Google Pixel 10 Pro
Geekbench AI Score
376
Single Precision Score
800
Half Precision Score
3276
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DTPOI |
| Upload Date | December 20 2025 11:47 AM |
| Views | 5 |
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% |
208
38.7 IPS |
|
|
Image Classification (HP)
|
100% |
147
27.4 IPS |
|
|
Image Classification (Q)
|
99% |
2268
423.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
210
3.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
302
4.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
10799
175.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
316
0.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
454
0.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
2964
3.47 IPS |
|
|
Object Detection (SP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (HP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (Q)
|
87% |
2513
201.6 IPS |
|
|
Face Detection (SP)
|
100% |
622
7.39 IPS |
|
|
Face Detection (HP)
|
100% |
500
5.94 IPS |
|
|
Face Detection (Q)
|
97% |
22721
270.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
560
4.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
23736
182.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
29152
268.4 IPS |
|
|
Style Transfer (SP)
|
100% |
839
1.08 IPS |
|
|
Style Transfer (HP)
|
100% |
747
0.96 IPS |
|
|
Style Transfer (Q)
|
98% |
3709
4.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
320
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9031
333.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12804
474.5 IPS |
|
|
Text Classification (SP)
|
100% |
240
319.8 IPS |
|
|
Text Classification (HP)
|
100% |
381
508.6 IPS |
|
|
Text Classification (Q)
|
91% |
139
187.3 IPS |
|
|
Machine Translation (SP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
646
11.1 IPS |
|
|
Machine Translation (Q)
|
57% |
179
4.37 IPS |
