Google Pixel 9
Geekbench AI Score
744
Single Precision Score
876
Half Precision Score
841
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 11:02 AM |
| Views | 2 |
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% |
452
84.1 IPS |
|
|
Image Classification (HP)
|
100% |
489
91.0 IPS |
|
|
Image Classification (Q)
|
99% |
452
84.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1038
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1190
19.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1128
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
509
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
712
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
709
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
417
33.1 IPS |
|
|
Object Detection (HP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (Q)
|
83% |
553
44.8 IPS |
|
|
Face Detection (SP)
|
100% |
1801
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
2097
24.9 IPS |
|
|
Face Detection (Q)
|
97% |
1688
20.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
994
7.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
1250
9.63 IPS |
|
|
Depth Estimation (Q)
|
62% |
1011
9.57 IPS |
|
|
Style Transfer (SP)
|
100% |
2685
3.45 IPS |
|
|
Style Transfer (HP)
|
100% |
3566
4.58 IPS |
|
|
Style Transfer (Q)
|
98% |
3540
4.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
569
21.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
655
24.3 IPS |
|
|
Text Classification (SP)
|
100% |
364
486.0 IPS |
|
|
Text Classification (HP)
|
100% |
362
483.8 IPS |
|
|
Text Classification (Q)
|
91% |
632
849.6 IPS |
|
|
Machine Translation (SP)
|
100% |
526
9.07 IPS |
|
|
Machine Translation (HP)
|
100% |
516
8.88 IPS |
|
|
Machine Translation (Q)
|
57% |
357
8.71 IPS |
