Google Pixel 10 Pro
Geekbench AI Score
419
Single Precision Score
751
Half Precision Score
3995
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 05 2025 12:19 PM |
| Views | 9 |
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% |
307
57.0 IPS |
|
|
Image Classification (HP)
|
100% |
179
33.2 IPS |
|
|
Image Classification (Q)
|
99% |
5358
999.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
347
5.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
231
3.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
10498
170.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
351
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
330
0.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
2967
3.48 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
236
18.8 IPS |
|
|
Object Detection (Q)
|
87% |
2838
227.7 IPS |
|
|
Face Detection (SP)
|
100% |
659
7.83 IPS |
|
|
Face Detection (HP)
|
100% |
663
7.88 IPS |
|
|
Face Detection (Q)
|
97% |
22308
266.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
530
4.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
25326
195.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
28048
258.2 IPS |
|
|
Style Transfer (SP)
|
100% |
803
1.03 IPS |
|
|
Style Transfer (HP)
|
100% |
783
1.01 IPS |
|
|
Style Transfer (Q)
|
98% |
3675
4.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
338
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9340
344.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12285
455.2 IPS |
|
|
Text Classification (SP)
|
100% |
425
567.1 IPS |
|
|
Text Classification (HP)
|
100% |
239
319.0 IPS |
|
|
Text Classification (Q)
|
91% |
414
556.4 IPS |
|
|
Machine Translation (SP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
607
10.5 IPS |
|
|
Machine Translation (Q)
|
57% |
187
4.56 IPS |
