Google Pixel 9 Pro Fold
Geekbench AI Score
716
Single Precision Score
870
Half Precision Score
801
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 29 2024 06:05 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 | 14.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
351
65.3 IPS |
|
|
Image Classification (HP)
|
100% |
439
81.6 IPS |
|
|
Image Classification (Q)
|
99% |
438
81.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
983
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1175
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1033
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
508
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
711
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
705
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
395
31.3 IPS |
|
|
Object Detection (HP)
|
100% |
522
41.4 IPS |
|
|
Object Detection (Q)
|
83% |
528
42.7 IPS |
|
|
Face Detection (SP)
|
100% |
1549
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
2029
24.1 IPS |
|
|
Face Detection (Q)
|
97% |
1454
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
987
7.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
1231
9.48 IPS |
|
|
Depth Estimation (Q)
|
62% |
973
9.21 IPS |
|
|
Style Transfer (SP)
|
100% |
2675
3.44 IPS |
|
|
Style Transfer (HP)
|
100% |
3561
4.58 IPS |
|
|
Style Transfer (Q)
|
98% |
3514
4.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
560
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
661
24.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
641
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
399
532.8 IPS |
|
|
Text Classification (HP)
|
100% |
403
537.8 IPS |
|
|
Text Classification (Q)
|
91% |
689
925.7 IPS |
|
|
Machine Translation (SP)
|
100% |
566
9.74 IPS |
|
|
Machine Translation (HP)
|
100% |
548
9.45 IPS |
|
|
Machine Translation (Q)
|
57% |
296
7.24 IPS |
