samsung SM-F956B
Geekbench ML Score
2920
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 17 2025 05:40 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-F956B |
| Model ID | samsung SM-F956B |
| 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% |
2300
246.4 IPS |
|
|
Image Classification (F16)
|
100% |
3252
348.4 IPS |
|
|
Image Classification (I8)
|
80% |
2963
317.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
6313
39.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
9787
60.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
9531
58.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
3471
14.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
6263
25.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
6158
24.9 IPS |
|
|
Object Detection (F32)
|
100% |
1089
38.2 IPS |
|
|
Object Detection (F16)
|
100% |
1396
49.0 IPS |
|
|
Object Detection (I8)
|
53% |
1183
41.5 IPS |
|
|
Face Detection (F32)
|
100% |
4007
46.0 IPS |
|
|
Face Detection (F16)
|
97% |
6381
73.3 IPS |
|
|
Face Detection (I8)
|
75% |
4966
57.1 IPS |
|
|
Text Classification (F32)
|
100% |
952
376.3 IPS |
|
|
Text Classification (F16)
|
98% |
1057
418.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1312
202.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1321
203.7 IPS |
