Google Pixel 10 Pro XL
Geekbench AI Score
443
Single Precision Score
917
Half Precision Score
3525
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | December 22 2025 08:57 PM |
| Views | 3 |
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 | 15.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
323
60.1 IPS |
|
|
Image Classification (HP)
|
100% |
324
60.2 IPS |
|
|
Image Classification (Q)
|
99% |
4138
771.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
405
6.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
408
6.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
10297
167.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
522
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
360
0.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
2993
3.51 IPS |
|
|
Object Detection (SP)
|
100% |
250
19.8 IPS |
|
|
Object Detection (HP)
|
100% |
270
21.5 IPS |
|
|
Object Detection (Q)
|
87% |
3483
279.4 IPS |
|
|
Face Detection (SP)
|
100% |
474
5.64 IPS |
|
|
Face Detection (HP)
|
100% |
617
7.33 IPS |
|
|
Face Detection (Q)
|
97% |
17469
208.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
540
4.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
26753
206.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
28453
261.9 IPS |
|
|
Style Transfer (SP)
|
100% |
868
1.12 IPS |
|
|
Style Transfer (HP)
|
100% |
866
1.11 IPS |
|
|
Style Transfer (Q)
|
98% |
3948
5.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9151
337.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12223
452.9 IPS |
|
|
Text Classification (SP)
|
100% |
422
562.7 IPS |
|
|
Text Classification (HP)
|
100% |
420
560.3 IPS |
|
|
Text Classification (Q)
|
91% |
138
186.1 IPS |
|
|
Machine Translation (SP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
599
10.3 IPS |
|
|
Machine Translation (Q)
|
57% |
202
4.94 IPS |
