Google Pixel 10 Pro XL
Geekbench AI Score
2621
Single Precision Score
2574
Half Precision Score
4507
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | MathewCNichols |
| Upload Date | September 02 2025 01:04 PM |
| Views | 10 |
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% |
2063
383.6 IPS |
|
|
Image Classification (HP)
|
100% |
1855
344.9 IPS |
|
|
Image Classification (Q)
|
100% |
3950
734.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2366
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4221
68.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4353
5.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
4264
4.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
10130
12.0 IPS |
|
|
Object Detection (SP)
|
98% |
1765
140.5 IPS |
|
|
Object Detection (HP)
|
98% |
1768
140.6 IPS |
|
|
Object Detection (Q)
|
83% |
2905
234.7 IPS |
|
|
Face Detection (SP)
|
100% |
3237
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
3335
39.6 IPS |
|
|
Face Detection (Q)
|
95% |
7439
88.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3789
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3786
29.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
6588
60.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9822
12.7 IPS |
|
|
Style Transfer (HP)
|
89% |
9731
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
21294
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2068
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2022
74.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4978
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
1017
1.36 KIPS |
|
|
Text Classification (HP)
|
99% |
1014
1.35 KIPS |
|
|
Text Classification (Q)
|
88% |
1617
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1611
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1557
26.8 IPS |
|
|
Machine Translation (Q)
|
50% |
840
29.8 IPS |
