Google Pixel 10 Pro XL
Geekbench AI Score
476
Single Precision Score
952
Half Precision Score
3552
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | December 22 2025 09:29 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G5 |
| 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 | 14.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
314
58.4 IPS |
|
|
Image Classification (HP)
|
100% |
315
58.7 IPS |
|
|
Image Classification (Q)
|
99% |
4241
790.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
404
6.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
405
6.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
11054
179.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
518
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
515
0.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
2343
2.75 IPS |
|
|
Object Detection (SP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (HP)
|
100% |
243
19.3 IPS |
|
|
Object Detection (Q)
|
87% |
2513
201.6 IPS |
|
|
Face Detection (SP)
|
100% |
629
7.47 IPS |
|
|
Face Detection (HP)
|
100% |
588
6.99 IPS |
|
|
Face Detection (Q)
|
97% |
16140
192.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
591
4.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
25758
198.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
32511
299.3 IPS |
|
|
Style Transfer (SP)
|
100% |
901
1.16 IPS |
|
|
Style Transfer (HP)
|
100% |
937
1.20 IPS |
|
|
Style Transfer (Q)
|
98% |
3957
5.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
333
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8989
331.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12121
449.1 IPS |
|
|
Text Classification (SP)
|
100% |
458
611.4 IPS |
|
|
Text Classification (HP)
|
100% |
476
635.0 IPS |
|
|
Text Classification (Q)
|
91% |
227
305.1 IPS |
|
|
Machine Translation (SP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (Q)
|
57% |
203
4.96 IPS |
