Google Pixel 10 Pro
Geekbench AI Score
2579
Single Precision Score
2627
Half Precision Score
4521
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 05:14 PM |
| Views | 5 |
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% |
1752
325.8 IPS |
|
|
Image Classification (HP)
|
100% |
1756
326.6 IPS |
|
|
Image Classification (Q)
|
100% |
3899
725.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2369
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2277
36.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4208
68.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4457
5.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
4409
5.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
10452
12.4 IPS |
|
|
Object Detection (SP)
|
98% |
1933
153.8 IPS |
|
|
Object Detection (HP)
|
98% |
1891
150.5 IPS |
|
|
Object Detection (Q)
|
83% |
2844
229.7 IPS |
|
|
Face Detection (SP)
|
100% |
2998
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
3500
41.6 IPS |
|
|
Face Detection (Q)
|
95% |
7144
85.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3821
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3969
30.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
6929
63.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9936
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9794
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21287
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2065
76.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2132
78.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5045
186.9 IPS |
|
|
Text Classification (SP)
|
100% |
977
1.30 KIPS |
|
|
Text Classification (HP)
|
99% |
1010
1.35 KIPS |
|
|
Text Classification (Q)
|
88% |
1669
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1590
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1606
27.7 IPS |
|
|
Machine Translation (Q)
|
50% |
826
29.3 IPS |
