samsung SM-F741B
Geekbench ML Score
583
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | acuesta |
| Upload Date | October 02 2024 05:32 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
634
67.9 IPS |
|
|
Image Classification (F16)
|
100% |
633
67.8 IPS |
|
|
Image Classification (I8)
|
81% |
204
21.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
979
6.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
989
6.11 IPS |
|
|
Image Segmentation (I8)
|
89% |
1051
6.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
527
2.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
494
2.00 IPS |
|
|
Pose Estimation (I8)
|
80% |
289
1.17 IPS |
|
|
Object Detection (F32)
|
100% |
621
21.8 IPS |
|
|
Object Detection (F16)
|
100% |
539
18.9 IPS |
|
|
Object Detection (I8)
|
52% |
316
11.1 IPS |
|
|
Face Detection (F32)
|
100% |
1086
12.5 IPS |
|
|
Face Detection (F16)
|
100% |
1071
12.3 IPS |
|
|
Face Detection (I8)
|
75% |
535
6.15 IPS |
|
|
Text Classification (F32)
|
100% |
314
124.2 IPS |
|
|
Text Classification (F16)
|
100% |
327
129.2 IPS |
|
|
Machine Translation (F32)
|
100% |
917
141.3 IPS |
|
|
Machine Translation (F16)
|
100% |
915
141.1 IPS |
