Google Pixel 9
Geekbench AI Score
309
Single Precision Score
4770
Half Precision Score
7616
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 07 2025 05:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
220
40.9 IPS |
|
|
Image Classification (HP)
|
100% |
5558
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
6949
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
263
4.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
8598
139.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19120
310.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
335
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
31763
37.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
63616
74.5 IPS |
|
|
Object Detection (SP)
|
100% |
70
5.53 IPS |
|
|
Object Detection (HP)
|
100% |
5824
461.9 IPS |
|
|
Object Detection (Q)
|
87% |
7014
562.6 IPS |
|
|
Face Detection (SP)
|
100% |
507
6.02 IPS |
|
|
Face Detection (HP)
|
100% |
20632
245.1 IPS |
|
|
Face Detection (Q)
|
97% |
32473
387.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
442
3.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
33887
261.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
40764
375.3 IPS |
|
|
Style Transfer (SP)
|
100% |
666
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
661
0.85 IPS |
|
|
Style Transfer (Q)
|
72% |
1673
2.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
238
8.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9408
347.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16453
609.7 IPS |
|
|
Text Classification (SP)
|
100% |
337
449.4 IPS |
|
|
Text Classification (HP)
|
100% |
331
441.3 IPS |
|
|
Text Classification (Q)
|
92% |
1147
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.26 IPS |
|
|
Machine Translation (Q)
|
57% |
265
6.48 IPS |
