Google Pixel 10 Pro
Geekbench AI Score
1962
Single Precision Score
1884
Half Precision Score
2961
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 02:23 AM |
| Views | 2 |
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% |
1654
307.7 IPS |
|
|
Image Classification (HP)
|
100% |
2067
384.3 IPS |
|
|
Image Classification (Q)
|
100% |
3706
689.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2235
36.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3963
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4176
4.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
4077
4.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
9617
11.4 IPS |
|
|
Object Detection (SP)
|
98% |
1669
132.9 IPS |
|
|
Object Detection (HP)
|
98% |
1890
150.4 IPS |
|
|
Object Detection (Q)
|
83% |
3149
254.4 IPS |
|
|
Face Detection (SP)
|
100% |
3454
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
3172
37.7 IPS |
|
|
Face Detection (Q)
|
95% |
6867
82.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3632
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3141
24.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5252
48.1 IPS |
|
|
Style Transfer (SP)
|
89% |
4300
5.58 IPS |
|
|
Style Transfer (HP)
|
89% |
5040
6.54 IPS |
|
|
Style Transfer (Q)
|
98% |
12637
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1254
46.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
933
34.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1555
57.6 IPS |
|
|
Text Classification (SP)
|
100% |
581
775.2 IPS |
|
|
Text Classification (HP)
|
99% |
391
522.2 IPS |
|
|
Text Classification (Q)
|
88% |
561
756.5 IPS |
|
|
Machine Translation (SP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
868
15.0 IPS |
|
|
Machine Translation (Q)
|
50% |
293
10.4 IPS |
