Google Pixel 10 Pro
Geekbench AI Score
2130
Single Precision Score
2116
Half Precision Score
3525
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 14 2025 02:34 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 |
| 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% |
1872
348.1 IPS |
|
|
Image Classification (HP)
|
100% |
2153
400.3 IPS |
|
|
Image Classification (Q)
|
100% |
3968
737.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4214
68.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4348
5.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
4175
4.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
9740
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
1669
132.9 IPS |
|
|
Object Detection (HP)
|
98% |
1690
134.5 IPS |
|
|
Object Detection (Q)
|
83% |
2855
230.6 IPS |
|
|
Face Detection (SP)
|
100% |
3507
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
3160
37.6 IPS |
|
|
Face Detection (Q)
|
95% |
6672
79.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3353
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3158
24.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5312
48.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5962
7.74 IPS |
|
|
Style Transfer (HP)
|
89% |
6048
7.85 IPS |
|
|
Style Transfer (Q)
|
98% |
14136
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1373
50.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1358
50.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3377
125.1 IPS |
|
|
Text Classification (SP)
|
100% |
607
810.0 IPS |
|
|
Text Classification (HP)
|
99% |
597
796.9 IPS |
|
|
Text Classification (Q)
|
88% |
884
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (Q)
|
50% |
426
15.1 IPS |
