Google Pixel 10 Pro XL
Geekbench AI Score
445
Single Precision Score
923
Half Precision Score
4494
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 19 2025 05:53 PM |
| Views | 1 |
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% |
282
52.5 IPS |
|
|
Image Classification (HP)
|
100% |
289
53.7 IPS |
|
|
Image Classification (Q)
|
99% |
7717
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
367
5.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
10833
176.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
391
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
396
0.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
3398
3.98 IPS |
|
|
Object Detection (SP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (HP)
|
100% |
264
21.0 IPS |
|
|
Object Detection (Q)
|
87% |
2410
193.3 IPS |
|
|
Face Detection (SP)
|
100% |
620
7.36 IPS |
|
|
Face Detection (HP)
|
100% |
598
7.10 IPS |
|
|
Face Detection (Q)
|
97% |
27395
326.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
546
4.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
31060
239.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
28653
263.8 IPS |
|
|
Style Transfer (SP)
|
100% |
886
1.14 IPS |
|
|
Style Transfer (HP)
|
100% |
872
1.12 IPS |
|
|
Style Transfer (Q)
|
98% |
3857
4.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8923
329.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12081
447.7 IPS |
|
|
Text Classification (SP)
|
100% |
457
610.6 IPS |
|
|
Text Classification (HP)
|
100% |
457
609.5 IPS |
|
|
Text Classification (Q)
|
91% |
415
557.4 IPS |
|
|
Machine Translation (SP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (Q)
|
57% |
324
7.92 IPS |
