Google Pixel 9
Geekbench AI Score
1702
Single Precision Score
1703
Half Precision Score
2483
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 05:38 AM |
| 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 | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1446
268.9 IPS |
|
|
Image Classification (HP)
|
100% |
1563
290.7 IPS |
|
|
Image Classification (Q)
|
100% |
2394
445.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1709
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1704
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2450
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2770
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
2737
3.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
6041
7.16 IPS |
|
|
Object Detection (SP)
|
98% |
1463
116.4 IPS |
|
|
Object Detection (HP)
|
98% |
1470
117.0 IPS |
|
|
Object Detection (Q)
|
83% |
2119
171.2 IPS |
|
|
Face Detection (SP)
|
100% |
2935
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
2913
34.6 IPS |
|
|
Face Detection (Q)
|
95% |
4714
56.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2980
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2810
21.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4462
40.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6327
8.21 IPS |
|
|
Style Transfer (HP)
|
89% |
5413
7.03 IPS |
|
|
Style Transfer (Q)
|
98% |
8752
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
945
34.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
944
34.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1890
70.0 IPS |
|
|
Text Classification (SP)
|
100% |
387
516.1 IPS |
|
|
Text Classification (HP)
|
99% |
464
618.7 IPS |
|
|
Text Classification (Q)
|
88% |
769
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1011
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (Q)
|
50% |
444
15.8 IPS |
