Google Pixel 9
Geekbench AI Score
293
Single Precision Score
4356
Half Precision Score
8235
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 07 2025 03:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
131
24.3 IPS |
|
|
Image Classification (HP)
|
100% |
4195
780.1 IPS |
|
|
Image Classification (Q)
|
99% |
6062
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
199
3.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
8532
138.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
18143
295.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
235
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
31441
36.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
64324
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (HP)
|
100% |
5139
407.6 IPS |
|
|
Object Detection (Q)
|
87% |
6652
533.6 IPS |
|
|
Face Detection (SP)
|
100% |
438
5.20 IPS |
|
|
Face Detection (HP)
|
100% |
15950
189.5 IPS |
|
|
Face Detection (Q)
|
97% |
33657
401.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
462
3.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
32636
251.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
38806
357.2 IPS |
|
|
Style Transfer (SP)
|
100% |
600
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
555
0.71 IPS |
|
|
Style Transfer (Q)
|
73% |
3252
4.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
223
8.24 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8839
326.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16086
596.1 IPS |
|
|
Text Classification (SP)
|
100% |
304
405.3 IPS |
|
|
Text Classification (HP)
|
100% |
335
447.3 IPS |
|
|
Text Classification (Q)
|
92% |
1272
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
517
8.91 IPS |
|
|
Machine Translation (HP)
|
100% |
498
8.57 IPS |
|
|
Machine Translation (Q)
|
57% |
351
8.57 IPS |
