Google Pixel 9 Pro Fold
Geekbench AI Score
367
Single Precision Score
4576
Half Precision Score
8044
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | cgraff |
| Upload Date | January 21 2025 05:48 AM |
| Views | 22 |
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% |
279
51.9 IPS |
|
|
Image Classification (HP)
|
100% |
5174
962.2 IPS |
|
|
Image Classification (Q)
|
99% |
6314
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
355
5.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
9202
149.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18406
299.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
441
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
31699
37.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
63109
73.9 IPS |
|
|
Object Detection (SP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (HP)
|
100% |
5283
419.1 IPS |
|
|
Object Detection (Q)
|
87% |
6899
553.4 IPS |
|
|
Face Detection (SP)
|
100% |
418
4.97 IPS |
|
|
Face Detection (HP)
|
100% |
15673
186.2 IPS |
|
|
Face Detection (Q)
|
97% |
33712
402.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
564
4.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
32709
252.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
39427
362.9 IPS |
|
|
Style Transfer (SP)
|
100% |
779
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
619
0.80 IPS |
|
|
Style Transfer (Q)
|
73% |
2728
3.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
164
6.06 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9145
337.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16019
593.6 IPS |
|
|
Text Classification (SP)
|
100% |
345
460.2 IPS |
|
|
Text Classification (HP)
|
100% |
345
460.9 IPS |
|
|
Text Classification (Q)
|
92% |
1136
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
533
9.18 IPS |
|
|
Machine Translation (HP)
|
100% |
505
8.70 IPS |
|
|
Machine Translation (Q)
|
57% |
340
8.30 IPS |
