Google Pixel 10 Pro Fold
Geekbench AI Score
425
Single Precision Score
840
Half Precision Score
3851
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | idanbo |
| Upload Date | October 08 2025 02:15 PM |
| Views | 10 |
| Notes | Google Pixel 10 Pro Fold/16 GB RAM/256 GB SSD |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
270
50.3 IPS |
|
|
Image Classification (HP)
|
100% |
172
32.1 IPS |
|
|
Image Classification (Q)
|
99% |
2589
482.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
372
6.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
360
5.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
10939
177.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
416
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
366
0.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
2223
2.60 IPS |
|
|
Object Detection (SP)
|
100% |
273
21.7 IPS |
|
|
Object Detection (HP)
|
100% |
249
19.7 IPS |
|
|
Object Detection (Q)
|
87% |
3561
285.7 IPS |
|
|
Face Detection (SP)
|
100% |
621
7.38 IPS |
|
|
Face Detection (HP)
|
100% |
627
7.45 IPS |
|
|
Face Detection (Q)
|
97% |
28490
339.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
582
4.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
25461
196.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
28480
262.2 IPS |
|
|
Style Transfer (SP)
|
100% |
908
1.17 IPS |
|
|
Style Transfer (HP)
|
100% |
796
1.02 IPS |
|
|
Style Transfer (Q)
|
98% |
3574
4.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
191
7.07 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9265
342.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12642
468.4 IPS |
|
|
Text Classification (SP)
|
100% |
425
567.1 IPS |
|
|
Text Classification (HP)
|
100% |
424
566.6 IPS |
|
|
Text Classification (Q)
|
91% |
410
551.1 IPS |
|
|
Machine Translation (SP)
|
100% |
646
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (Q)
|
57% |
213
5.20 IPS |
