Google Pixel 10 Pro
Geekbench AI Score
2475
Single Precision Score
2436
Half Precision Score
3794
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 24 2025 06:51 PM |
| Views | 27 |
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% |
1872
348.1 IPS |
|
|
Image Classification (HP)
|
100% |
2087
388.1 IPS |
|
|
Image Classification (Q)
|
100% |
3576
665.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2424
39.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4166
67.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4407
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
4361
5.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
10134
12.0 IPS |
|
|
Object Detection (SP)
|
98% |
1714
136.4 IPS |
|
|
Object Detection (HP)
|
98% |
1653
131.5 IPS |
|
|
Object Detection (Q)
|
83% |
2770
223.8 IPS |
|
|
Face Detection (SP)
|
100% |
3196
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
3151
37.4 IPS |
|
|
Face Detection (Q)
|
95% |
6485
77.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3615
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3951
30.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5905
54.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9837
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
9742
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20735
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2092
77.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2085
77.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4803
178.0 IPS |
|
|
Text Classification (SP)
|
100% |
828
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
759
1.01 KIPS |
|
|
Text Classification (Q)
|
88% |
1232
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1313
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (Q)
|
50% |
315
11.2 IPS |
