Google Pixel 10 Pro
Geekbench AI Score
2540
Single Precision Score
2621
Half Precision Score
4402
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 11:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 14.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1821
338.6 IPS |
|
|
Image Classification (HP)
|
100% |
2051
381.4 IPS |
|
|
Image Classification (Q)
|
100% |
3487
648.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2307
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2316
37.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4186
68.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4324
5.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
4356
5.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
10378
12.3 IPS |
|
|
Object Detection (SP)
|
98% |
1807
143.8 IPS |
|
|
Object Detection (HP)
|
98% |
1792
142.6 IPS |
|
|
Object Detection (Q)
|
83% |
2607
210.6 IPS |
|
|
Face Detection (SP)
|
100% |
3484
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
3442
40.9 IPS |
|
|
Face Detection (Q)
|
95% |
7604
90.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3798
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3966
30.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6733
61.7 IPS |
|
|
Style Transfer (SP)
|
89% |
9993
13.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9970
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20335
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1955
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2076
76.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4891
181.2 IPS |
|
|
Text Classification (SP)
|
100% |
939
1.25 KIPS |
|
|
Text Classification (HP)
|
99% |
902
1.20 KIPS |
|
|
Text Classification (Q)
|
88% |
1581
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1407
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1620
27.9 IPS |
|
|
Machine Translation (Q)
|
50% |
860
30.5 IPS |
