Google Pixel 9 Pro Fold
Geekbench AI Score
1665
Single Precision Score
1632
Half Precision Score
2422
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Quiltermatt |
| Upload Date | May 21 2025 10:45 AM |
| Views | 8 |
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% |
1525
283.5 IPS |
|
|
Image Classification (HP)
|
100% |
1532
285.0 IPS |
|
|
Image Classification (Q)
|
100% |
2295
426.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1679
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1718
27.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2428
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2967
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2886
3.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
6220
7.38 IPS |
|
|
Object Detection (SP)
|
98% |
1390
110.6 IPS |
|
|
Object Detection (HP)
|
98% |
1345
107.1 IPS |
|
|
Object Detection (Q)
|
83% |
1771
143.1 IPS |
|
|
Face Detection (SP)
|
100% |
2668
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
2315
27.5 IPS |
|
|
Face Detection (Q)
|
95% |
3543
42.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2376
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2158
16.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3366
30.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5032
6.53 IPS |
|
|
Style Transfer (HP)
|
89% |
4947
6.42 IPS |
|
|
Style Transfer (Q)
|
98% |
9387
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1064
39.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1081
39.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2359
87.4 IPS |
|
|
Text Classification (SP)
|
100% |
444
592.3 IPS |
|
|
Text Classification (HP)
|
99% |
472
629.9 IPS |
|
|
Text Classification (Q)
|
88% |
852
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (Q)
|
50% |
504
17.9 IPS |
