Google Pixel 10 Pro
Geekbench AI Score
490
Single Precision Score
966
Half Precision Score
3355
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | CatCat |
| Upload Date | March 27 2026 12:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G5 |
| System Information | |
|---|---|
| Operating System | Android 17 |
| 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% |
327
60.7 IPS |
|
|
Image Classification (HP)
|
100% |
330
61.4 IPS |
|
|
Image Classification (Q)
|
99% |
3477
648.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
424
6.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
427
6.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
10785
175.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
535
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
442
0.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
3235
3.79 IPS |
|
|
Object Detection (SP)
|
100% |
307
24.3 IPS |
|
|
Object Detection (HP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (Q)
|
87% |
2572
206.3 IPS |
|
|
Face Detection (SP)
|
100% |
653
7.76 IPS |
|
|
Face Detection (HP)
|
100% |
659
7.83 IPS |
|
|
Face Detection (Q)
|
97% |
16467
196.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
557
4.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
24934
192.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
28637
263.6 IPS |
|
|
Style Transfer (SP)
|
100% |
912
1.17 IPS |
|
|
Style Transfer (HP)
|
100% |
875
1.12 IPS |
|
|
Style Transfer (Q)
|
98% |
3905
5.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
355
13.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9415
347.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12836
475.6 IPS |
|
|
Text Classification (SP)
|
100% |
454
606.3 IPS |
|
|
Text Classification (HP)
|
100% |
463
618.0 IPS |
|
|
Text Classification (Q)
|
91% |
135
181.5 IPS |
|
|
Machine Translation (SP)
|
100% |
657
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
630
10.8 IPS |
|
|
Machine Translation (Q)
|
57% |
182
4.46 IPS |
