Google Pixel 10 Pro
Geekbench AI Score
508
Single Precision Score
1000
Half Precision Score
4405
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 14 2025 11:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
329
61.3 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.8 IPS |
|
|
Image Classification (Q)
|
99% |
3813
711.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
427
6.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
431
6.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
10583
172.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
560
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
498
0.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
4178
4.89 IPS |
|
|
Object Detection (SP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (HP)
|
100% |
336
26.7 IPS |
|
|
Object Detection (Q)
|
87% |
3705
297.2 IPS |
|
|
Face Detection (SP)
|
100% |
733
8.71 IPS |
|
|
Face Detection (HP)
|
100% |
739
8.78 IPS |
|
|
Face Detection (Q)
|
97% |
28096
335.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
653
5.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
24688
190.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
33930
312.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1006
1.29 IPS |
|
|
Style Transfer (HP)
|
100% |
1003
1.29 IPS |
|
|
Style Transfer (Q)
|
98% |
3816
4.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8944
330.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12178
451.2 IPS |
|
|
Text Classification (SP)
|
100% |
423
564.9 IPS |
|
|
Text Classification (HP)
|
100% |
424
566.4 IPS |
|
|
Text Classification (Q)
|
91% |
415
557.3 IPS |
|
|
Machine Translation (SP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (Q)
|
57% |
240
5.85 IPS |
