Google Pixel 9
Geekbench AI Score
1091
Single Precision Score
1680
Half Precision Score
1268
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | satomimipyon |
| Upload Date | September 28 2025 06:11 AM |
| Views | 4 |
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 | 10.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
498
92.6 IPS |
|
|
Image Classification (HP)
|
100% |
513
95.4 IPS |
|
|
Image Classification (Q)
|
97% |
463
86.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2529
41.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2211
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5283
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
13619
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12929
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
606
48.1 IPS |
|
|
Object Detection (HP)
|
99% |
1069
84.8 IPS |
|
|
Object Detection (Q)
|
83% |
1028
83.0 IPS |
|
|
Face Detection (SP)
|
100% |
2383
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
2998
35.6 IPS |
|
|
Face Detection (Q)
|
96% |
2864
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3707
28.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
6490
50.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
4970
47.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8068
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21755
28.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20378
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1907
70.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2463
90.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2283
84.6 IPS |
|
|
Text Classification (SP)
|
35% |
25
224.8 IPS |
|
|
Text Classification (HP)
|
35% |
27
249.7 IPS |
|
|
Text Classification (Q)
|
32% |
16
212.7 IPS |
|
|
Machine Translation (SP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.81 IPS |
|
|
Machine Translation (Q)
|
43% |
75
4.36 IPS |
