Google Pixel 10 Pro
Geekbench AI Score
1493
Single Precision Score
242
Half Precision Score
1640
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | kyhwana2 |
| Upload Date | December 28 2025 09:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G5 |
| 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 | 14.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1166
216.9 IPS |
|
|
Image Classification (HP)
|
100% |
57
10.6 IPS |
|
|
Image Classification (Q)
|
100% |
1637
304.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1975
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
286
4.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
2156
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3713
4.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1257
1.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
6931
8.22 IPS |
|
|
Object Detection (SP)
|
98% |
1059
84.3 IPS |
|
|
Object Detection (HP)
|
100% |
64
5.07 IPS |
|
|
Object Detection (Q)
|
83% |
934
75.4 IPS |
|
|
Face Detection (SP)
|
100% |
1368
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
361
4.29 IPS |
|
|
Face Detection (Q)
|
95% |
2368
28.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2292
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
413
3.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
2596
23.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4915
6.38 IPS |
|
|
Style Transfer (HP)
|
90% |
1374
1.78 IPS |
|
|
Style Transfer (Q)
|
98% |
8978
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
843
31.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
134
4.93 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1645
61.0 IPS |
|
|
Text Classification (SP)
|
100% |
529
705.9 IPS |
|
|
Text Classification (HP)
|
99% |
564
752.6 IPS |
|
|
Text Classification (Q)
|
88% |
377
509.0 IPS |
|
|
Machine Translation (SP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
35
0.60 IPS |
|
|
Machine Translation (Q)
|
50% |
180
6.39 IPS |
