Google Pixel 10 Pro
Geekbench AI Score
421
Single Precision Score
829
Half Precision Score
3355
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 12 2026 12:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G5 |
| 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% |
227
42.2 IPS |
|
|
Image Classification (HP)
|
100% |
190
35.3 IPS |
|
|
Image Classification (Q)
|
99% |
2434
454.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
343
5.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
11317
184.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
347
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
340
0.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
2404
2.82 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (Q)
|
87% |
2639
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
614
7.29 IPS |
|
|
Face Detection (HP)
|
100% |
578
6.86 IPS |
|
|
Face Detection (Q)
|
97% |
18434
219.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
579
4.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
27603
212.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
30138
277.4 IPS |
|
|
Style Transfer (SP)
|
100% |
800
1.03 IPS |
|
|
Style Transfer (HP)
|
100% |
737
0.95 IPS |
|
|
Style Transfer (Q)
|
98% |
3730
4.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
335
12.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8679
320.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12980
481.0 IPS |
|
|
Text Classification (SP)
|
100% |
425
567.1 IPS |
|
|
Text Classification (HP)
|
100% |
426
568.0 IPS |
|
|
Text Classification (Q)
|
91% |
188
253.2 IPS |
|
|
Machine Translation (SP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (Q)
|
57% |
205
5.01 IPS |
