Google Pixel 10 Pro XL
Geekbench AI Score
2204
Single Precision Score
2163
Half Precision Score
3491
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 12:34 AM |
| Views | 2 |
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 | 14.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1766
328.5 IPS |
|
|
Image Classification (HP)
|
100% |
2051
381.5 IPS |
|
|
Image Classification (Q)
|
100% |
3791
705.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2263
36.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4076
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4133
4.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4025
4.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
9446
11.2 IPS |
|
|
Object Detection (SP)
|
98% |
1485
118.2 IPS |
|
|
Object Detection (HP)
|
98% |
1491
118.7 IPS |
|
|
Object Detection (Q)
|
83% |
2669
215.6 IPS |
|
|
Face Detection (SP)
|
100% |
3394
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
3299
39.2 IPS |
|
|
Face Detection (Q)
|
95% |
7346
87.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3546
27.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3429
26.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
6400
58.6 IPS |
|
|
Style Transfer (SP)
|
89% |
8726
11.3 IPS |
|
|
Style Transfer (HP)
|
89% |
7888
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
12115
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1545
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1428
52.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3693
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
633
845.4 IPS |
|
|
Text Classification (HP)
|
99% |
612
817.0 IPS |
|
|
Text Classification (Q)
|
88% |
879
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (Q)
|
50% |
374
13.3 IPS |
