Google Pixel 10 Pro
Geekbench AI Score
315
Single Precision Score
683
Half Precision Score
3241
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 24 2025 04:23 PM |
| 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 | 15.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
329
61.2 IPS |
|
|
Image Classification (HP)
|
100% |
331
61.6 IPS |
|
|
Image Classification (Q)
|
99% |
4272
796.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
420
6.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
425
6.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
12918
210.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
537
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
273
0.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
1952
2.29 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
146
11.6 IPS |
|
|
Object Detection (Q)
|
87% |
2391
191.8 IPS |
|
|
Face Detection (SP)
|
100% |
351
4.17 IPS |
|
|
Face Detection (HP)
|
100% |
414
4.92 IPS |
|
|
Face Detection (Q)
|
97% |
13258
158.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
332
2.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
24930
192.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
29488
271.5 IPS |
|
|
Style Transfer (SP)
|
100% |
516
0.66 IPS |
|
|
Style Transfer (HP)
|
100% |
553
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
2720
3.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
162
6.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8725
322.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12803
474.4 IPS |
|
|
Text Classification (SP)
|
100% |
180
240.2 IPS |
|
|
Text Classification (HP)
|
100% |
229
305.3 IPS |
|
|
Text Classification (Q)
|
91% |
180
241.4 IPS |
|
|
Machine Translation (SP)
|
100% |
351
6.04 IPS |
|
|
Machine Translation (HP)
|
100% |
349
6.01 IPS |
|
|
Machine Translation (Q)
|
57% |
203
4.97 IPS |
