Google Pixel 9
Geekbench AI Score
576
Single Precision Score
672
Half Precision Score
655
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 12:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
463
86.0 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.8 IPS |
|
|
Image Classification (Q)
|
99% |
459
85.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1080
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1205
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1135
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
508
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
708
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
703
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
422
33.4 IPS |
|
|
Object Detection (HP)
|
100% |
538
42.7 IPS |
|
|
Object Detection (Q)
|
83% |
574
46.5 IPS |
|
|
Face Detection (SP)
|
100% |
1899
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
2199
26.1 IPS |
|
|
Face Detection (Q)
|
97% |
1699
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1001
7.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
1224
9.43 IPS |
|
|
Depth Estimation (Q)
|
62% |
1013
9.59 IPS |
|
|
Style Transfer (SP)
|
100% |
2684
3.45 IPS |
|
|
Style Transfer (HP)
|
100% |
3410
4.38 IPS |
|
|
Style Transfer (Q)
|
98% |
3232
4.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
540
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
634
23.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
646
23.9 IPS |
|
|
Text Classification (SP)
|
100% |
86
114.8 IPS |
|
|
Text Classification (HP)
|
100% |
87
116.3 IPS |
|
|
Text Classification (Q)
|
91% |
144
193.4 IPS |
|
|
Machine Translation (SP)
|
100% |
161
2.77 IPS |
|
|
Machine Translation (HP)
|
100% |
163
2.81 IPS |
|
|
Machine Translation (Q)
|
57% |
134
3.26 IPS |
