Google Pixel 9
Geekbench AI Score
1654
Single Precision Score
1550
Half Precision Score
2462
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 03:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1505
279.9 IPS |
|
|
Image Classification (HP)
|
100% |
1068
198.6 IPS |
|
|
Image Classification (Q)
|
100% |
2299
427.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1726
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1643
26.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2427
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2740
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2747
3.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
5887
6.98 IPS |
|
|
Object Detection (SP)
|
98% |
1409
112.1 IPS |
|
|
Object Detection (HP)
|
98% |
1180
93.9 IPS |
|
|
Object Detection (Q)
|
83% |
2009
162.3 IPS |
|
|
Face Detection (SP)
|
100% |
2817
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
2602
30.9 IPS |
|
|
Face Detection (Q)
|
95% |
4194
50.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2252
17.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2223
17.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3574
32.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5157
6.69 IPS |
|
|
Style Transfer (HP)
|
89% |
5176
6.72 IPS |
|
|
Style Transfer (Q)
|
98% |
9887
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1046
38.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1041
38.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2359
87.4 IPS |
|
|
Text Classification (SP)
|
100% |
444
592.3 IPS |
|
|
Text Classification (HP)
|
99% |
454
605.3 IPS |
|
|
Text Classification (Q)
|
88% |
782
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1007
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
998
17.2 IPS |
|
|
Machine Translation (Q)
|
50% |
455
16.1 IPS |
