Google Pixel 9 Pro
Geekbench AI Score
1501
Single Precision Score
1457
Half Precision Score
2147
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 14 2025 03:56 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 9 Pro |
| Model ID | Google Pixel 9 Pro |
| Motherboard | caiman |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 15.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1591
296.0 IPS |
|
|
Image Classification (HP)
|
100% |
1576
293.0 IPS |
|
|
Image Classification (Q)
|
100% |
2420
450.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1742
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1731
28.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2564
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2928
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2877
3.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
6006
7.12 IPS |
|
|
Object Detection (SP)
|
98% |
1320
105.0 IPS |
|
|
Object Detection (HP)
|
98% |
1328
105.7 IPS |
|
|
Object Detection (Q)
|
83% |
1570
126.8 IPS |
|
|
Face Detection (SP)
|
100% |
2431
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
2287
27.2 IPS |
|
|
Face Detection (Q)
|
95% |
3508
41.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2176
16.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2176
16.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3376
30.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4619
6.00 IPS |
|
|
Style Transfer (HP)
|
89% |
4053
5.26 IPS |
|
|
Style Transfer (Q)
|
98% |
7589
9.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
783
28.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
797
29.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1838
68.1 IPS |
|
|
Text Classification (SP)
|
100% |
362
482.9 IPS |
|
|
Text Classification (HP)
|
99% |
347
463.5 IPS |
|
|
Text Classification (Q)
|
88% |
621
837.8 IPS |
|
|
Machine Translation (SP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
745
12.8 IPS |
|
|
Machine Translation (Q)
|
50% |
347
12.3 IPS |
