Google Pixel 9 Pro Fold
Geekbench AI Score
281
Single Precision Score
4278
Half Precision Score
7610
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 12:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
185
34.4 IPS |
|
|
Image Classification (HP)
|
100% |
4632
861.3 IPS |
|
|
Image Classification (Q)
|
99% |
6305
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
216
3.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
8555
138.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
18097
294.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
253
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
32126
37.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
62977
73.7 IPS |
|
|
Object Detection (SP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
5043
400.0 IPS |
|
|
Object Detection (Q)
|
87% |
6176
495.4 IPS |
|
|
Face Detection (SP)
|
100% |
441
5.24 IPS |
|
|
Face Detection (HP)
|
100% |
16583
197.0 IPS |
|
|
Face Detection (Q)
|
97% |
28129
335.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
402
3.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
32686
251.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
37972
349.6 IPS |
|
|
Style Transfer (SP)
|
100% |
556
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
538
0.69 IPS |
|
|
Style Transfer (Q)
|
73% |
2969
4.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
211
7.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8754
323.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15121
560.3 IPS |
|
|
Text Classification (SP)
|
100% |
193
257.6 IPS |
|
|
Text Classification (HP)
|
100% |
282
375.8 IPS |
|
|
Text Classification (Q)
|
92% |
1079
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
441
7.60 IPS |
|
|
Machine Translation (HP)
|
100% |
445
7.66 IPS |
|
|
Machine Translation (Q)
|
57% |
284
6.94 IPS |
