Google Pixel 10 Pro XL
Geekbench AI Score
2267
Single Precision Score
2251
Half Precision Score
3695
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | jeradhill |
| Upload Date | September 03 2025 02:59 AM |
| Views | 8 |
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% |
1742
324.0 IPS |
|
|
Image Classification (HP)
|
100% |
2142
398.4 IPS |
|
|
Image Classification (Q)
|
100% |
3925
730.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2057
33.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4000
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4122
4.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3964
4.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
9568
11.3 IPS |
|
|
Object Detection (SP)
|
98% |
1723
137.1 IPS |
|
|
Object Detection (HP)
|
98% |
1729
137.5 IPS |
|
|
Object Detection (Q)
|
83% |
2242
181.1 IPS |
|
|
Face Detection (SP)
|
100% |
3190
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
2819
33.5 IPS |
|
|
Face Detection (Q)
|
95% |
5944
71.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3316
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3686
28.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
7221
66.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7772
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
7877
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
15290
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1773
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1751
64.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4450
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
739
987.0 IPS |
|
|
Text Classification (HP)
|
99% |
734
979.3 IPS |
|
|
Text Classification (Q)
|
88% |
1183
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1148
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1053
18.1 IPS |
|
|
Machine Translation (Q)
|
50% |
408
14.5 IPS |
