Google Pixel 9
Geekbench AI Score
1080
Single Precision Score
1631
Half Precision Score
1232
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 02:52 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% |
516
95.9 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.3 IPS |
|
|
Image Classification (Q)
|
97% |
430
80.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1882
30.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5315
6.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
13667
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12967
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
611
48.5 IPS |
|
|
Object Detection (HP)
|
99% |
1008
80.0 IPS |
|
|
Object Detection (Q)
|
83% |
1044
84.3 IPS |
|
|
Face Detection (SP)
|
100% |
2551
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
3742
44.5 IPS |
|
|
Face Detection (Q)
|
96% |
2915
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3645
28.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
6037
46.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
4791
45.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8091
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21281
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20280
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1907
70.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2453
90.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2287
84.8 IPS |
|
|
Text Classification (SP)
|
35% |
21
188.0 IPS |
|
|
Text Classification (HP)
|
35% |
23
209.3 IPS |
|
|
Text Classification (Q)
|
32% |
15
188.0 IPS |
|
|
Machine Translation (SP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.47 IPS |
|
|
Machine Translation (Q)
|
43% |
76
4.44 IPS |
