Google Pixel 10 Pro
Geekbench AI Score
2116
Single Precision Score
2225
Half Precision Score
3185
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 12:19 PM |
| 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 |
| Model ID | Google Pixel 10 Pro |
| Motherboard | blazer |
| 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% |
1762
327.8 IPS |
|
|
Image Classification (HP)
|
100% |
2127
395.6 IPS |
|
|
Image Classification (Q)
|
100% |
3954
735.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2358
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4075
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4443
5.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4269
4.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
10019
11.9 IPS |
|
|
Object Detection (SP)
|
98% |
1648
131.1 IPS |
|
|
Object Detection (HP)
|
98% |
1656
131.8 IPS |
|
|
Object Detection (Q)
|
83% |
2767
223.5 IPS |
|
|
Face Detection (SP)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (Q)
|
95% |
6278
74.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3401
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3809
29.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
7302
66.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6260
8.13 IPS |
|
|
Style Transfer (HP)
|
89% |
8113
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
9683
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1433
52.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1378
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3414
126.5 IPS |
|
|
Text Classification (SP)
|
100% |
624
832.5 IPS |
|
|
Text Classification (HP)
|
99% |
636
848.3 IPS |
|
|
Text Classification (Q)
|
88% |
524
707.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1016
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (Q)
|
50% |
303
10.8 IPS |
