Google Pixel 9
Geekbench AI Score
1121
Single Precision Score
1766
Half Precision Score
1304
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 02:01 PM |
| 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% |
662
123.1 IPS |
|
|
Image Classification (HP)
|
100% |
800
148.8 IPS |
|
|
Image Classification (Q)
|
97% |
513
95.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1590
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2400
38.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2087
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5294
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
13174
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12612
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
599
47.5 IPS |
|
|
Object Detection (HP)
|
99% |
1100
87.2 IPS |
|
|
Object Detection (Q)
|
83% |
1033
83.4 IPS |
|
|
Face Detection (SP)
|
100% |
2673
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
3680
43.7 IPS |
|
|
Face Detection (Q)
|
96% |
3003
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3669
28.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6456
49.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
5039
47.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8081
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21439
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20189
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1930
71.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2497
92.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2315
85.8 IPS |
|
|
Text Classification (SP)
|
35% |
19
173.5 IPS |
|
|
Text Classification (HP)
|
35% |
26
232.4 IPS |
|
|
Text Classification (Q)
|
32% |
19
251.0 IPS |
|
|
Machine Translation (SP)
|
100% |
325
5.61 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.53 IPS |
|
|
Machine Translation (Q)
|
43% |
76
4.43 IPS |
