Google Pixel 9 Pro Fold
Geekbench AI Score
660
Single Precision Score
833
Half Precision Score
787
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 05:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
459
85.4 IPS |
|
|
Image Classification (HP)
|
100% |
478
89.0 IPS |
|
|
Image Classification (Q)
|
99% |
458
85.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
919
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1049
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
977
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
514
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
734
0.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
730
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
342
27.2 IPS |
|
|
Object Detection (HP)
|
100% |
424
33.6 IPS |
|
|
Object Detection (Q)
|
83% |
434
35.1 IPS |
|
|
Face Detection (SP)
|
100% |
1479
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
1646
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
1312
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
975
7.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
1210
9.32 IPS |
|
|
Depth Estimation (Q)
|
62% |
972
9.20 IPS |
|
|
Style Transfer (SP)
|
100% |
2696
3.47 IPS |
|
|
Style Transfer (HP)
|
100% |
3474
4.47 IPS |
|
|
Style Transfer (Q)
|
98% |
3453
4.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
541
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
614
22.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
596
22.1 IPS |
|
|
Text Classification (SP)
|
100% |
171
228.2 IPS |
|
|
Text Classification (HP)
|
100% |
425
567.6 IPS |
|
|
Text Classification (Q)
|
91% |
699
940.1 IPS |
|
|
Machine Translation (SP)
|
100% |
589
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
575
9.91 IPS |
|
|
Machine Translation (Q)
|
57% |
354
8.66 IPS |
