Google Pixel 9
Geekbench AI Score
2017
Single Precision Score
2024
Half Precision Score
3085
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 18 2025 06:54 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% |
1416
263.4 IPS |
|
|
Image Classification (HP)
|
100% |
1574
292.7 IPS |
|
|
Image Classification (Q)
|
100% |
2410
448.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1757
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2469
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2960
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2824
3.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
6274
7.44 IPS |
|
|
Object Detection (SP)
|
98% |
1504
119.7 IPS |
|
|
Object Detection (HP)
|
98% |
1496
119.0 IPS |
|
|
Object Detection (Q)
|
83% |
2180
176.1 IPS |
|
|
Face Detection (SP)
|
100% |
3014
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (Q)
|
95% |
4806
57.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3060
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3060
23.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5053
46.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6912
8.97 IPS |
|
|
Style Transfer (HP)
|
89% |
7013
9.10 IPS |
|
|
Style Transfer (Q)
|
98% |
13660
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1497
55.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1536
56.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3551
131.6 IPS |
|
|
Text Classification (SP)
|
100% |
681
909.6 IPS |
|
|
Text Classification (HP)
|
99% |
676
902.9 IPS |
|
|
Text Classification (Q)
|
88% |
1156
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1555
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1499
25.8 IPS |
|
|
Machine Translation (Q)
|
50% |
705
25.0 IPS |
