Google Pixel 10 Pro XL
Geekbench AI Score
729
Single Precision Score
1011
Half Precision Score
971
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | August 25 2025 06:09 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
436
81.0 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (Q)
|
99% |
409
76.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
626
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
871
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
852
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
772
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1453
1.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
1439
1.69 IPS |
|
|
Object Detection (SP)
|
100% |
317
25.2 IPS |
|
|
Object Detection (HP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (Q)
|
86% |
457
36.7 IPS |
|
|
Face Detection (SP)
|
100% |
1344
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
1943
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
1752
20.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1074
8.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
1739
13.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1432
13.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2445
3.14 IPS |
|
|
Style Transfer (HP)
|
100% |
4293
5.52 IPS |
|
|
Style Transfer (Q)
|
98% |
4253
5.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
472
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
756
27.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
716
26.5 IPS |
|
|
Text Classification (SP)
|
100% |
542
722.8 IPS |
|
|
Text Classification (HP)
|
100% |
545
727.4 IPS |
|
|
Text Classification (Q)
|
91% |
880
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (Q)
|
57% |
486
11.9 IPS |
