Google Pixel 9
Geekbench AI Score
1640
Single Precision Score
1626
Half Precision Score
2453
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 29 2025 04:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1295
240.9 IPS |
|
|
Image Classification (HP)
|
100% |
1506
280.0 IPS |
|
|
Image Classification (Q)
|
100% |
2365
439.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1712
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1701
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2391
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2779
3.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2768
3.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
6076
7.21 IPS |
|
|
Object Detection (SP)
|
98% |
1350
107.5 IPS |
|
|
Object Detection (HP)
|
98% |
1380
109.8 IPS |
|
|
Object Detection (Q)
|
83% |
2118
171.1 IPS |
|
|
Face Detection (SP)
|
100% |
2748
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
2734
32.5 IPS |
|
|
Face Detection (Q)
|
95% |
4411
52.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2595
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2300
17.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3565
32.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5220
6.78 IPS |
|
|
Style Transfer (HP)
|
89% |
5086
6.60 IPS |
|
|
Style Transfer (Q)
|
98% |
8693
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1022
37.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1010
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2328
86.3 IPS |
|
|
Text Classification (SP)
|
100% |
454
605.4 IPS |
|
|
Text Classification (HP)
|
99% |
438
585.0 IPS |
|
|
Text Classification (Q)
|
88% |
739
996.2 IPS |
|
|
Machine Translation (SP)
|
100% |
982
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (Q)
|
50% |
462
16.4 IPS |
