Google Pixel 10 Pro XL
Geekbench AI Score
38
Single Precision Score
37
Half Precision Score
19
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 16 2026 06:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 15.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
52.3 IPS |
|
|
Image Classification (HP)
|
0% |
0
51.2 IPS |
|
|
Image Classification (Q)
|
0% |
0
49.0 IPS |
|
|
Image Segmentation (SP)
|
73% |
427
7.38 IPS |
|
|
Image Segmentation (HP)
|
73% |
427
7.38 IPS |
|
|
Image Segmentation (Q)
|
73% |
419
7.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
2273
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2252
2.63 IPS |
|
|
Pose Estimation (Q)
|
76% |
2113
2.58 IPS |
|
|
Object Detection (SP)
|
0% |
0
20.5 IPS |
|
|
Object Detection (HP)
|
0% |
0
21.0 IPS |
|
|
Object Detection (Q)
|
0% |
0
19.3 IPS |
|
|
Face Detection (SP)
|
0% |
0
14.0 IPS |
|
|
Face Detection (HP)
|
0% |
0
13.1 IPS |
|
|
Face Detection (Q)
|
0% |
0
12.1 IPS |
|
|
Depth Estimation (SP)
|
1% |
0
8.95 IPS |
|
|
Depth Estimation (HP)
|
1% |
0
8.76 IPS |
|
|
Depth Estimation (Q)
|
4% |
5
8.61 IPS |
|
|
Style Transfer (SP)
|
100% |
3701
4.76 IPS |
|
|
Style Transfer (HP)
|
100% |
3729
4.79 IPS |
|
|
Style Transfer (Q)
|
94% |
3600
4.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
867
32.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
876
32.3 IPS |
|
|
Image Super-Resolution (Q)
|
29% |
62
31.8 IPS |
|
|
Text Classification (SP)
|
35% |
16
149.6 IPS |
|
|
Text Classification (HP)
|
35% |
12
116.5 IPS |
|
|
Text Classification (Q)
|
31% |
10
133.5 IPS |
|
|
Machine Translation (SP)
|
100% |
152
2.62 IPS |
|
|
Machine Translation (HP)
|
100% |
148
2.55 IPS |
|
|
Machine Translation (Q)
|
0% |
0
0.43 IPS |
