Google Pixel 10 Pro
Geekbench AI Score
447
Single Precision Score
899
Half Precision Score
4000
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Vp5 |
| Upload Date | August 30 2025 11:16 AM |
| Views | 8 |
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% |
330
61.4 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.7 IPS |
|
|
Image Classification (Q)
|
99% |
3769
703.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
422
6.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
422
6.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
12010
195.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
534
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
336
0.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
3371
3.95 IPS |
|
|
Object Detection (SP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (HP)
|
100% |
288
22.9 IPS |
|
|
Object Detection (Q)
|
87% |
3905
313.2 IPS |
|
|
Face Detection (SP)
|
100% |
620
7.37 IPS |
|
|
Face Detection (HP)
|
100% |
494
5.86 IPS |
|
|
Face Detection (Q)
|
97% |
21066
251.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
547
4.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
27325
210.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
30745
283.0 IPS |
|
|
Style Transfer (SP)
|
100% |
774
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
794
1.02 IPS |
|
|
Style Transfer (Q)
|
98% |
3664
4.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8752
323.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12584
466.3 IPS |
|
|
Text Classification (SP)
|
100% |
248
331.3 IPS |
|
|
Text Classification (HP)
|
100% |
427
570.0 IPS |
|
|
Text Classification (Q)
|
91% |
309
414.8 IPS |
|
|
Machine Translation (SP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (Q)
|
57% |
191
4.66 IPS |
