Google Pixel 10 Pro
Geekbench AI Score
355
Single Precision Score
819
Half Precision Score
3408
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 05 2025 08:40 PM |
| Views | 4 |
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 | 14.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
286
53.3 IPS |
|
|
Image Classification (HP)
|
100% |
285
52.9 IPS |
|
|
Image Classification (Q)
|
99% |
2334
435.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
220
3.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
237
3.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
14535
236.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
347
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
360
0.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
2753
3.23 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (Q)
|
87% |
2830
227.0 IPS |
|
|
Face Detection (SP)
|
100% |
457
5.43 IPS |
|
|
Face Detection (HP)
|
100% |
585
6.95 IPS |
|
|
Face Detection (Q)
|
97% |
16332
194.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
461
3.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
24209
186.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
31513
290.1 IPS |
|
|
Style Transfer (SP)
|
100% |
813
1.05 IPS |
|
|
Style Transfer (HP)
|
100% |
722
0.93 IPS |
|
|
Style Transfer (Q)
|
98% |
3228
4.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
230
8.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9964
367.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15083
558.9 IPS |
|
|
Text Classification (SP)
|
100% |
368
491.2 IPS |
|
|
Text Classification (HP)
|
100% |
390
520.3 IPS |
|
|
Text Classification (Q)
|
91% |
186
250.3 IPS |
|
|
Machine Translation (SP)
|
100% |
599
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
599
10.3 IPS |
|
|
Machine Translation (Q)
|
57% |
172
4.20 IPS |
