Google Pixel 10 Pro Fold
Geekbench AI Score
2540
Single Precision Score
2512
Half Precision Score
4187
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 10:19 AM |
| Views | 2 |
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% |
1822
338.8 IPS |
|
|
Image Classification (HP)
|
100% |
2047
380.7 IPS |
|
|
Image Classification (Q)
|
100% |
3577
665.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4187
68.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4262
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
4148
4.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
9953
11.8 IPS |
|
|
Object Detection (SP)
|
98% |
1777
141.5 IPS |
|
|
Object Detection (HP)
|
98% |
1736
138.1 IPS |
|
|
Object Detection (Q)
|
83% |
2895
233.9 IPS |
|
|
Face Detection (SP)
|
100% |
3340
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
3114
37.0 IPS |
|
|
Face Detection (Q)
|
95% |
6710
80.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3776
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3798
29.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5984
54.8 IPS |
|
|
Style Transfer (SP)
|
89% |
9701
12.6 IPS |
|
|
Style Transfer (HP)
|
89% |
9727
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20228
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1973
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2021
74.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4350
161.2 IPS |
|
|
Text Classification (SP)
|
100% |
855
1.14 KIPS |
|
|
Text Classification (HP)
|
99% |
887
1.18 KIPS |
|
|
Text Classification (Q)
|
88% |
1288
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1646
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1403
24.2 IPS |
|
|
Machine Translation (Q)
|
50% |
845
30.0 IPS |
