samsung SM-S931B
Geekbench ML Score
603
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 05 2025 01:29 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S931B |
| Model ID | samsung SM-S931B |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
657
70.4 IPS |
|
|
Image Classification (F16)
|
100% |
466
50.0 IPS |
|
|
Image Classification (I8)
|
81% |
960
102.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
643
3.97 IPS |
|
|
Image Segmentation (F16)
|
100% |
638
3.94 IPS |
|
|
Image Segmentation (I8)
|
89% |
1572
9.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
438
1.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
431
1.74 IPS |
|
|
Pose Estimation (I8)
|
80% |
483
1.95 IPS |
|
|
Object Detection (F32)
|
100% |
399
14.0 IPS |
|
|
Object Detection (F16)
|
100% |
400
14.0 IPS |
|
|
Object Detection (I8)
|
52% |
550
19.3 IPS |
|
|
Face Detection (F32)
|
100% |
805
9.25 IPS |
|
|
Face Detection (F16)
|
100% |
803
9.23 IPS |
|
|
Face Detection (I8)
|
75% |
1249
14.3 IPS |
|
|
Text Classification (F32)
|
100% |
303
120.0 IPS |
|
|
Text Classification (F16)
|
100% |
282
111.6 IPS |
|
|
Machine Translation (F32)
|
100% |
796
122.6 IPS |
|
|
Machine Translation (F16)
|
100% |
807
124.4 IPS |
