Google Pixel 10 Pro
Geekbench AI Score
525
Single Precision Score
1044
Half Precision Score
4579
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 04:57 PM |
| 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 | 15.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
331
61.6 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.8 IPS |
|
|
Image Classification (Q)
|
99% |
7602
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
425
6.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
428
6.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
10008
162.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
556
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
553
0.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
4151
4.86 IPS |
|
|
Object Detection (SP)
|
100% |
331
26.2 IPS |
|
|
Object Detection (HP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (Q)
|
87% |
4057
325.5 IPS |
|
|
Face Detection (SP)
|
100% |
734
8.72 IPS |
|
|
Face Detection (HP)
|
100% |
708
8.42 IPS |
|
|
Face Detection (Q)
|
97% |
21590
257.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
555
4.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
30643
236.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
27653
254.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1013
1.30 IPS |
|
|
Style Transfer (HP)
|
100% |
866
1.11 IPS |
|
|
Style Transfer (Q)
|
98% |
4206
5.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
388
14.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8750
323.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11886
440.4 IPS |
|
|
Text Classification (SP)
|
100% |
539
718.8 IPS |
|
|
Text Classification (HP)
|
100% |
540
720.4 IPS |
|
|
Text Classification (Q)
|
91% |
419
562.7 IPS |
|
|
Machine Translation (SP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (Q)
|
57% |
253
6.19 IPS |
