Google Pixel 9
Geekbench AI Score
1178
Single Precision Score
1142
Half Precision Score
1723
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | jasubhai |
| Upload Date | March 18 2025 07:24 PM |
| Views | 9 |
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% |
1313
244.1 IPS |
|
|
Image Classification (HP)
|
100% |
1489
276.9 IPS |
|
|
Image Classification (Q)
|
100% |
2312
430.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1565
25.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2401
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2468
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1996
2.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
4501
5.34 IPS |
|
|
Object Detection (SP)
|
98% |
818
65.1 IPS |
|
|
Object Detection (HP)
|
98% |
721
57.4 IPS |
|
|
Object Detection (Q)
|
83% |
992
80.1 IPS |
|
|
Face Detection (SP)
|
100% |
1619
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
1587
18.9 IPS |
|
|
Face Detection (Q)
|
95% |
2380
28.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1394
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1455
11.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2250
20.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3303
4.29 IPS |
|
|
Style Transfer (HP)
|
89% |
3266
4.24 IPS |
|
|
Style Transfer (Q)
|
98% |
6460
8.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
698
25.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
702
25.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1667
61.8 IPS |
|
|
Text Classification (SP)
|
100% |
318
425.1 IPS |
|
|
Text Classification (HP)
|
99% |
317
422.8 IPS |
|
|
Text Classification (Q)
|
88% |
517
696.9 IPS |
|
|
Machine Translation (SP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (Q)
|
50% |
313
11.1 IPS |
