Google Pixel 10 Pro
Geekbench AI Score
528
Single Precision Score
1052
Half Precision Score
4296
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | csoltenborn |
| Upload Date | November 29 2025 02:50 PM |
| Views | 2 |
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% |
328
61.0 IPS |
|
|
Image Classification (HP)
|
100% |
331
61.5 IPS |
|
|
Image Classification (Q)
|
99% |
4946
922.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
421
6.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
425
6.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
10170
165.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
554
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
546
0.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
4175
4.89 IPS |
|
|
Object Detection (SP)
|
100% |
332
26.3 IPS |
|
|
Object Detection (HP)
|
100% |
333
26.4 IPS |
|
|
Object Detection (Q)
|
87% |
2269
182.0 IPS |
|
|
Face Detection (SP)
|
100% |
725
8.61 IPS |
|
|
Face Detection (HP)
|
100% |
731
8.68 IPS |
|
|
Face Detection (Q)
|
97% |
27247
324.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
648
4.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
27837
214.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
32113
295.6 IPS |
|
|
Style Transfer (SP)
|
100% |
998
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
992
1.28 IPS |
|
|
Style Transfer (Q)
|
98% |
4216
5.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
376
13.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8519
314.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11891
440.6 IPS |
|
|
Text Classification (SP)
|
100% |
542
722.8 IPS |
|
|
Text Classification (HP)
|
100% |
540
721.2 IPS |
|
|
Text Classification (Q)
|
91% |
292
392.5 IPS |
|
|
Machine Translation (SP)
|
100% |
700
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (Q)
|
57% |
351
8.58 IPS |
