Google Pixel 10 Pro XL
Geekbench AI Score
2311
Single Precision Score
2191
Half Precision Score
3419
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Alan156 |
| Upload Date | October 22 2025 10:07 PM |
| Views | 3 |
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% |
2130
396.0 IPS |
|
|
Image Classification (HP)
|
100% |
1978
367.9 IPS |
|
|
Image Classification (Q)
|
100% |
3878
721.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2048
33.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4009
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4139
4.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
4022
4.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
9554
11.3 IPS |
|
|
Object Detection (SP)
|
98% |
1687
134.2 IPS |
|
|
Object Detection (HP)
|
98% |
1697
135.0 IPS |
|
|
Object Detection (Q)
|
83% |
2559
206.7 IPS |
|
|
Face Detection (SP)
|
100% |
3389
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
3179
37.8 IPS |
|
|
Face Detection (Q)
|
95% |
5667
67.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3512
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3498
27.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5635
51.6 IPS |
|
|
Style Transfer (SP)
|
89% |
9530
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
7940
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16904
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1645
60.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1710
63.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3940
146.0 IPS |
|
|
Text Classification (SP)
|
100% |
699
932.6 IPS |
|
|
Text Classification (HP)
|
99% |
680
908.3 IPS |
|
|
Text Classification (Q)
|
88% |
821
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
957
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (Q)
|
50% |
329
11.7 IPS |
