Google Pixel 9
Geekbench AI Score
342
Single Precision Score
4314
Half Precision Score
7749
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 12 2025 10:57 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
247
45.9 IPS |
|
|
Image Classification (HP)
|
100% |
5255
977.3 IPS |
|
|
Image Classification (Q)
|
99% |
6824
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
309
5.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
8754
141.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17530
285.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
382
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
31616
36.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
63019
73.8 IPS |
|
|
Object Detection (SP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (HP)
|
100% |
4965
393.8 IPS |
|
|
Object Detection (Q)
|
87% |
6142
492.7 IPS |
|
|
Face Detection (SP)
|
100% |
542
6.44 IPS |
|
|
Face Detection (HP)
|
100% |
16041
190.6 IPS |
|
|
Face Detection (Q)
|
97% |
32029
381.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
475
3.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
31831
245.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
37429
344.6 IPS |
|
|
Style Transfer (SP)
|
100% |
538
0.69 IPS |
|
|
Style Transfer (HP)
|
100% |
529
0.68 IPS |
|
|
Style Transfer (Q)
|
72% |
2773
3.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
220
8.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8717
321.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14516
537.9 IPS |
|
|
Text Classification (SP)
|
100% |
229
305.8 IPS |
|
|
Text Classification (HP)
|
100% |
297
395.8 IPS |
|
|
Text Classification (Q)
|
92% |
1227
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (HP)
|
100% |
443
7.63 IPS |
|
|
Machine Translation (Q)
|
57% |
285
6.96 IPS |
