Google Pixel 9
Geekbench AI Score
1663
Single Precision Score
1687
Half Precision Score
2471
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 08 2025 11:07 AM |
| 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% |
1337
248.6 IPS |
|
|
Image Classification (HP)
|
100% |
1578
293.4 IPS |
|
|
Image Classification (Q)
|
100% |
2303
428.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1721
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1717
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2473
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2818
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2784
3.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
6135
7.28 IPS |
|
|
Object Detection (SP)
|
98% |
1480
117.8 IPS |
|
|
Object Detection (HP)
|
98% |
1435
114.2 IPS |
|
|
Object Detection (Q)
|
83% |
1961
158.4 IPS |
|
|
Face Detection (SP)
|
100% |
2769
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
2822
33.5 IPS |
|
|
Face Detection (Q)
|
95% |
4352
52.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2532
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2612
20.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3217
29.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4611
5.99 IPS |
|
|
Style Transfer (HP)
|
89% |
4847
6.29 IPS |
|
|
Style Transfer (Q)
|
98% |
9630
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1084
40.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1049
38.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2418
89.6 IPS |
|
|
Text Classification (SP)
|
100% |
466
622.2 IPS |
|
|
Text Classification (HP)
|
99% |
449
599.8 IPS |
|
|
Text Classification (Q)
|
88% |
792
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1036
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (Q)
|
50% |
481
17.1 IPS |
