AYANEO Pocket S2 Pro
Geekbench AI Score
2595
Single Precision Score
4173
Half Precision Score
3353
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | sunflower2333 |
| Upload Date | December 02 2025 06:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1552
288.6 IPS |
|
|
Image Classification (HP)
|
100% |
2954
549.4 IPS |
|
|
Image Classification (Q)
|
100% |
2827
525.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3078
49.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5613
91.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5308
86.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11857
13.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
21305
24.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
21122
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (HP)
|
99% |
2248
178.3 IPS |
|
|
Object Detection (Q)
|
87% |
2132
171.2 IPS |
|
|
Face Detection (SP)
|
100% |
5037
59.8 IPS |
|
|
Face Detection (HP)
|
100% |
9073
107.8 IPS |
|
|
Face Detection (Q)
|
97% |
7599
90.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6012
46.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8869
68.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
7057
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14738
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32606
41.9 IPS |
|
|
Style Transfer (Q)
|
98% |
32113
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3509
129.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5747
212.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5664
209.9 IPS |
|
|
Text Classification (SP)
|
35% |
84
819.2 IPS |
|
|
Text Classification (HP)
|
35% |
121
1.10 KIPS |
|
|
Text Classification (Q)
|
33% |
91
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1299
22.4 IPS |
|
|
Machine Translation (HP)
|
97% |
1106
19.1 IPS |
|
|
Machine Translation (Q)
|
43% |
300
17.1 IPS |
