Google Pixel 10 Pro XL
Geekbench AI Score
2461
Single Precision Score
2505
Half Precision Score
3919
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 10 2025 03:59 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% |
1738
323.2 IPS |
|
|
Image Classification (HP)
|
100% |
2089
388.4 IPS |
|
|
Image Classification (Q)
|
100% |
3280
610.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2178
35.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4136
67.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4116
4.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
4146
4.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
9707
11.5 IPS |
|
|
Object Detection (SP)
|
98% |
1681
133.8 IPS |
|
|
Object Detection (HP)
|
98% |
1700
135.3 IPS |
|
|
Object Detection (Q)
|
83% |
2574
207.9 IPS |
|
|
Face Detection (SP)
|
100% |
3034
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
3196
38.0 IPS |
|
|
Face Detection (Q)
|
95% |
5332
63.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3563
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3806
29.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
6584
60.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9519
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8527
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17260
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1999
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1971
72.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4173
154.6 IPS |
|
|
Text Classification (SP)
|
100% |
894
1.19 KIPS |
|
|
Text Classification (HP)
|
99% |
924
1.23 KIPS |
|
|
Text Classification (Q)
|
88% |
1453
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1574
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1607
27.7 IPS |
|
|
Machine Translation (Q)
|
50% |
687
24.4 IPS |
