Google Pixel 10 Pro
Geekbench AI Score
326
Single Precision Score
712
Half Precision Score
3672
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 15 2025 06:17 PM |
| 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% |
188
35.0 IPS |
|
|
Image Classification (HP)
|
100% |
189
35.2 IPS |
|
|
Image Classification (Q)
|
99% |
4536
846.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
172
2.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
186
3.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
14869
241.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
285
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
306
0.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1969
2.31 IPS |
|
|
Object Detection (SP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
249
19.7 IPS |
|
|
Object Detection (Q)
|
87% |
2662
213.5 IPS |
|
|
Face Detection (SP)
|
100% |
441
5.24 IPS |
|
|
Face Detection (HP)
|
100% |
586
6.96 IPS |
|
|
Face Detection (Q)
|
97% |
24229
288.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
468
3.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
28482
219.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
30513
280.9 IPS |
|
|
Style Transfer (SP)
|
100% |
741
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
729
0.94 IPS |
|
|
Style Transfer (Q)
|
98% |
3301
4.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8735
322.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12155
450.4 IPS |
|
|
Text Classification (SP)
|
100% |
230
306.8 IPS |
|
|
Text Classification (HP)
|
100% |
230
307.1 IPS |
|
|
Text Classification (Q)
|
91% |
195
261.9 IPS |
|
|
Machine Translation (SP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
512
8.81 IPS |
|
|
Machine Translation (Q)
|
57% |
218
5.33 IPS |
