Google Pixel 9
Geekbench AI Score
745
Single Precision Score
903
Half Precision Score
877
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | icpfreak38464 |
| Upload Date | March 22 2025 03:54 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
461
85.7 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.4 IPS |
|
|
Image Classification (Q)
|
99% |
469
87.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
829
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1195
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
531
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
739
0.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
736
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
387
30.7 IPS |
|
|
Object Detection (HP)
|
100% |
529
41.9 IPS |
|
|
Object Detection (Q)
|
83% |
558
45.1 IPS |
|
|
Face Detection (SP)
|
100% |
1876
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
2267
26.9 IPS |
|
|
Face Detection (Q)
|
97% |
2036
24.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1030
7.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
1277
9.84 IPS |
|
|
Depth Estimation (Q)
|
62% |
1027
9.72 IPS |
|
|
Style Transfer (SP)
|
100% |
2772
3.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3593
4.62 IPS |
|
|
Style Transfer (Q)
|
98% |
3601
4.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
582
21.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
666
24.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
665
24.6 IPS |
|
|
Text Classification (SP)
|
100% |
388
518.4 IPS |
|
|
Text Classification (HP)
|
100% |
390
520.2 IPS |
|
|
Text Classification (Q)
|
91% |
623
837.0 IPS |
|
|
Machine Translation (SP)
|
100% |
560
9.64 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.57 IPS |
|
|
Machine Translation (Q)
|
57% |
377
9.20 IPS |
