Google Pixel 10 Pro Fold
Geekbench AI Score
2514
Single Precision Score
2544
Half Precision Score
3704
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | idanbo |
| Upload Date | October 08 2025 01:57 PM |
| Views | 10 |
| Notes | Google Pixel 10 Pro Fold/16 GB RAM/256 GB SSD |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 10 Pro Fold |
| Model ID | Google Pixel 10 Pro Fold |
| Motherboard | rango |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.25 GHz |
| Cluster 1 | 2 Cores @ 2.25 GHz |
| Cluster 2 | 5 Cores @ 3.05 GHz |
| Cluster 3 | 1 Core @ 3.78 GHz |
| Memory Information | |
|---|---|
| Size | 15.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1829
340.1 IPS |
|
|
Image Classification (HP)
|
100% |
2121
394.4 IPS |
|
|
Image Classification (Q)
|
100% |
3914
727.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2364
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2417
39.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4233
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4240
4.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
4147
4.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
9941
11.8 IPS |
|
|
Object Detection (SP)
|
98% |
1776
141.4 IPS |
|
|
Object Detection (HP)
|
98% |
1775
141.2 IPS |
|
|
Object Detection (Q)
|
83% |
2700
218.1 IPS |
|
|
Face Detection (SP)
|
100% |
3150
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (Q)
|
95% |
6865
82.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3596
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3598
27.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
6384
58.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9794
12.7 IPS |
|
|
Style Transfer (HP)
|
89% |
9808
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19821
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1885
69.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2041
75.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2891
107.1 IPS |
|
|
Text Classification (SP)
|
100% |
932
1.24 KIPS |
|
|
Text Classification (HP)
|
99% |
893
1.19 KIPS |
|
|
Text Classification (Q)
|
88% |
1287
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1595
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1485
25.6 IPS |
|
|
Machine Translation (Q)
|
50% |
339
12.0 IPS |
