Google Pixel 10 Pro XL
Geekbench AI Score
2527
Single Precision Score
2550
Half Precision Score
3901
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | vexrypt |
| Upload Date | December 17 2025 11:45 PM |
| Views | 1 |
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 | 15.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1894
352.2 IPS |
|
|
Image Classification (HP)
|
100% |
2087
388.0 IPS |
|
|
Image Classification (Q)
|
100% |
3966
737.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4089
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4161
4.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
4113
4.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
9808
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
1865
148.4 IPS |
|
|
Object Detection (HP)
|
98% |
1892
150.5 IPS |
|
|
Object Detection (Q)
|
83% |
2219
179.3 IPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
2991
35.5 IPS |
|
|
Face Detection (Q)
|
95% |
6238
74.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3651
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3665
28.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5862
53.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8957
11.6 IPS |
|
|
Style Transfer (HP)
|
89% |
9571
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15658
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1885
69.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2099
77.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5384
199.5 IPS |
|
|
Text Classification (SP)
|
100% |
994
1.33 KIPS |
|
|
Text Classification (HP)
|
99% |
966
1.29 KIPS |
|
|
Text Classification (Q)
|
88% |
1571
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1581
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1443
24.9 IPS |
|
|
Machine Translation (Q)
|
50% |
478
17.0 IPS |
