Google Pixel 10 Pro XL
Geekbench AI Score
530
Single Precision Score
1045
Half Precision Score
3833
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 12:26 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% |
325
60.4 IPS |
|
|
Image Classification (HP)
|
100% |
329
61.2 IPS |
|
|
Image Classification (Q)
|
99% |
2337
436.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
422
6.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
424
6.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
10519
171.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
539
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
542
0.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
3907
4.58 IPS |
|
|
Object Detection (SP)
|
100% |
324
25.7 IPS |
|
|
Object Detection (HP)
|
100% |
327
26.0 IPS |
|
|
Object Detection (Q)
|
87% |
3383
271.4 IPS |
|
|
Face Detection (SP)
|
100% |
731
8.69 IPS |
|
|
Face Detection (HP)
|
100% |
733
8.71 IPS |
|
|
Face Detection (Q)
|
97% |
19342
230.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
678
5.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
24472
188.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
28940
266.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1019
1.31 IPS |
|
|
Style Transfer (HP)
|
100% |
1016
1.31 IPS |
|
|
Style Transfer (Q)
|
98% |
4229
5.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
379
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8949
330.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12240
453.6 IPS |
|
|
Text Classification (SP)
|
100% |
537
716.4 IPS |
|
|
Text Classification (HP)
|
100% |
541
721.9 IPS |
|
|
Text Classification (Q)
|
91% |
398
535.5 IPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (Q)
|
57% |
183
4.47 IPS |
