Google Pixel 10 Pro XL
Geekbench AI Score
1968
Single Precision Score
1900
Half Precision Score
3259
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 11:59 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 XL |
| Model ID | Google Pixel 10 Pro XL |
| Motherboard | mustang |
| 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% |
1751
325.7 IPS |
|
|
Image Classification (HP)
|
100% |
2017
375.1 IPS |
|
|
Image Classification (Q)
|
100% |
3046
566.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1823
29.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4095
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3761
4.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
3742
4.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
9919
11.8 IPS |
|
|
Object Detection (SP)
|
98% |
1826
145.3 IPS |
|
|
Object Detection (HP)
|
98% |
1712
136.2 IPS |
|
|
Object Detection (Q)
|
83% |
2806
226.6 IPS |
|
|
Face Detection (SP)
|
100% |
3105
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
2641
31.4 IPS |
|
|
Face Detection (Q)
|
95% |
6181
73.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3019
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2951
22.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5398
49.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4692
6.09 IPS |
|
|
Style Transfer (HP)
|
89% |
5351
6.95 IPS |
|
|
Style Transfer (Q)
|
98% |
11253
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1236
45.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1228
45.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2744
101.7 IPS |
|
|
Text Classification (SP)
|
100% |
633
844.5 IPS |
|
|
Text Classification (HP)
|
99% |
635
847.0 IPS |
|
|
Text Classification (Q)
|
88% |
865
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
801
13.8 IPS |
|
|
Machine Translation (Q)
|
50% |
438
15.5 IPS |
