Google Pixel 10 Pro
Geekbench AI Score
526
Single Precision Score
1022
Half Precision Score
3643
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 22 2025 04:12 PM |
| Views | 5 |
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% |
301
55.9 IPS |
|
|
Image Classification (HP)
|
100% |
309
57.4 IPS |
|
|
Image Classification (Q)
|
99% |
2216
413.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
393
6.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
10006
162.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
555
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
491
0.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
4228
4.95 IPS |
|
|
Object Detection (SP)
|
100% |
336
26.7 IPS |
|
|
Object Detection (HP)
|
100% |
338
26.8 IPS |
|
|
Object Detection (Q)
|
87% |
2381
191.0 IPS |
|
|
Face Detection (SP)
|
100% |
737
8.76 IPS |
|
|
Face Detection (HP)
|
100% |
741
8.80 IPS |
|
|
Face Detection (Q)
|
97% |
19153
228.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
662
5.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
26385
203.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
27618
254.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1017
1.31 IPS |
|
|
Style Transfer (HP)
|
100% |
944
1.21 IPS |
|
|
Style Transfer (Q)
|
98% |
3469
4.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
390
14.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8927
329.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12459
461.7 IPS |
|
|
Text Classification (SP)
|
100% |
540
721.1 IPS |
|
|
Text Classification (HP)
|
100% |
536
716.0 IPS |
|
|
Text Classification (Q)
|
91% |
427
573.3 IPS |
|
|
Machine Translation (SP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
704
12.1 IPS |
|
|
Machine Translation (Q)
|
57% |
189
4.63 IPS |
