Google Pixel 10 Pro XL
Geekbench AI Score
431
Single Precision Score
830
Half Precision Score
3590
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | idanbo |
| Upload Date | August 27 2025 03:42 PM |
| Views | 7 |
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% |
324
60.3 IPS |
|
|
Image Classification (HP)
|
100% |
321
59.7 IPS |
|
|
Image Classification (Q)
|
99% |
2334
435.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
413
6.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
412
6.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
10273
167.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
496
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
334
0.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
2033
2.38 IPS |
|
|
Object Detection (SP)
|
100% |
236
18.7 IPS |
|
|
Object Detection (HP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (Q)
|
87% |
2441
195.8 IPS |
|
|
Face Detection (SP)
|
100% |
583
6.93 IPS |
|
|
Face Detection (HP)
|
100% |
468
5.56 IPS |
|
|
Face Detection (Q)
|
97% |
26271
313.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
441
3.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
25042
192.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
37644
346.5 IPS |
|
|
Style Transfer (SP)
|
100% |
763
0.98 IPS |
|
|
Style Transfer (HP)
|
100% |
758
0.97 IPS |
|
|
Style Transfer (Q)
|
98% |
3457
4.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
318
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9343
345.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12242
453.6 IPS |
|
|
Text Classification (SP)
|
100% |
392
523.5 IPS |
|
|
Text Classification (HP)
|
100% |
425
567.0 IPS |
|
|
Text Classification (Q)
|
91% |
402
540.1 IPS |
|
|
Machine Translation (SP)
|
100% |
582
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (Q)
|
57% |
178
4.35 IPS |
