Google Pixel 10 Pro
Geekbench AI Score
231
Single Precision Score
573
Half Precision Score
4405
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Ray5 |
| Upload Date | August 28 2025 08:00 PM |
| Views | 8 |
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% |
157
29.1 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.4 IPS |
|
|
Image Classification (Q)
|
99% |
5643
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
185
3.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
171
2.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
18122
294.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
214
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
203
0.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
2642
3.10 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
126
9.99 IPS |
|
|
Object Detection (Q)
|
87% |
4475
359.0 IPS |
|
|
Face Detection (SP)
|
100% |
354
4.20 IPS |
|
|
Face Detection (HP)
|
100% |
334
3.97 IPS |
|
|
Face Detection (Q)
|
97% |
30869
368.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
276
2.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
34136
263.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
43562
401.0 IPS |
|
|
Style Transfer (SP)
|
100% |
616
0.79 IPS |
|
|
Style Transfer (HP)
|
100% |
598
0.77 IPS |
|
|
Style Transfer (Q)
|
98% |
2725
3.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
125
4.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12314
454.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
18662
691.5 IPS |
|
|
Text Classification (SP)
|
100% |
158
210.5 IPS |
|
|
Text Classification (HP)
|
100% |
169
225.6 IPS |
|
|
Text Classification (Q)
|
91% |
195
261.7 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (Q)
|
57% |
171
4.18 IPS |
