Google Pixel 10 Pro XL
Geekbench AI Score
2095
Single Precision Score
2203
Half Precision Score
3440
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 05 2025 08:09 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 | 15.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1814
337.4 IPS |
|
|
Image Classification (HP)
|
100% |
1922
357.4 IPS |
|
|
Image Classification (Q)
|
100% |
3841
714.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1802
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2209
35.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4029
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3867
4.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
3788
4.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
8621
10.2 IPS |
|
|
Object Detection (SP)
|
98% |
1763
140.3 IPS |
|
|
Object Detection (HP)
|
98% |
1947
154.9 IPS |
|
|
Object Detection (Q)
|
83% |
3036
245.2 IPS |
|
|
Face Detection (SP)
|
100% |
3513
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
3516
41.8 IPS |
|
|
Face Detection (Q)
|
95% |
6968
83.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3674
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3609
27.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5926
54.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7909
10.3 IPS |
|
|
Style Transfer (HP)
|
89% |
8017
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
13979
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1506
55.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1511
55.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3594
133.2 IPS |
|
|
Text Classification (SP)
|
100% |
634
846.3 IPS |
|
|
Text Classification (HP)
|
99% |
595
794.7 IPS |
|
|
Text Classification (Q)
|
88% |
629
848.5 IPS |
|
|
Machine Translation (SP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (Q)
|
50% |
440
15.6 IPS |
