Google Pixel 9
Geekbench AI Score
1898
Single Precision Score
1864
Half Precision Score
2853
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | yasin9300 |
| Upload Date | December 22 2024 09:23 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1422
264.4 IPS |
|
|
Image Classification (HP)
|
100% |
1404
261.1 IPS |
|
|
Image Classification (Q)
|
100% |
2280
424.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1691
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1688
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2338
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2873
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2719
3.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
6273
7.44 IPS |
|
|
Object Detection (SP)
|
98% |
1484
118.1 IPS |
|
|
Object Detection (HP)
|
98% |
1487
118.3 IPS |
|
|
Object Detection (Q)
|
83% |
1930
155.9 IPS |
|
|
Face Detection (SP)
|
100% |
2885
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
2880
34.2 IPS |
|
|
Face Detection (Q)
|
95% |
4858
58.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3044
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3004
23.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4897
44.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6890
8.94 IPS |
|
|
Style Transfer (HP)
|
89% |
6945
9.02 IPS |
|
|
Style Transfer (Q)
|
98% |
13006
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1444
53.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1372
50.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3247
120.3 IPS |
|
|
Text Classification (SP)
|
100% |
560
747.7 IPS |
|
|
Text Classification (HP)
|
99% |
552
736.8 IPS |
|
|
Text Classification (Q)
|
88% |
1057
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1213
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1164
20.1 IPS |
|
|
Machine Translation (Q)
|
50% |
522
18.5 IPS |
