Google Pixel 9
Geekbench AI Score
1680
Single Precision Score
1669
Half Precision Score
2507
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 01:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1563
290.6 IPS |
|
|
Image Classification (Q)
|
100% |
2399
446.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1708
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1676
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2506
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2712
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2679
3.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
5958
7.07 IPS |
|
|
Object Detection (SP)
|
98% |
1440
114.6 IPS |
|
|
Object Detection (HP)
|
98% |
1453
115.6 IPS |
|
|
Object Detection (Q)
|
83% |
2054
165.9 IPS |
|
|
Face Detection (SP)
|
100% |
2748
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
2587
30.7 IPS |
|
|
Face Detection (Q)
|
95% |
4221
50.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2550
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2541
19.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3462
31.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5310
6.89 IPS |
|
|
Style Transfer (HP)
|
89% |
5218
6.77 IPS |
|
|
Style Transfer (Q)
|
98% |
10017
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1129
41.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1054
38.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2446
90.6 IPS |
|
|
Text Classification (SP)
|
100% |
458
611.9 IPS |
|
|
Text Classification (HP)
|
99% |
465
621.1 IPS |
|
|
Text Classification (Q)
|
88% |
771
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
984
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (Q)
|
50% |
483
17.2 IPS |
