AYANEO Pocket S2 Pro
Geekbench AI Score
508
Single Precision Score
509
Half Precision Score
1148
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | sunflower2333 |
| Upload Date | December 02 2025 06:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | AYANEO Pocket S2 Pro |
| Model ID | AYANEO Pocket S2 Pro |
| Motherboard | pineapple |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
305
56.7 IPS |
|
|
Image Classification (HP)
|
100% |
308
57.3 IPS |
|
|
Image Classification (Q)
|
99% |
798
148.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
390
6.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
395
6.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
797
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
543
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
536
0.63 IPS |
|
|
Pose Estimation (Q)
|
98% |
2054
2.40 IPS |
|
|
Object Detection (SP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (HP)
|
100% |
301
23.8 IPS |
|
|
Object Detection (Q)
|
87% |
849
68.1 IPS |
|
|
Face Detection (SP)
|
100% |
745
8.86 IPS |
|
|
Face Detection (HP)
|
100% |
750
8.91 IPS |
|
|
Face Detection (Q)
|
97% |
1724
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
658
5.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
658
5.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
1578
14.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1063
1.37 IPS |
|
|
Style Transfer (HP)
|
100% |
1059
1.36 IPS |
|
|
Style Transfer (Q)
|
98% |
2622
3.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
353
13.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
352
13.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1169
43.3 IPS |
|
|
Text Classification (SP)
|
100% |
452
602.7 IPS |
|
|
Text Classification (HP)
|
100% |
457
610.3 IPS |
|
|
Text Classification (Q)
|
91% |
718
964.7 IPS |
|
|
Machine Translation (SP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (Q)
|
57% |
601
14.7 IPS |
