Google Pixel 10 Pro
Geekbench AI Score
1572
Single Precision Score
1675
Half Precision Score
2497
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 17 2025 11:48 AM |
| Views | 4 |
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 | 15.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1236
229.8 IPS |
|
|
Image Classification (HP)
|
100% |
1273
236.7 IPS |
|
|
Image Classification (Q)
|
100% |
2261
420.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1242
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1876
30.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1807
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3052
3.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
2783
3.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
7026
8.33 IPS |
|
|
Object Detection (SP)
|
98% |
1211
96.4 IPS |
|
|
Object Detection (HP)
|
98% |
1206
95.9 IPS |
|
|
Object Detection (Q)
|
83% |
1976
159.6 IPS |
|
|
Face Detection (SP)
|
100% |
2151
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
2138
25.4 IPS |
|
|
Face Detection (Q)
|
95% |
4626
55.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2390
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2291
17.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4172
38.2 IPS |
|
|
Style Transfer (SP)
|
89% |
4237
5.50 IPS |
|
|
Style Transfer (HP)
|
89% |
6062
7.87 IPS |
|
|
Style Transfer (Q)
|
98% |
10621
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1253
46.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1281
47.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3391
125.6 IPS |
|
|
Text Classification (SP)
|
100% |
615
820.5 IPS |
|
|
Text Classification (HP)
|
99% |
610
814.2 IPS |
|
|
Text Classification (Q)
|
88% |
669
902.9 IPS |
|
|
Machine Translation (SP)
|
100% |
969
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (Q)
|
50% |
358
12.7 IPS |
