Google Pixel 9
Geekbench AI Score
378
Single Precision Score
4733
Half Precision Score
6326
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | pteigland |
| Upload Date | December 05 2024 04:32 AM |
| Views | 8 |
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% |
238
44.3 IPS |
|
|
Image Classification (HP)
|
100% |
4426
823.0 IPS |
|
|
Image Classification (Q)
|
99% |
6810
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
286
4.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
8676
140.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16960
275.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
377
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
31450
36.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
63885
74.8 IPS |
|
|
Object Detection (SP)
|
100% |
221
17.6 IPS |
|
|
Object Detection (HP)
|
100% |
5731
454.6 IPS |
|
|
Object Detection (Q)
|
87% |
6941
556.8 IPS |
|
|
Face Detection (SP)
|
100% |
559
6.64 IPS |
|
|
Face Detection (HP)
|
100% |
16997
202.0 IPS |
|
|
Face Detection (Q)
|
97% |
33725
402.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
480
3.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
34500
265.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
40115
369.3 IPS |
|
|
Style Transfer (SP)
|
100% |
730
0.94 IPS |
|
|
Style Transfer (HP)
|
100% |
728
0.94 IPS |
|
|
Style Transfer (Q)
|
27% |
204
4.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
263
9.70 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9681
357.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
17187
636.9 IPS |
|
|
Text Classification (SP)
|
100% |
375
500.9 IPS |
|
|
Text Classification (HP)
|
100% |
375
500.3 IPS |
|
|
Text Classification (Q)
|
92% |
1159
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
545
9.38 IPS |
|
|
Machine Translation (HP)
|
100% |
526
9.07 IPS |
|
|
Machine Translation (Q)
|
57% |
365
8.93 IPS |
