Google Pixel 9
Geekbench AI Score
290
Single Precision Score
4393
Half Precision Score
9297
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 19 2025 12:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
231
43.0 IPS |
|
|
Image Classification (HP)
|
100% |
6662
1.24 KIPS |
|
|
Image Classification (Q)
|
99% |
10483
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
274
4.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
9087
147.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
18987
308.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
339
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
32048
37.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
65430
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
161
12.8 IPS |
|
|
Object Detection (HP)
|
100% |
5622
445.9 IPS |
|
|
Object Detection (Q)
|
87% |
7589
608.8 IPS |
|
|
Face Detection (SP)
|
100% |
400
4.75 IPS |
|
|
Face Detection (HP)
|
100% |
16313
193.8 IPS |
|
|
Face Detection (Q)
|
97% |
33588
400.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
367
2.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
35121
270.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
42639
392.5 IPS |
|
|
Style Transfer (SP)
|
100% |
526
0.68 IPS |
|
|
Style Transfer (HP)
|
100% |
488
0.63 IPS |
|
|
Style Transfer (Q)
|
72% |
2680
3.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
200
7.37 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10450
385.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19212
711.9 IPS |
|
|
Text Classification (SP)
|
100% |
184
244.9 IPS |
|
|
Text Classification (HP)
|
100% |
194
258.3 IPS |
|
|
Text Classification (Q)
|
92% |
2358
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
438
7.55 IPS |
|
|
Machine Translation (HP)
|
100% |
433
7.46 IPS |
|
|
Machine Translation (Q)
|
57% |
281
6.86 IPS |
