Google Pixel 10 Pro XL
Geekbench AI Score
2485
Single Precision Score
2471
Half Precision Score
4115
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 20 2026 11:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G5 |
| 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% |
1870
347.7 IPS |
|
|
Image Classification (HP)
|
100% |
1873
348.2 IPS |
|
|
Image Classification (Q)
|
100% |
3558
661.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2233
36.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4217
68.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4134
4.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4100
4.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
9556
11.3 IPS |
|
|
Object Detection (SP)
|
98% |
1723
137.1 IPS |
|
|
Object Detection (HP)
|
98% |
1760
140.0 IPS |
|
|
Object Detection (Q)
|
83% |
2416
195.2 IPS |
|
|
Face Detection (SP)
|
100% |
3131
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (Q)
|
95% |
6674
79.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3603
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3640
28.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5862
53.7 IPS |
|
|
Style Transfer (SP)
|
89% |
9252
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9392
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19845
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1939
71.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1947
71.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4594
170.2 IPS |
|
|
Text Classification (SP)
|
100% |
870
1.16 KIPS |
|
|
Text Classification (HP)
|
99% |
893
1.19 KIPS |
|
|
Text Classification (Q)
|
88% |
1677
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1612
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1573
27.1 IPS |
|
|
Machine Translation (Q)
|
50% |
673
23.9 IPS |
