
|
|
Image Classification (Q)
|
100% |
1287
239.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
691
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1044
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1125
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1252
1.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
3634
4.26 IPS |
|
|
Object Detection (SP)
|
100% |
534
42.4 IPS |
|
|
Object Detection (HP)
|
100% |
511
40.6 IPS |
|
|
Object Detection (Q)
|
88% |
1388
111.2 IPS |
|
|
Face Detection (SP)
|
100% |
1633
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
1695
20.1 IPS |
|
|
Face Detection (Q)
|
100% |
1113
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1515
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1511
11.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
1872
14.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4107
5.28 IPS |
|
|
Style Transfer (HP)
|
100% |
3941
5.07 IPS |
|
|
Style Transfer (Q)
|
98% |
5308
6.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
709
26.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
697
25.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
570
21.1 IPS |
|
|
Text Classification (SP)
|
100% |
466
622.3 IPS |
|
|
Text Classification (HP)
|
100% |
469
625.5 IPS |
|
|
Text Classification (Q)
|
92% |
433
581.4 IPS |
|
|
Machine Translation (SP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
723
12.4 IPS |
|
|
Machine Translation (Q)
|
100% |
737
12.7 IPS |
