Samsung Galaxy Z Fold4
Geekbench ML Score
708
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 08 2024 12:05 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy Z Fold4 |
| Model ID | samsung SM-F936B |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.99 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
411
76.8 IPS |
|
|
Image Classification (F16)
|
100% |
406
75.9 IPS |
|
|
Image Classification (I8)
|
97% |
550
102.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
452
7.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
421
7.04 IPS |
|
|
Image Segmentation (I8)
|
98% |
524
8.74 IPS |
|
|
Pose Estimation (F32)
|
100% |
797
0.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
791
0.96 IPS |
|
|
Pose Estimation (I8)
|
100% |
3417
4.14 IPS |
|
|
Object Detection (F32)
|
100% |
273
20.3 IPS |
|
|
Object Detection (F16)
|
100% |
315
23.5 IPS |
|
|
Object Detection (I8)
|
61% |
786
58.7 IPS |
|
|
Face Detection (F32)
|
100% |
694
8.25 IPS |
|
|
Face Detection (F16)
|
100% |
672
8.00 IPS |
|
|
Face Detection (I8)
|
86% |
1181
14.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
809
6.27 IPS |
|
|
Depth Estimation (F16)
|
100% |
816
6.33 IPS |
|
|
Depth Estimation (I8)
|
95% |
1707
13.2 IPS |
|
|
Style Transfer (F32)
|
100% |
1605
2.11 IPS |
|
|
Style Transfer (F16)
|
100% |
1562
2.05 IPS |
|
|
Style Transfer (I8)
|
98% |
4095
5.39 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
529
18.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
508
18.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1587
56.7 IPS |
|
|
Text Classification (F32)
|
100% |
431
618.8 IPS |
|
|
Text Classification (F16)
|
100% |
439
631.3 IPS |
|
|
Text Classification (I8)
|
92% |
334
480.7 IPS |
|
|
Machine Translation (F32)
|
100% |
678
12.5 IPS |
|
|
Machine Translation (F16)
|
100% |
676
12.4 IPS |
|
|
Machine Translation (I8)
|
64% |
312
5.75 IPS |
