Google Pixel 10 Pro XL
Geekbench AI Score
2113
Single Precision Score
2077
Half Precision Score
3277
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 10 2025 08:28 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% |
2105
391.4 IPS |
|
|
Image Classification (HP)
|
100% |
2090
388.7 IPS |
|
|
Image Classification (Q)
|
100% |
3232
601.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2084
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2017
32.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2700
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3916
4.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3914
4.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
9160
10.9 IPS |
|
|
Object Detection (SP)
|
98% |
1593
126.8 IPS |
|
|
Object Detection (HP)
|
98% |
1601
127.4 IPS |
|
|
Object Detection (Q)
|
83% |
2744
221.7 IPS |
|
|
Face Detection (SP)
|
100% |
3425
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
3159
37.5 IPS |
|
|
Face Detection (Q)
|
95% |
6223
74.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3116
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3405
26.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5948
54.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6322
8.21 IPS |
|
|
Style Transfer (HP)
|
89% |
7095
9.21 IPS |
|
|
Style Transfer (Q)
|
98% |
13056
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1666
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1490
55.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3960
146.8 IPS |
|
|
Text Classification (SP)
|
100% |
663
885.0 IPS |
|
|
Text Classification (HP)
|
99% |
627
837.3 IPS |
|
|
Text Classification (Q)
|
88% |
935
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (Q)
|
50% |
364
12.9 IPS |
