samsung SM-M556B
Geekbench AI Score
757
Single Precision Score
752
Half Precision Score
1808
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 01:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-M556B |
| Model ID | samsung SM-M556B |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3399 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.36 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 6.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
459
85.4 IPS |
|
|
Image Classification (HP)
|
100% |
402
74.7 IPS |
|
|
Image Classification (Q)
|
100% |
1232
229.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
429
6.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
436
7.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
1425
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1653
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1659
1.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
3983
4.72 IPS |
|
|
Object Detection (SP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (HP)
|
100% |
327
26.0 IPS |
|
|
Object Detection (Q)
|
83% |
1265
102.2 IPS |
|
|
Face Detection (SP)
|
100% |
968
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
979
11.6 IPS |
|
|
Face Detection (Q)
|
95% |
2865
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1375
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1381
10.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3156
28.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2786
3.62 IPS |
|
|
Style Transfer (HP)
|
89% |
2783
3.61 IPS |
|
|
Style Transfer (Q)
|
98% |
8281
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
743
27.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
774
28.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2006
74.3 IPS |
|
|
Text Classification (SP)
|
100% |
358
478.1 IPS |
|
|
Text Classification (HP)
|
100% |
363
484.4 IPS |
|
|
Text Classification (Q)
|
88% |
711
959.5 IPS |
|
|
Machine Translation (SP)
|
100% |
579
9.97 IPS |
|
|
Machine Translation (HP)
|
100% |
579
9.98 IPS |
|
|
Machine Translation (Q)
|
50% |
396
14.1 IPS |
