Samsung Galaxy Z Fold3 5G
Geekbench ML Score
582
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 02 2024 12:19 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Fold3 5G |
| Model ID | samsung SM-F926U |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| 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 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 11.09 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
57
10.7 IPS |
|
|
Image Classification (F16)
|
100% |
72
13.5 IPS |
|
|
Image Classification (I8)
|
97% |
732
137.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
390
6.51 IPS |
|
|
Image Segmentation (F16)
|
100% |
376
6.29 IPS |
|
|
Image Segmentation (I8)
|
98% |
535
8.93 IPS |
|
|
Pose Estimation (F32)
|
100% |
659
0.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
637
0.77 IPS |
|
|
Pose Estimation (I8)
|
100% |
2996
3.63 IPS |
|
|
Object Detection (F32)
|
100% |
301
22.4 IPS |
|
|
Object Detection (F16)
|
100% |
304
22.7 IPS |
|
|
Object Detection (I8)
|
61% |
856
63.9 IPS |
|
|
Face Detection (F32)
|
100% |
679
8.07 IPS |
|
|
Face Detection (F16)
|
100% |
658
7.83 IPS |
|
|
Face Detection (I8)
|
86% |
1706
20.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
659
5.11 IPS |
|
|
Depth Estimation (F16)
|
100% |
652
5.06 IPS |
|
|
Depth Estimation (I8)
|
95% |
1715
13.3 IPS |
|
|
Style Transfer (F32)
|
100% |
1259
1.66 IPS |
|
|
Style Transfer (F16)
|
100% |
1262
1.66 IPS |
|
|
Style Transfer (I8)
|
98% |
2946
3.88 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
395
14.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
397
14.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1328
47.4 IPS |
|
|
Text Classification (F32)
|
100% |
382
548.3 IPS |
|
|
Text Classification (F16)
|
100% |
394
565.5 IPS |
|
|
Text Classification (I8)
|
92% |
290
417.5 IPS |
|
|
Machine Translation (F32)
|
100% |
734
13.5 IPS |
|
|
Machine Translation (F16)
|
100% |
709
13.0 IPS |
|
|
Machine Translation (I8)
|
64% |
319
5.86 IPS |
