Google Pixel 10 Pro
Geekbench AI Score
2587
Single Precision Score
2613
Half Precision Score
4314
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 11:34 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 | 15.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1802
335.2 IPS |
|
|
Image Classification (HP)
|
100% |
2131
396.2 IPS |
|
|
Image Classification (Q)
|
100% |
3538
657.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4218
68.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4442
5.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4403
5.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
10290
12.2 IPS |
|
|
Object Detection (SP)
|
98% |
1844
146.7 IPS |
|
|
Object Detection (HP)
|
98% |
1802
143.4 IPS |
|
|
Object Detection (Q)
|
83% |
3133
253.1 IPS |
|
|
Face Detection (SP)
|
100% |
3214
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
3233
38.4 IPS |
|
|
Face Detection (Q)
|
95% |
7825
93.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3770
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3965
30.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6865
62.9 IPS |
|
|
Style Transfer (SP)
|
89% |
10004
13.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9891
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
21040
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2089
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2123
78.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4458
165.2 IPS |
|
|
Text Classification (SP)
|
100% |
919
1.23 KIPS |
|
|
Text Classification (HP)
|
99% |
906
1.21 KIPS |
|
|
Text Classification (Q)
|
88% |
1396
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1666
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1535
26.4 IPS |
|
|
Machine Translation (Q)
|
50% |
660
23.4 IPS |
