Google Pixel 9
Geekbench AI Score
1097
Single Precision Score
1602
Half Precision Score
1232
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 08:39 PM |
| Views | 3 |
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% |
661
122.9 IPS |
|
|
Image Classification (HP)
|
100% |
598
111.2 IPS |
|
|
Image Classification (Q)
|
97% |
423
79.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2357
38.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1606
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5313
6.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
13692
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12923
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
608
48.2 IPS |
|
|
Object Detection (HP)
|
99% |
612
48.6 IPS |
|
|
Object Detection (Q)
|
83% |
1044
84.3 IPS |
|
|
Face Detection (SP)
|
100% |
2545
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
3551
42.2 IPS |
|
|
Face Detection (Q)
|
96% |
2851
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3627
27.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
6199
47.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4855
46.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8078
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21594
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19933
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1912
70.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2472
91.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2305
85.4 IPS |
|
|
Text Classification (SP)
|
35% |
21
195.2 IPS |
|
|
Text Classification (HP)
|
35% |
26
239.4 IPS |
|
|
Text Classification (Q)
|
32% |
19
251.6 IPS |
|
|
Machine Translation (SP)
|
100% |
270
4.64 IPS |
|
|
Machine Translation (HP)
|
100% |
310
5.35 IPS |
|
|
Machine Translation (Q)
|
43% |
73
4.24 IPS |
