Google Pixel 9 Pro Fold
Geekbench AI Score
363
Single Precision Score
4449
Half Precision Score
6182
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | naaajsboy |
| Upload Date | September 13 2024 01:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 9 Pro Fold |
| Model ID | Google Pixel 9 Pro Fold |
| Motherboard | comet |
| 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% |
260
48.4 IPS |
|
|
Image Classification (HP)
|
100% |
4317
802.9 IPS |
|
|
Image Classification (Q)
|
99% |
6109
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
321
5.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
8771
142.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18196
295.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
392
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
31750
37.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
63523
74.4 IPS |
|
|
Object Detection (SP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
4938
391.7 IPS |
|
|
Object Detection (Q)
|
87% |
7022
563.2 IPS |
|
|
Face Detection (SP)
|
100% |
494
5.87 IPS |
|
|
Face Detection (HP)
|
100% |
16510
196.2 IPS |
|
|
Face Detection (Q)
|
97% |
33108
394.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
477
3.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
32318
249.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
37950
349.3 IPS |
|
|
Style Transfer (SP)
|
100% |
684
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
650
0.84 IPS |
|
|
Style Transfer (Q)
|
27% |
211
4.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
222
8.20 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8971
331.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16052
594.8 IPS |
|
|
Text Classification (SP)
|
100% |
303
404.0 IPS |
|
|
Text Classification (HP)
|
100% |
335
447.1 IPS |
|
|
Text Classification (Q)
|
92% |
1162
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
535
9.22 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (Q)
|
57% |
333
8.15 IPS |
