Google Pixel 10 Pro
Geekbench AI Score
2264
Single Precision Score
2248
Half Precision Score
3401
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 15 2025 03:42 PM |
| Views | 3 |
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% |
1960
364.4 IPS |
|
|
Image Classification (HP)
|
100% |
2177
404.9 IPS |
|
|
Image Classification (Q)
|
100% |
3883
722.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2459
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2486
40.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4108
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4519
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
4362
5.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
10047
11.9 IPS |
|
|
Object Detection (SP)
|
98% |
1771
141.0 IPS |
|
|
Object Detection (HP)
|
98% |
1724
137.1 IPS |
|
|
Object Detection (Q)
|
83% |
2504
202.2 IPS |
|
|
Face Detection (SP)
|
100% |
3186
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
3130
37.2 IPS |
|
|
Face Detection (Q)
|
95% |
6285
75.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3407
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3741
28.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
6942
63.6 IPS |
|
|
Style Transfer (SP)
|
89% |
8507
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
7459
9.68 IPS |
|
|
Style Transfer (Q)
|
98% |
9225
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1421
52.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1363
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3284
121.7 IPS |
|
|
Text Classification (SP)
|
100% |
631
841.9 IPS |
|
|
Text Classification (HP)
|
99% |
638
851.2 IPS |
|
|
Text Classification (Q)
|
88% |
1011
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1109
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1067
18.4 IPS |
|
|
Machine Translation (Q)
|
50% |
387
13.7 IPS |
