Google Pixel 9
Geekbench AI Score
1061
Single Precision Score
1659
Half Precision Score
1299
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 08:11 PM |
| Views | 4 |
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% |
484
90.0 IPS |
|
|
Image Classification (HP)
|
100% |
740
137.7 IPS |
|
|
Image Classification (Q)
|
97% |
651
121.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1509
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2367
38.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1732
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5294
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
13735
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12997
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (HP)
|
99% |
615
48.7 IPS |
|
|
Object Detection (Q)
|
83% |
1044
84.3 IPS |
|
|
Face Detection (SP)
|
100% |
2532
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3410
40.5 IPS |
|
|
Face Detection (Q)
|
96% |
2870
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3635
28.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
6140
47.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
4814
45.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8111
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21635
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20212
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1907
70.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2487
91.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2310
85.6 IPS |
|
|
Text Classification (SP)
|
35% |
20
184.5 IPS |
|
|
Text Classification (HP)
|
35% |
30
273.2 IPS |
|
|
Text Classification (Q)
|
32% |
19
251.5 IPS |
|
|
Machine Translation (SP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (HP)
|
100% |
316
5.44 IPS |
|
|
Machine Translation (Q)
|
43% |
73
4.23 IPS |
