Google Pixel Fold
Geekbench ML Score
616
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | December 08 2023 04:08 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel Fold |
| Model ID | Google Pixel Fold |
| Motherboard | felix |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.35 GHz |
| Cluster 3 | 2 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 11.19 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
347
64.9 IPS |
|
|
Image Classification (F16)
|
100% |
314
58.7 IPS |
|
|
Image Classification (I8)
|
97% |
632
118.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
406
6.78 IPS |
|
|
Image Segmentation (F16)
|
100% |
406
6.77 IPS |
|
|
Image Segmentation (I8)
|
98% |
639
10.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
711
0.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
696
0.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
3242
3.93 IPS |
|
|
Object Detection (F32)
|
100% |
263
19.6 IPS |
|
|
Object Detection (F16)
|
100% |
250
18.7 IPS |
|
|
Object Detection (I8)
|
61% |
519
38.7 IPS |
|
|
Face Detection (F32)
|
100% |
629
7.48 IPS |
|
|
Face Detection (F16)
|
100% |
609
7.24 IPS |
|
|
Face Detection (I8)
|
86% |
1458
17.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
676
5.24 IPS |
|
|
Depth Estimation (F16)
|
100% |
646
5.01 IPS |
|
|
Depth Estimation (I8)
|
95% |
1221
9.47 IPS |
|
|
Style Transfer (F32)
|
100% |
1121
1.47 IPS |
|
|
Style Transfer (F16)
|
100% |
1079
1.42 IPS |
|
|
Style Transfer (I8)
|
98% |
2115
2.78 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
407
14.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
404
14.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1320
47.1 IPS |
|
|
Text Classification (F32)
|
100% |
370
531.8 IPS |
|
|
Text Classification (F16)
|
100% |
406
583.6 IPS |
|
|
Text Classification (I8)
|
92% |
338
486.4 IPS |
|
|
Machine Translation (F32)
|
100% |
767
14.1 IPS |
|
|
Machine Translation (F16)
|
100% |
616
11.3 IPS |
|
|
Machine Translation (I8)
|
64% |
311
5.73 IPS |
