Google Pixel 9
Geekbench AI Score
1142
Single Precision Score
1814
Half Precision Score
1331
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 18 2025 06:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
709
131.8 IPS |
|
|
Image Classification (HP)
|
100% |
872
162.1 IPS |
|
|
Image Classification (Q)
|
97% |
657
122.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1553
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2516
40.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2143
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5294
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
13195
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12634
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (HP)
|
99% |
1101
87.3 IPS |
|
|
Object Detection (Q)
|
83% |
1057
85.3 IPS |
|
|
Face Detection (SP)
|
100% |
2743
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
3763
44.7 IPS |
|
|
Face Detection (Q)
|
96% |
2920
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3710
28.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
6568
50.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
5082
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8063
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21604
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20178
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1954
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2508
92.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2341
86.8 IPS |
|
|
Text Classification (SP)
|
35% |
21
191.1 IPS |
|
|
Text Classification (HP)
|
35% |
27
244.5 IPS |
|
|
Text Classification (Q)
|
32% |
17
220.7 IPS |
|
|
Machine Translation (SP)
|
100% |
306
5.27 IPS |
|
|
Machine Translation (HP)
|
100% |
336
5.79 IPS |
|
|
Machine Translation (Q)
|
43% |
78
4.52 IPS |
