Google Pixel 9 Pro
Geekbench AI Score
387
Single Precision Score
4653
Half Precision Score
8483
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 29 2024 04:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 9 Pro |
| Model ID | Google Pixel 9 Pro |
| Motherboard | caiman |
| 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 | 15.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
254
47.2 IPS |
|
|
Image Classification (HP)
|
100% |
4614
858.2 IPS |
|
|
Image Classification (Q)
|
99% |
7404
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
308
5.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
8184
132.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
18173
295.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
372
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
31579
36.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
66201
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
4977
394.7 IPS |
|
|
Object Detection (Q)
|
87% |
6672
535.2 IPS |
|
|
Face Detection (SP)
|
100% |
585
6.95 IPS |
|
|
Face Detection (HP)
|
100% |
17511
208.1 IPS |
|
|
Face Detection (Q)
|
97% |
33737
402.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
499
3.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
34141
263.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
38624
355.6 IPS |
|
|
Style Transfer (SP)
|
100% |
744
0.96 IPS |
|
|
Style Transfer (HP)
|
100% |
720
0.93 IPS |
|
|
Style Transfer (Q)
|
72% |
3256
4.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
276
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8900
328.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16677
618.0 IPS |
|
|
Text Classification (SP)
|
100% |
363
484.8 IPS |
|
|
Text Classification (HP)
|
100% |
391
522.3 IPS |
|
|
Text Classification (Q)
|
92% |
1235
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
574
9.89 IPS |
|
|
Machine Translation (HP)
|
100% |
536
9.24 IPS |
|
|
Machine Translation (Q)
|
57% |
372
9.08 IPS |
