Google Pixel 9
Geekbench AI Score
1958
Single Precision Score
1953
Half Precision Score
2908
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | yoshilow |
| Upload Date | March 31 2025 10:56 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1501
279.1 IPS |
|
|
Image Classification (HP)
|
100% |
1500
279.0 IPS |
|
|
Image Classification (Q)
|
100% |
2221
413.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1687
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1715
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2373
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2836
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2845
3.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
6117
7.25 IPS |
|
|
Object Detection (SP)
|
98% |
1437
114.3 IPS |
|
|
Object Detection (HP)
|
98% |
1430
113.8 IPS |
|
|
Object Detection (Q)
|
83% |
1865
150.7 IPS |
|
|
Face Detection (SP)
|
100% |
2834
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
2871
34.1 IPS |
|
|
Face Detection (Q)
|
95% |
4614
55.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2908
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3000
23.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4791
43.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6857
8.90 IPS |
|
|
Style Transfer (HP)
|
89% |
6534
8.48 IPS |
|
|
Style Transfer (Q)
|
98% |
13205
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1507
55.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1541
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2951
109.3 IPS |
|
|
Text Classification (SP)
|
100% |
675
900.5 IPS |
|
|
Text Classification (HP)
|
99% |
650
867.6 IPS |
|
|
Text Classification (Q)
|
88% |
1228
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1402
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1370
23.6 IPS |
|
|
Machine Translation (Q)
|
50% |
682
24.2 IPS |
