Google Pixel 9
Geekbench AI Score
2005
Single Precision Score
2013
Half Precision Score
3021
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Tobias_b |
| Upload Date | December 20 2024 02:13 AM |
| Views | 7 |
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% |
1546
287.4 IPS |
|
|
Image Classification (HP)
|
100% |
1546
287.6 IPS |
|
|
Image Classification (Q)
|
100% |
2375
441.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1724
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2414
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2891
3.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2830
3.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
6283
7.45 IPS |
|
|
Object Detection (SP)
|
98% |
1419
112.9 IPS |
|
|
Object Detection (HP)
|
98% |
1487
118.3 IPS |
|
|
Object Detection (Q)
|
83% |
2200
177.7 IPS |
|
|
Face Detection (SP)
|
100% |
3011
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
2987
35.5 IPS |
|
|
Face Detection (Q)
|
95% |
4691
56.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2973
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3017
23.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4813
44.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7072
9.18 IPS |
|
|
Style Transfer (HP)
|
89% |
7032
9.13 IPS |
|
|
Style Transfer (Q)
|
98% |
13196
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1524
56.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1599
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3344
123.9 IPS |
|
|
Text Classification (SP)
|
100% |
674
899.8 IPS |
|
|
Text Classification (HP)
|
99% |
669
892.8 IPS |
|
|
Text Classification (Q)
|
88% |
1130
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1478
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1466
25.3 IPS |
|
|
Machine Translation (Q)
|
50% |
710
25.2 IPS |
