Google Pixel 9 Pro Fold
Geekbench AI Score
1412
Single Precision Score
1434
Half Precision Score
2045
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 07:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1394
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
1593
296.3 IPS |
|
|
Image Classification (Q)
|
100% |
2347
436.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1730
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1722
27.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2388
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2811
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2329
2.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
3198
3.79 IPS |
|
|
Object Detection (SP)
|
98% |
702
55.9 IPS |
|
|
Object Detection (HP)
|
98% |
699
55.6 IPS |
|
|
Object Detection (Q)
|
83% |
1018
82.2 IPS |
|
|
Face Detection (SP)
|
100% |
1681
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
1830
21.7 IPS |
|
|
Face Detection (Q)
|
95% |
2684
32.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1828
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2074
16.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3263
29.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5051
6.56 IPS |
|
|
Style Transfer (HP)
|
89% |
5174
6.72 IPS |
|
|
Style Transfer (Q)
|
98% |
9736
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1120
41.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1103
40.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2418
89.6 IPS |
|
|
Text Classification (SP)
|
100% |
375
500.5 IPS |
|
|
Text Classification (HP)
|
99% |
386
514.6 IPS |
|
|
Text Classification (Q)
|
88% |
733
988.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (Q)
|
50% |
465
16.5 IPS |
