Google Pixel 9
Geekbench AI Score
313
Single Precision Score
4336
Half Precision Score
8130
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | yasin9300 |
| Upload Date | December 22 2024 09:41 AM |
| Views | 2 |
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% |
221
41.2 IPS |
|
|
Image Classification (HP)
|
100% |
4676
869.5 IPS |
|
|
Image Classification (Q)
|
99% |
6114
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
264
4.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
9130
148.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18907
307.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
340
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
31824
37.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
63113
73.9 IPS |
|
|
Object Detection (SP)
|
100% |
182
14.4 IPS |
|
|
Object Detection (HP)
|
100% |
4935
391.4 IPS |
|
|
Object Detection (Q)
|
87% |
6770
543.0 IPS |
|
|
Face Detection (SP)
|
100% |
438
5.21 IPS |
|
|
Face Detection (HP)
|
100% |
15335
182.2 IPS |
|
|
Face Detection (Q)
|
97% |
33345
397.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
454
3.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
33961
261.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
39830
366.7 IPS |
|
|
Style Transfer (SP)
|
100% |
639
0.82 IPS |
|
|
Style Transfer (HP)
|
100% |
571
0.73 IPS |
|
|
Style Transfer (Q)
|
73% |
2716
3.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
154
5.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8914
329.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
17479
647.7 IPS |
|
|
Text Classification (SP)
|
100% |
303
403.9 IPS |
|
|
Text Classification (HP)
|
100% |
303
404.5 IPS |
|
|
Text Classification (Q)
|
92% |
1647
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
431
7.43 IPS |
|
|
Machine Translation (HP)
|
100% |
437
7.52 IPS |
|
|
Machine Translation (Q)
|
57% |
246
6.00 IPS |
