Google Pixel 9
Geekbench AI Score
242
Single Precision Score
4290
Half Precision Score
7526
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 12:56 PM |
| 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% |
85
15.8 IPS |
|
|
Image Classification (HP)
|
100% |
5481
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
5515
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
202
3.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
9800
158.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
18043
293.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
222
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
31908
37.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
63805
74.7 IPS |
|
|
Object Detection (SP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (HP)
|
100% |
4945
392.3 IPS |
|
|
Object Detection (Q)
|
87% |
6352
509.5 IPS |
|
|
Face Detection (SP)
|
100% |
369
4.39 IPS |
|
|
Face Detection (HP)
|
100% |
15287
181.6 IPS |
|
|
Face Detection (Q)
|
97% |
33704
401.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
354
2.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
33829
260.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
37388
344.2 IPS |
|
|
Style Transfer (SP)
|
100% |
508
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
491
0.63 IPS |
|
|
Style Transfer (Q)
|
72% |
2483
3.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
188
6.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8675
320.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15440
572.1 IPS |
|
|
Text Classification (SP)
|
100% |
251
334.6 IPS |
|
|
Text Classification (HP)
|
100% |
272
362.5 IPS |
|
|
Text Classification (Q)
|
92% |
1077
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
352
6.07 IPS |
|
|
Machine Translation (HP)
|
100% |
416
7.16 IPS |
|
|
Machine Translation (Q)
|
57% |
278
6.80 IPS |
