samsung SM-F956B
Geekbench ML Score
636
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 17 2025 05:48 AM |
| Views | 4 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
649
69.5 IPS |
|
|
Image Classification (F16)
|
100% |
613
65.7 IPS |
|
|
Image Classification (I8)
|
81% |
493
52.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
932
5.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
918
5.67 IPS |
|
|
Image Segmentation (I8)
|
89% |
866
5.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
382
1.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
371
1.50 IPS |
|
|
Pose Estimation (I8)
|
80% |
125
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
444
15.6 IPS |
|
|
Object Detection (F16)
|
100% |
443
15.5 IPS |
|
|
Object Detection (I8)
|
52% |
470
16.5 IPS |
|
|
Face Detection (F32)
|
100% |
892
10.2 IPS |
|
|
Face Detection (F16)
|
100% |
901
10.3 IPS |
|
|
Face Detection (I8)
|
75% |
595
6.83 IPS |
|
|
Text Classification (F32)
|
100% |
1120
443.2 IPS |
|
|
Text Classification (F16)
|
100% |
1120
442.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1145
176.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1138
175.4 IPS |
