Samsung Galaxy Z Fold4
Geekbench ML Score
827
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 25 2024 09:10 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 11.00 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
398
74.4 IPS |
|
|
Image Classification (F16)
|
100% |
471
88.1 IPS |
|
|
Image Classification (I8)
|
97% |
364
68.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
738
12.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
940
15.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
829
13.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
721
0.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
1235
1.50 IPS |
|
|
Pose Estimation (I8)
|
100% |
1253
1.52 IPS |
|
|
Object Detection (F32)
|
100% |
401
29.9 IPS |
|
|
Object Detection (F16)
|
100% |
342
25.5 IPS |
|
|
Object Detection (I8)
|
62% |
240
17.9 IPS |
|
|
Face Detection (F32)
|
100% |
1780
21.2 IPS |
|
|
Face Detection (F16)
|
97% |
1557
18.5 IPS |
|
|
Face Detection (I8)
|
87% |
1519
18.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1128
8.75 IPS |
|
|
Depth Estimation (F16)
|
100% |
2682
20.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
2583
20.0 IPS |
|
|
Style Transfer (F32)
|
100% |
2857
3.76 IPS |
|
|
Style Transfer (F16)
|
100% |
5454
7.17 IPS |
|
|
Style Transfer (I8)
|
98% |
6687
8.80 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
394
14.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
517
18.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
514
18.4 IPS |
|
|
Text Classification (F32)
|
100% |
288
413.6 IPS |
|
|
Text Classification (F16)
|
100% |
287
412.5 IPS |
|
|
Text Classification (I8)
|
92% |
519
745.4 IPS |
|
|
Machine Translation (F32)
|
100% |
495
9.12 IPS |
|
|
Machine Translation (F16)
|
100% |
499
9.18 IPS |
|
|
Machine Translation (I8)
|
64% |
633
11.6 IPS |
