Google Pixel 10 Pro
Geekbench AI Score
2632
Single Precision Score
2662
Half Precision Score
4235
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | csoltenborn |
| Upload Date | November 29 2025 02:42 PM |
| Views | 3 |
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% |
1782
331.4 IPS |
|
|
Image Classification (HP)
|
100% |
2040
379.3 IPS |
|
|
Image Classification (Q)
|
100% |
3472
645.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2316
37.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4040
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4515
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
4444
5.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
10859
12.9 IPS |
|
|
Object Detection (SP)
|
98% |
1965
156.4 IPS |
|
|
Object Detection (HP)
|
98% |
1989
158.3 IPS |
|
|
Object Detection (Q)
|
83% |
2877
232.4 IPS |
|
|
Face Detection (SP)
|
100% |
3498
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
3494
41.5 IPS |
|
|
Face Detection (Q)
|
95% |
7952
94.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4120
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4101
31.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
7634
69.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9988
13.0 IPS |
|
|
Style Transfer (HP)
|
89% |
10022
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21840
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2094
77.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2162
79.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5418
200.7 IPS |
|
|
Text Classification (SP)
|
100% |
998
1.33 KIPS |
|
|
Text Classification (HP)
|
99% |
892
1.19 KIPS |
|
|
Text Classification (Q)
|
88% |
781
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1439
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1549
26.7 IPS |
|
|
Machine Translation (Q)
|
50% |
755
26.8 IPS |
