Google Pixel 9 Pro Fold
Geekbench AI Score
1343
Single Precision Score
234
Half Precision Score
1568
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 29 2024 05:56 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 | 14.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1218
226.5 IPS |
|
|
Image Classification (HP)
|
100% |
65
12.1 IPS |
|
|
Image Classification (Q)
|
100% |
1630
303.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1563
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
276
4.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
1919
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2708
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
920
1.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
3659
4.34 IPS |
|
|
Object Detection (SP)
|
98% |
682
54.2 IPS |
|
|
Object Detection (HP)
|
100% |
77
6.12 IPS |
|
|
Object Detection (Q)
|
83% |
868
70.1 IPS |
|
|
Face Detection (SP)
|
100% |
1866
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
361
4.29 IPS |
|
|
Face Detection (Q)
|
95% |
2452
29.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1994
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
391
3.02 IPS |
|
|
Depth Estimation (Q)
|
64% |
2506
23.0 IPS |
|
|
Style Transfer (SP)
|
89% |
5085
6.60 IPS |
|
|
Style Transfer (HP)
|
90% |
1343
1.74 IPS |
|
|
Style Transfer (Q)
|
98% |
8925
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
853
31.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
149
5.50 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1469
54.4 IPS |
|
|
Text Classification (SP)
|
100% |
391
521.2 IPS |
|
|
Text Classification (HP)
|
99% |
392
522.6 IPS |
|
|
Text Classification (Q)
|
88% |
455
614.0 IPS |
|
|
Machine Translation (SP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
35
0.60 IPS |
|
|
Machine Translation (Q)
|
50% |
248
8.81 IPS |
