Google Pixel 9
Geekbench AI Score
541
Single Precision Score
641
Half Precision Score
635
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | jasubhai |
| Upload Date | March 18 2025 07:34 PM |
| Views | 7 |
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% |
457
85.0 IPS |
|
|
Image Classification (HP)
|
100% |
503
93.5 IPS |
|
|
Image Classification (Q)
|
99% |
457
85.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1061
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1032
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
515
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
734
0.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
729
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
336
26.6 IPS |
|
|
Object Detection (HP)
|
100% |
423
33.6 IPS |
|
|
Object Detection (Q)
|
83% |
448
36.2 IPS |
|
|
Face Detection (SP)
|
100% |
1470
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
1666
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
1497
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
987
7.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
1218
9.38 IPS |
|
|
Depth Estimation (Q)
|
62% |
979
9.27 IPS |
|
|
Style Transfer (SP)
|
100% |
2703
3.48 IPS |
|
|
Style Transfer (HP)
|
100% |
3495
4.49 IPS |
|
|
Style Transfer (Q)
|
98% |
3494
4.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
540
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
617
22.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
601
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
86
115.1 IPS |
|
|
Text Classification (HP)
|
100% |
98
130.7 IPS |
|
|
Text Classification (Q)
|
91% |
165
221.4 IPS |
|
|
Machine Translation (SP)
|
100% |
155
2.66 IPS |
|
|
Machine Translation (HP)
|
100% |
167
2.88 IPS |
|
|
Machine Translation (Q)
|
57% |
137
3.34 IPS |
