Google Pixel 9
Geekbench AI Score
752
Single Precision Score
891
Half Precision Score
849
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 30 2025 10:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
447
83.2 IPS |
|
|
Image Classification (HP)
|
100% |
492
91.5 IPS |
|
|
Image Classification (Q)
|
99% |
455
84.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1037
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1195
19.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1106
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
509
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
712
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
708
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
417
33.1 IPS |
|
|
Object Detection (HP)
|
100% |
536
42.5 IPS |
|
|
Object Detection (Q)
|
83% |
551
44.5 IPS |
|
|
Face Detection (SP)
|
100% |
1848
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
2098
24.9 IPS |
|
|
Face Detection (Q)
|
97% |
1675
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
994
7.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
1246
9.60 IPS |
|
|
Depth Estimation (Q)
|
62% |
1002
9.48 IPS |
|
|
Style Transfer (SP)
|
100% |
2690
3.46 IPS |
|
|
Style Transfer (HP)
|
100% |
3578
4.60 IPS |
|
|
Style Transfer (Q)
|
98% |
3524
4.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
567
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
680
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
656
24.3 IPS |
|
|
Text Classification (SP)
|
100% |
388
518.2 IPS |
|
|
Text Classification (HP)
|
100% |
391
521.4 IPS |
|
|
Text Classification (Q)
|
91% |
649
872.4 IPS |
|
|
Machine Translation (SP)
|
100% |
547
9.42 IPS |
|
|
Machine Translation (HP)
|
100% |
567
9.76 IPS |
|
|
Machine Translation (Q)
|
57% |
398
9.73 IPS |
