samsung SM-F741B
Geekbench ML Score
2603
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | acuesta |
| Upload Date | October 02 2024 05:34 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-F741B |
| Model ID | samsung SM-F741B |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1686
180.6 IPS |
|
|
Image Classification (F16)
|
100% |
2554
273.6 IPS |
|
|
Image Classification (I8)
|
80% |
2342
251.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
4993
30.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
9589
59.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
10671
65.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
3239
13.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
5615
22.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
5516
22.3 IPS |
|
|
Object Detection (F32)
|
100% |
857
30.1 IPS |
|
|
Object Detection (F16)
|
100% |
1094
38.4 IPS |
|
|
Object Detection (I8)
|
53% |
936
32.8 IPS |
|
|
Face Detection (F32)
|
100% |
3860
44.4 IPS |
|
|
Face Detection (F16)
|
97% |
5731
65.8 IPS |
|
|
Face Detection (I8)
|
75% |
4931
56.7 IPS |
|
|
Text Classification (F32)
|
100% |
872
344.7 IPS |
|
|
Text Classification (F16)
|
98% |
962
380.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1376
212.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1378
212.4 IPS |
