Samsung Galaxy Z Fold3 5G
Geekbench ML Score
649
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 27 2024 02:08 AM |
| Views | 2 |
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% |
296
55.4 IPS |
|
|
Image Classification (F16)
|
100% |
286
53.5 IPS |
|
|
Image Classification (I8)
|
97% |
745
139.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
378
6.31 IPS |
|
|
Image Segmentation (F16)
|
100% |
374
6.25 IPS |
|
|
Image Segmentation (I8)
|
98% |
576
9.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
639
0.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
611
0.74 IPS |
|
|
Pose Estimation (I8)
|
100% |
2959
3.58 IPS |
|
|
Object Detection (F32)
|
100% |
297
22.1 IPS |
|
|
Object Detection (F16)
|
100% |
311
23.2 IPS |
|
|
Object Detection (I8)
|
61% |
863
64.4 IPS |
|
|
Face Detection (F32)
|
100% |
671
7.98 IPS |
|
|
Face Detection (F16)
|
100% |
670
7.96 IPS |
|
|
Face Detection (I8)
|
86% |
1647
19.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
655
5.08 IPS |
|
|
Depth Estimation (F16)
|
100% |
646
5.01 IPS |
|
|
Depth Estimation (I8)
|
95% |
1748
13.6 IPS |
|
|
Style Transfer (F32)
|
100% |
1263
1.66 IPS |
|
|
Style Transfer (F16)
|
100% |
1250
1.64 IPS |
|
|
Style Transfer (I8)
|
98% |
3009
3.96 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
388
13.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
389
13.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1496
53.4 IPS |
|
|
Text Classification (F32)
|
100% |
360
517.5 IPS |
|
|
Text Classification (F16)
|
100% |
396
569.4 IPS |
|
|
Text Classification (I8)
|
92% |
360
517.5 IPS |
|
|
Machine Translation (F32)
|
100% |
700
12.9 IPS |
|
|
Machine Translation (F16)
|
100% |
727
13.4 IPS |
|
|
Machine Translation (I8)
|
64% |
331
6.10 IPS |
