Google Pixel 9
Geekbench AI Score
1436
Single Precision Score
1408
Half Precision Score
2038
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 02:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 9 |
| Model ID | Google Pixel 9 |
| Motherboard | tokay |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
1537
285.8 IPS |
|
|
Image Classification (Q)
|
100% |
2336
434.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1686
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2440
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2730
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2649
3.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
5754
6.82 IPS |
|
|
Object Detection (SP)
|
98% |
1280
101.9 IPS |
|
|
Object Detection (HP)
|
98% |
1244
99.0 IPS |
|
|
Object Detection (Q)
|
83% |
1686
136.2 IPS |
|
|
Face Detection (SP)
|
100% |
2477
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
2226
26.5 IPS |
|
|
Face Detection (Q)
|
95% |
2858
34.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2185
16.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1891
14.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2603
23.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3955
5.13 IPS |
|
|
Style Transfer (HP)
|
89% |
3851
5.00 IPS |
|
|
Style Transfer (Q)
|
98% |
7447
9.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
789
29.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
776
28.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1814
67.2 IPS |
|
|
Text Classification (SP)
|
100% |
352
469.4 IPS |
|
|
Text Classification (HP)
|
99% |
354
472.9 IPS |
|
|
Text Classification (Q)
|
88% |
619
834.4 IPS |
|
|
Machine Translation (SP)
|
100% |
760
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (Q)
|
50% |
360
12.8 IPS |
