Google Pixel 9
Geekbench AI Score
1983
Single Precision Score
2008
Half Precision Score
2986
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 16 2025 10:29 PM |
| Views | 1 |
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% |
1406
261.4 IPS |
|
|
Image Classification (HP)
|
100% |
1473
273.9 IPS |
|
|
Image Classification (Q)
|
100% |
2384
443.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1718
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1694
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2436
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2908
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2815
3.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
6324
7.50 IPS |
|
|
Object Detection (SP)
|
98% |
1336
106.3 IPS |
|
|
Object Detection (HP)
|
98% |
1505
119.7 IPS |
|
|
Object Detection (Q)
|
83% |
1883
152.1 IPS |
|
|
Face Detection (SP)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
2982
35.4 IPS |
|
|
Face Detection (Q)
|
95% |
4700
56.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3056
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3133
24.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4865
44.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6979
9.06 IPS |
|
|
Style Transfer (HP)
|
89% |
6822
8.86 IPS |
|
|
Style Transfer (Q)
|
98% |
13393
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1536
56.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1560
57.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3551
131.6 IPS |
|
|
Text Classification (SP)
|
100% |
705
940.9 IPS |
|
|
Text Classification (HP)
|
99% |
706
942.5 IPS |
|
|
Text Classification (Q)
|
88% |
1125
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1458
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1441
24.8 IPS |
|
|
Machine Translation (Q)
|
50% |
667
23.7 IPS |
