Google Pixel 10 Pro
Geekbench AI Score
1923
Single Precision Score
2003
Half Precision Score
3189
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 10 2025 06:19 AM |
| Views | 4 |
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 | 15.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1794
333.5 IPS |
|
|
Image Classification (HP)
|
100% |
2099
390.4 IPS |
|
|
Image Classification (Q)
|
100% |
3304
614.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2236
36.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3623
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3998
4.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
3869
4.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
9584
11.4 IPS |
|
|
Object Detection (SP)
|
98% |
1744
138.8 IPS |
|
|
Object Detection (HP)
|
98% |
1727
137.4 IPS |
|
|
Object Detection (Q)
|
83% |
2509
202.7 IPS |
|
|
Face Detection (SP)
|
100% |
2703
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
2755
32.7 IPS |
|
|
Face Detection (Q)
|
95% |
5586
66.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2452
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2540
19.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4434
40.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6400
8.31 IPS |
|
|
Style Transfer (HP)
|
89% |
5398
7.01 IPS |
|
|
Style Transfer (Q)
|
98% |
12501
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1353
50.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1354
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3351
124.2 IPS |
|
|
Text Classification (SP)
|
100% |
588
785.5 IPS |
|
|
Text Classification (HP)
|
99% |
633
844.9 IPS |
|
|
Text Classification (Q)
|
88% |
984
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (Q)
|
50% |
371
13.2 IPS |
