Google Pixel 10 Pro XL
Geekbench AI Score
2464
Single Precision Score
2421
Half Precision Score
3574
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 03:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1834
341.1 IPS |
|
|
Image Classification (HP)
|
100% |
1947
362.0 IPS |
|
|
Image Classification (Q)
|
100% |
3524
655.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4059
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4214
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3953
4.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
9500
11.3 IPS |
|
|
Object Detection (SP)
|
98% |
1679
133.6 IPS |
|
|
Object Detection (HP)
|
98% |
1661
132.2 IPS |
|
|
Object Detection (Q)
|
83% |
2209
178.4 IPS |
|
|
Face Detection (SP)
|
100% |
2888
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
2949
35.0 IPS |
|
|
Face Detection (Q)
|
95% |
4675
55.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3771
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3775
29.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6069
55.6 IPS |
|
|
Style Transfer (SP)
|
89% |
9481
12.3 IPS |
|
|
Style Transfer (HP)
|
89% |
9022
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19482
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1908
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1824
67.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3442
127.6 IPS |
|
|
Text Classification (SP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (HP)
|
99% |
896
1.20 KIPS |
|
|
Text Classification (Q)
|
88% |
1368
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1538
26.5 IPS |
|
|
Machine Translation (Q)
|
50% |
436
15.5 IPS |
