Google Pixel 9
Geekbench AI Score
1057
Single Precision Score
1055
Half Precision Score
1560
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 11 2025 03:38 AM |
| Views | 2 |
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% |
613
113.9 IPS |
|
|
Image Classification (HP)
|
100% |
640
119.1 IPS |
|
|
Image Classification (Q)
|
100% |
1074
199.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
824
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1130
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2102
2.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2071
2.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
4530
5.37 IPS |
|
|
Object Detection (SP)
|
98% |
971
77.3 IPS |
|
|
Object Detection (HP)
|
98% |
978
77.8 IPS |
|
|
Object Detection (Q)
|
83% |
1128
91.2 IPS |
|
|
Face Detection (SP)
|
100% |
1860
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
1752
20.8 IPS |
|
|
Face Detection (Q)
|
95% |
2393
28.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1512
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1511
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2296
21.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3278
4.25 IPS |
|
|
Style Transfer (HP)
|
89% |
3329
4.32 IPS |
|
|
Style Transfer (Q)
|
98% |
6668
8.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
741
27.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
749
27.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1686
62.5 IPS |
|
|
Text Classification (SP)
|
100% |
336
448.9 IPS |
|
|
Text Classification (HP)
|
99% |
334
445.9 IPS |
|
|
Text Classification (Q)
|
88% |
528
712.0 IPS |
|
|
Machine Translation (SP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (Q)
|
50% |
423
15.0 IPS |
