Google Pixel 9
Geekbench AI Score
1886
Single Precision Score
1823
Half Precision Score
2792
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 10:55 AM |
| Views | 1 |
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% |
1392
258.9 IPS |
|
|
Image Classification (HP)
|
100% |
1475
274.3 IPS |
|
|
Image Classification (Q)
|
100% |
2394
445.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1689
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1717
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2373
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2856
3.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2800
3.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
6156
7.30 IPS |
|
|
Object Detection (SP)
|
98% |
1469
116.9 IPS |
|
|
Object Detection (HP)
|
98% |
1382
110.0 IPS |
|
|
Object Detection (Q)
|
83% |
1936
156.4 IPS |
|
|
Face Detection (SP)
|
100% |
2900
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
2877
34.2 IPS |
|
|
Face Detection (Q)
|
95% |
4828
57.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3096
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2998
23.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4933
45.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6906
8.97 IPS |
|
|
Style Transfer (HP)
|
89% |
6771
8.79 IPS |
|
|
Style Transfer (Q)
|
98% |
12389
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1443
53.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1293
47.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2988
110.7 IPS |
|
|
Text Classification (SP)
|
100% |
519
692.5 IPS |
|
|
Text Classification (HP)
|
99% |
516
689.2 IPS |
|
|
Text Classification (Q)
|
88% |
935
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1067
18.4 IPS |
|
|
Machine Translation (Q)
|
50% |
516
18.3 IPS |
