Google Pixel 10 Pro
Geekbench AI Score
387
Single Precision Score
783
Half Precision Score
3382
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 10 2025 06:07 AM |
| Views | 3 |
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% |
157
29.2 IPS |
|
|
Image Classification (HP)
|
100% |
234
43.6 IPS |
|
|
Image Classification (Q)
|
99% |
2738
510.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
226
3.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
12664
205.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
344
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
350
0.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
2325
2.72 IPS |
|
|
Object Detection (SP)
|
100% |
293
23.3 IPS |
|
|
Object Detection (HP)
|
100% |
271
21.5 IPS |
|
|
Object Detection (Q)
|
87% |
2492
199.9 IPS |
|
|
Face Detection (SP)
|
100% |
486
5.77 IPS |
|
|
Face Detection (HP)
|
100% |
624
7.42 IPS |
|
|
Face Detection (Q)
|
97% |
16273
194.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
578
4.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
24775
190.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
30115
277.2 IPS |
|
|
Style Transfer (SP)
|
100% |
841
1.08 IPS |
|
|
Style Transfer (HP)
|
100% |
787
1.01 IPS |
|
|
Style Transfer (Q)
|
98% |
3749
4.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9096
335.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12680
469.9 IPS |
|
|
Text Classification (SP)
|
100% |
360
480.5 IPS |
|
|
Text Classification (HP)
|
100% |
381
508.2 IPS |
|
|
Text Classification (Q)
|
91% |
214
287.4 IPS |
|
|
Machine Translation (SP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
412
7.10 IPS |
|
|
Machine Translation (Q)
|
57% |
196
4.79 IPS |
