Google Pixel 10 Pro XL
Geekbench AI Score
2198
Single Precision Score
2575
Half Precision Score
3842
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 07 2026 11:52 AM |
| Views | 12 |
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 | 14.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1755
326.4 IPS |
|
|
Image Classification (HP)
|
100% |
1623
301.8 IPS |
|
|
Image Classification (Q)
|
99% |
3665
683.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2254
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2082
33.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3986
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3804
4.44 IPS |
|
|
Pose Estimation (HP)
|
92% |
7815
9.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
9222
10.8 IPS |
|
|
Object Detection (SP)
|
98% |
1614
128.5 IPS |
|
|
Object Detection (HP)
|
97% |
1399
111.4 IPS |
|
|
Object Detection (Q)
|
85% |
3021
243.4 IPS |
|
|
Face Detection (SP)
|
100% |
3334
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
4568
54.3 IPS |
|
|
Face Detection (Q)
|
97% |
7368
87.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3804
29.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
6041
46.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
7031
64.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6926
8.99 IPS |
|
|
Style Transfer (HP)
|
88% |
8004
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15366
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1758
64.9 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1569
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4116
152.5 IPS |
|
|
Text Classification (SP)
|
100% |
689
920.1 IPS |
|
|
Text Classification (HP)
|
100% |
922
1.23 KIPS |
|
|
Text Classification (Q)
|
93% |
1015
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1020
17.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1088
18.8 IPS |
|
|
Machine Translation (Q)
|
55% |
519
13.9 IPS |
