Google Pixel 10 Pro XL
Geekbench AI Score
530
Single Precision Score
1091
Half Precision Score
4487
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 07 2025 09:59 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
329
61.3 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.7 IPS |
|
|
Image Classification (Q)
|
99% |
7684
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
426
6.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
428
6.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
10312
167.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
536
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
546
0.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
3953
4.63 IPS |
|
|
Object Detection (SP)
|
100% |
328
26.0 IPS |
|
|
Object Detection (HP)
|
100% |
329
26.1 IPS |
|
|
Object Detection (Q)
|
87% |
2333
187.1 IPS |
|
|
Face Detection (SP)
|
100% |
735
8.73 IPS |
|
|
Face Detection (HP)
|
100% |
738
8.77 IPS |
|
|
Face Detection (Q)
|
97% |
17169
204.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
669
5.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
32702
251.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
31075
286.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1023
1.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1016
1.31 IPS |
|
|
Style Transfer (Q)
|
98% |
4214
5.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
376
13.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9897
365.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12095
448.2 IPS |
|
|
Text Classification (SP)
|
100% |
540
720.9 IPS |
|
|
Text Classification (HP)
|
100% |
541
722.5 IPS |
|
|
Text Classification (Q)
|
91% |
426
572.1 IPS |
|
|
Machine Translation (SP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (Q)
|
57% |
391
9.56 IPS |
