samsung SM-F711B
Geekbench ML Score
349
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | December 12 2025 08:11 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-F711B |
| Model ID | samsung SM-F711B |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.22 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
311
33.3 IPS |
|
|
Image Classification (F16)
|
100% |
290
31.0 IPS |
|
|
Image Classification (I8)
|
81% |
212
22.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
533
3.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
526
3.25 IPS |
|
|
Image Segmentation (I8)
|
89% |
789
4.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
256
1.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
258
1.04 IPS |
|
|
Pose Estimation (I8)
|
80% |
208
0.84 IPS |
|
|
Object Detection (F32)
|
100% |
266
9.35 IPS |
|
|
Object Detection (F16)
|
100% |
276
9.69 IPS |
|
|
Object Detection (I8)
|
52% |
277
9.73 IPS |
|
|
Face Detection (F32)
|
100% |
386
4.44 IPS |
|
|
Face Detection (F16)
|
100% |
397
4.56 IPS |
|
|
Face Detection (I8)
|
75% |
429
4.93 IPS |
|
|
Text Classification (F32)
|
100% |
356
140.7 IPS |
|
|
Text Classification (F16)
|
100% |
354
140.2 IPS |
|
|
Machine Translation (F32)
|
100% |
470
72.4 IPS |
|
|
Machine Translation (F16)
|
100% |
471
72.6 IPS |
