Google Pixel 10 Pro XL
Geekbench AI Score
2665
Single Precision Score
2672
Half Precision Score
4522
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 16 2026 06:38 PM |
| Views | 3 |
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 | 15.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1960
364.4 IPS |
|
|
Image Classification (HP)
|
100% |
2027
376.9 IPS |
|
|
Image Classification (Q)
|
100% |
3513
653.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2426
39.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4172
67.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4353
5.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
4306
5.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
10452
12.4 IPS |
|
|
Object Detection (SP)
|
98% |
1986
158.0 IPS |
|
|
Object Detection (HP)
|
98% |
1831
145.7 IPS |
|
|
Object Detection (Q)
|
83% |
3034
245.0 IPS |
|
|
Face Detection (SP)
|
100% |
3488
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
3540
42.1 IPS |
|
|
Face Detection (Q)
|
95% |
7946
94.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3589
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3857
29.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
7670
70.3 IPS |
|
|
Style Transfer (SP)
|
89% |
10044
13.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9499
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21535
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2118
78.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2229
82.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5241
194.2 IPS |
|
|
Text Classification (SP)
|
100% |
1028
1.37 KIPS |
|
|
Text Classification (HP)
|
99% |
1012
1.35 KIPS |
|
|
Text Classification (Q)
|
88% |
1388
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1665
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1637
28.2 IPS |
|
|
Machine Translation (Q)
|
50% |
807
28.6 IPS |
