Google Pixel 10 Pro XL
Geekbench AI Score
2121
Single Precision Score
2194
Half Precision Score
3404
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | idanbo |
| Upload Date | August 27 2025 04:00 PM |
| Views | 9 |
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% |
1758
326.9 IPS |
|
|
Image Classification (HP)
|
100% |
2101
390.6 IPS |
|
|
Image Classification (Q)
|
100% |
3708
689.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1899
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3912
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4026
4.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
3986
4.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
9443
11.2 IPS |
|
|
Object Detection (SP)
|
98% |
1639
130.4 IPS |
|
|
Object Detection (HP)
|
98% |
1647
131.0 IPS |
|
|
Object Detection (Q)
|
83% |
2290
185.0 IPS |
|
|
Face Detection (SP)
|
100% |
3126
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (Q)
|
95% |
5004
59.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3105
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3497
27.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
6872
62.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5316
6.90 IPS |
|
|
Style Transfer (HP)
|
89% |
5995
7.78 IPS |
|
|
Style Transfer (Q)
|
98% |
10170
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1867
68.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1750
64.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4559
168.9 IPS |
|
|
Text Classification (SP)
|
100% |
739
986.6 IPS |
|
|
Text Classification (HP)
|
99% |
735
981.6 IPS |
|
|
Text Classification (Q)
|
88% |
1034
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (Q)
|
50% |
405
14.4 IPS |
