Google Pixel 9
Geekbench AI Score
1115
Single Precision Score
223
Half Precision Score
1368
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | satomimipyon |
| Upload Date | September 28 2025 06:07 AM |
| Views | 3 |
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 | 10.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1175
218.4 IPS |
|
|
Image Classification (HP)
|
100% |
65
12.2 IPS |
|
|
Image Classification (Q)
|
100% |
1621
301.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1578
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
280
4.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
2047
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2215
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
771
0.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
2761
3.27 IPS |
|
|
Object Detection (SP)
|
98% |
686
54.6 IPS |
|
|
Object Detection (HP)
|
100% |
74
5.87 IPS |
|
|
Object Detection (Q)
|
83% |
852
68.9 IPS |
|
|
Face Detection (SP)
|
100% |
1553
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
362
4.30 IPS |
|
|
Face Detection (Q)
|
95% |
2035
24.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2074
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
406
3.13 IPS |
|
|
Depth Estimation (Q)
|
64% |
1984
18.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3039
3.94 IPS |
|
|
Style Transfer (HP)
|
90% |
1368
1.77 IPS |
|
|
Style Transfer (Q)
|
98% |
6492
8.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
623
23.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
141
5.22 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1292
47.9 IPS |
|
|
Text Classification (SP)
|
100% |
307
410.2 IPS |
|
|
Text Classification (HP)
|
99% |
306
408.8 IPS |
|
|
Text Classification (Q)
|
88% |
329
444.2 IPS |
|
|
Machine Translation (SP)
|
100% |
567
9.77 IPS |
|
|
Machine Translation (HP)
|
100% |
34
0.59 IPS |
|
|
Machine Translation (Q)
|
50% |
264
9.36 IPS |
