Google Pixel 10 Pro XL
Geekbench AI Score
503
Single Precision Score
1005
Half Precision Score
3987
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 07 2025 11:32 AM |
| Views | 3 |
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% |
332
61.7 IPS |
|
|
Image Classification (HP)
|
100% |
334
62.1 IPS |
|
|
Image Classification (Q)
|
99% |
4499
839.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
426
6.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
430
6.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
10055
163.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
549
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
544
0.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
3962
4.64 IPS |
|
|
Object Detection (SP)
|
100% |
324
25.7 IPS |
|
|
Object Detection (HP)
|
100% |
326
25.8 IPS |
|
|
Object Detection (Q)
|
87% |
2398
192.4 IPS |
|
|
Face Detection (SP)
|
100% |
724
8.60 IPS |
|
|
Face Detection (HP)
|
100% |
729
8.66 IPS |
|
|
Face Detection (Q)
|
97% |
22872
272.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
642
4.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
24794
191.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
29272
269.5 IPS |
|
|
Style Transfer (SP)
|
100% |
997
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
988
1.27 IPS |
|
|
Style Transfer (Q)
|
98% |
4047
5.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
344
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8792
324.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12174
451.1 IPS |
|
|
Text Classification (SP)
|
100% |
378
505.1 IPS |
|
|
Text Classification (HP)
|
100% |
378
505.1 IPS |
|
|
Text Classification (Q)
|
91% |
379
509.1 IPS |
|
|
Machine Translation (SP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (Q)
|
57% |
189
4.62 IPS |
