Google Pixel 10 Pro XL
Geekbench AI Score
1828
Single Precision Score
1838
Half Precision Score
2711
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | aaronh95 |
| Upload Date | December 13 2025 03:07 AM |
| Views | 14 |
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 | 14.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1761
327.5 IPS |
|
|
Image Classification (HP)
|
100% |
1624
301.9 IPS |
|
|
Image Classification (Q)
|
100% |
3856
717.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2231
36.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3739
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3767
4.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3860
4.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
7032
8.34 IPS |
|
|
Object Detection (SP)
|
98% |
1464
116.5 IPS |
|
|
Object Detection (HP)
|
98% |
1421
113.1 IPS |
|
|
Object Detection (Q)
|
83% |
2130
172.1 IPS |
|
|
Face Detection (SP)
|
100% |
2354
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
2159
25.7 IPS |
|
|
Face Detection (Q)
|
95% |
3753
44.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2399
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2289
17.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3061
28.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4230
5.49 IPS |
|
|
Style Transfer (HP)
|
89% |
5890
7.65 IPS |
|
|
Style Transfer (Q)
|
98% |
8545
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1288
47.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1302
48.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3420
126.7 IPS |
|
|
Text Classification (SP)
|
100% |
592
789.9 IPS |
|
|
Text Classification (HP)
|
99% |
608
811.2 IPS |
|
|
Text Classification (Q)
|
88% |
841
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
965
16.6 IPS |
|
|
Machine Translation (Q)
|
50% |
352
12.5 IPS |
