Google Pixel 10 Pro
Geekbench AI Score
502
Single Precision Score
997
Half Precision Score
3806
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Ray5 |
| Upload Date | February 19 2026 06:13 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G5 |
| 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 | 15.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
322
60.0 IPS |
|
|
Image Classification (HP)
|
100% |
323
60.0 IPS |
|
|
Image Classification (Q)
|
99% |
4684
873.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
417
6.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
419
6.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
11492
186.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
546
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
529
0.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
3979
4.66 IPS |
|
|
Object Detection (SP)
|
100% |
322
25.6 IPS |
|
|
Object Detection (HP)
|
100% |
325
25.8 IPS |
|
|
Object Detection (Q)
|
87% |
2442
195.9 IPS |
|
|
Face Detection (SP)
|
100% |
708
8.41 IPS |
|
|
Face Detection (HP)
|
100% |
713
8.47 IPS |
|
|
Face Detection (Q)
|
97% |
16281
194.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
634
4.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
22987
177.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
27675
254.8 IPS |
|
|
Style Transfer (SP)
|
100% |
965
1.24 IPS |
|
|
Style Transfer (HP)
|
100% |
950
1.22 IPS |
|
|
Style Transfer (Q)
|
98% |
4150
5.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
371
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8670
320.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12041
446.2 IPS |
|
|
Text Classification (SP)
|
100% |
422
563.1 IPS |
|
|
Text Classification (HP)
|
100% |
455
606.8 IPS |
|
|
Text Classification (Q)
|
91% |
236
317.3 IPS |
|
|
Machine Translation (SP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (Q)
|
57% |
230
5.61 IPS |
