Google Pixel 9
Geekbench AI Score
1662
Single Precision Score
1596
Half Precision Score
2378
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 20 2025 06:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1509
280.5 IPS |
|
|
Image Classification (HP)
|
100% |
1551
288.4 IPS |
|
|
Image Classification (Q)
|
100% |
2380
442.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1710
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1700
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2449
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2878
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2779
3.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
6252
7.41 IPS |
|
|
Object Detection (SP)
|
98% |
1442
114.8 IPS |
|
|
Object Detection (HP)
|
98% |
1375
109.4 IPS |
|
|
Object Detection (Q)
|
83% |
1769
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
2832
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
2630
31.3 IPS |
|
|
Face Detection (Q)
|
95% |
4024
48.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2321
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2279
17.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3575
32.7 IPS |
|
|
Style Transfer (SP)
|
89% |
4266
5.54 IPS |
|
|
Style Transfer (HP)
|
89% |
3711
4.82 IPS |
|
|
Style Transfer (Q)
|
98% |
6922
8.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1125
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1062
39.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2373
87.9 IPS |
|
|
Text Classification (SP)
|
100% |
464
619.5 IPS |
|
|
Text Classification (HP)
|
99% |
459
612.7 IPS |
|
|
Text Classification (Q)
|
88% |
786
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (Q)
|
50% |
483
17.2 IPS |
