Google Pixel 9
Geekbench AI Score
580
Single Precision Score
701
Half Precision Score
665
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 12:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| 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% |
453
84.2 IPS |
|
|
Image Classification (HP)
|
100% |
638
118.7 IPS |
|
|
Image Classification (Q)
|
97% |
454
84.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1047
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1215
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1152
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
508
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
711
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
708
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (HP)
|
100% |
536
42.5 IPS |
|
|
Object Detection (Q)
|
92% |
543
43.4 IPS |
|
|
Face Detection (SP)
|
100% |
1835
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
2099
24.9 IPS |
|
|
Face Detection (Q)
|
97% |
1697
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
999
7.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
1255
9.67 IPS |
|
|
Depth Estimation (Q)
|
72% |
1156
9.57 IPS |
|
|
Style Transfer (SP)
|
100% |
2685
3.45 IPS |
|
|
Style Transfer (HP)
|
100% |
3566
4.58 IPS |
|
|
Style Transfer (Q)
|
98% |
3522
4.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
569
21.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
680
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
654
24.3 IPS |
|
|
Text Classification (SP)
|
100% |
98
130.2 IPS |
|
|
Text Classification (HP)
|
100% |
98
130.4 IPS |
|
|
Text Classification (Q)
|
91% |
162
217.6 IPS |
|
|
Machine Translation (SP)
|
100% |
157
2.70 IPS |
|
|
Machine Translation (HP)
|
100% |
156
2.68 IPS |
|
|
Machine Translation (Q)
|
57% |
115
2.82 IPS |
