Google Pixel 9
Geekbench AI Score
1144
Single Precision Score
1799
Half Precision Score
1312
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 19 2025 12:33 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% |
669
124.3 IPS |
|
|
Image Classification (HP)
|
100% |
877
163.2 IPS |
|
|
Image Classification (Q)
|
97% |
646
120.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1585
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2640
42.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1773
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5301
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
13207
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12544
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
636
50.5 IPS |
|
|
Object Detection (HP)
|
99% |
1087
86.2 IPS |
|
|
Object Detection (Q)
|
83% |
1039
83.9 IPS |
|
|
Face Detection (SP)
|
100% |
2752
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
3446
40.9 IPS |
|
|
Face Detection (Q)
|
96% |
2859
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3710
28.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
6223
48.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
5071
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8117
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21620
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20203
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1940
71.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2473
91.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2347
87.0 IPS |
|
|
Text Classification (SP)
|
35% |
22
198.5 IPS |
|
|
Text Classification (HP)
|
35% |
28
256.4 IPS |
|
|
Text Classification (Q)
|
32% |
19
245.6 IPS |
|
|
Machine Translation (SP)
|
100% |
306
5.26 IPS |
|
|
Machine Translation (HP)
|
100% |
333
5.74 IPS |
|
|
Machine Translation (Q)
|
43% |
78
4.53 IPS |
