Google Pixel 10 Pro
Geekbench AI Score
2500
Single Precision Score
2518
Half Precision Score
3634
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 10:04 AM |
| 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 |
| Model ID | Google Pixel 10 Pro |
| Motherboard | blazer |
| 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% |
1884
350.4 IPS |
|
|
Image Classification (HP)
|
100% |
2120
394.3 IPS |
|
|
Image Classification (Q)
|
100% |
3987
741.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2446
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2222
36.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1723
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4341
5.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
4151
4.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
9817
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
1648
131.1 IPS |
|
|
Object Detection (HP)
|
98% |
1690
134.5 IPS |
|
|
Object Detection (Q)
|
83% |
2006
162.1 IPS |
|
|
Face Detection (SP)
|
100% |
3096
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
3210
38.1 IPS |
|
|
Face Detection (Q)
|
95% |
5678
67.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3793
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3838
29.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
6323
57.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9590
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9477
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20021
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1968
72.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2029
74.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3849
142.6 IPS |
|
|
Text Classification (SP)
|
100% |
809
1.08 KIPS |
|
|
Text Classification (HP)
|
99% |
825
1.10 KIPS |
|
|
Text Classification (Q)
|
88% |
1537
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1617
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1589
27.4 IPS |
|
|
Machine Translation (Q)
|
50% |
700
24.8 IPS |
