Google Pixel 9
Geekbench AI Score
1798
Single Precision Score
1795
Half Precision Score
2611
Quantized Score
Geekbench AI 1.4.0 Corporate for Android AArch64
Result Information
| Upload Date | June 25 2025 12:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1554
288.9 IPS |
|
|
Image Classification (HP)
|
100% |
1563
290.6 IPS |
|
|
Image Classification (Q)
|
100% |
2305
428.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1710
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1734
28.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2473
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2885
3.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2806
3.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
6227
7.38 IPS |
|
|
Object Detection (SP)
|
98% |
1514
120.5 IPS |
|
|
Object Detection (HP)
|
98% |
1534
122.1 IPS |
|
|
Object Detection (Q)
|
83% |
2257
182.3 IPS |
|
|
Face Detection (SP)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
2904
34.5 IPS |
|
|
Face Detection (Q)
|
95% |
4402
52.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2763
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2841
22.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3779
34.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5502
7.14 IPS |
|
|
Style Transfer (HP)
|
89% |
5141
6.67 IPS |
|
|
Style Transfer (Q)
|
98% |
9778
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1059
39.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1133
41.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2381
88.2 IPS |
|
|
Text Classification (SP)
|
100% |
515
687.3 IPS |
|
|
Text Classification (HP)
|
99% |
540
720.3 IPS |
|
|
Text Classification (Q)
|
88% |
944
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1216
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1150
19.8 IPS |
|
|
Machine Translation (Q)
|
50% |
503
17.9 IPS |
