Google Pixel 10 Pro
Geekbench AI Score
385
Single Precision Score
796
Half Precision Score
3529
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 18 2025 03:04 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 | 15.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
328
60.9 IPS |
|
|
Image Classification (HP)
|
100% |
306
57.0 IPS |
|
|
Image Classification (Q)
|
99% |
2449
456.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
370
6.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
343
5.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
22829
371.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
364
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
336
0.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
2545
2.98 IPS |
|
|
Object Detection (SP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (HP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (Q)
|
87% |
2516
201.8 IPS |
|
|
Face Detection (SP)
|
100% |
584
6.93 IPS |
|
|
Face Detection (HP)
|
100% |
566
6.72 IPS |
|
|
Face Detection (Q)
|
97% |
16675
198.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
492
3.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
24145
186.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
30162
277.7 IPS |
|
|
Style Transfer (SP)
|
100% |
838
1.08 IPS |
|
|
Style Transfer (HP)
|
100% |
675
0.87 IPS |
|
|
Style Transfer (Q)
|
98% |
3045
3.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
319
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8719
321.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12462
461.8 IPS |
|
|
Text Classification (SP)
|
100% |
230
306.8 IPS |
|
|
Text Classification (HP)
|
100% |
379
505.7 IPS |
|
|
Text Classification (Q)
|
91% |
207
278.1 IPS |
|
|
Machine Translation (SP)
|
100% |
565
9.73 IPS |
|
|
Machine Translation (HP)
|
100% |
414
7.13 IPS |
|
|
Machine Translation (Q)
|
57% |
212
5.18 IPS |
