Google Pixel 9
Geekbench AI Score
1099
Single Precision Score
1723
Half Precision Score
1280
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 01:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
645
119.9 IPS |
|
|
Image Classification (HP)
|
100% |
739
137.4 IPS |
|
|
Image Classification (Q)
|
97% |
504
94.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1560
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2434
39.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1766
28.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5298
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
13629
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12927
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (HP)
|
99% |
1015
80.5 IPS |
|
|
Object Detection (Q)
|
83% |
1046
84.5 IPS |
|
|
Face Detection (SP)
|
100% |
2540
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (Q)
|
96% |
3052
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3659
28.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
6008
46.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
4880
46.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8063
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21500
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19714
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1894
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2273
83.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2296
85.1 IPS |
|
|
Text Classification (SP)
|
35% |
20
185.7 IPS |
|
|
Text Classification (HP)
|
35% |
30
275.7 IPS |
|
|
Text Classification (Q)
|
32% |
20
256.5 IPS |
|
|
Machine Translation (SP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (HP)
|
100% |
327
5.63 IPS |
|
|
Machine Translation (Q)
|
43% |
73
4.26 IPS |
