Google Pixel 10 Pro XL
Geekbench AI Score
1074
Single Precision Score
1020
Half Precision Score
1453
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 01 2025 05:50 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% |
1234
229.5 IPS |
|
|
Image Classification (HP)
|
100% |
1132
210.5 IPS |
|
|
Image Classification (Q)
|
100% |
2515
467.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1704
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1553
25.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2872
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3256
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
2625
3.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
5366
6.36 IPS |
|
|
Object Detection (SP)
|
98% |
726
57.8 IPS |
|
|
Object Detection (HP)
|
98% |
613
48.8 IPS |
|
|
Object Detection (Q)
|
83% |
759
61.3 IPS |
|
|
Face Detection (SP)
|
100% |
1078
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1164
13.8 IPS |
|
|
Face Detection (Q)
|
95% |
1992
23.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1404
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1221
9.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
1946
17.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3292
4.27 IPS |
|
|
Style Transfer (HP)
|
89% |
3093
4.02 IPS |
|
|
Style Transfer (Q)
|
98% |
5508
7.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
561
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
773
28.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1397
51.8 IPS |
|
|
Text Classification (SP)
|
100% |
269
359.3 IPS |
|
|
Text Classification (HP)
|
99% |
259
345.2 IPS |
|
|
Text Classification (Q)
|
88% |
290
391.0 IPS |
|
|
Machine Translation (SP)
|
100% |
550
9.47 IPS |
|
|
Machine Translation (HP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (Q)
|
50% |
165
5.87 IPS |
