samsung SM-M346B
Geekbench AI Score
436
Single Precision Score
428
Half Precision Score
845
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 04:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-M346B |
| Model ID | samsung SM-M346B |
| Motherboard | s5e8825 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
226
42.1 IPS |
|
|
Image Classification (HP)
|
100% |
223
41.5 IPS |
|
|
Image Classification (Q)
|
100% |
652
121.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
709
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1030
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
949
1.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
1351
1.60 IPS |
|
|
Object Detection (SP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (Q)
|
83% |
549
44.4 IPS |
|
|
Face Detection (SP)
|
100% |
585
6.95 IPS |
|
|
Face Detection (HP)
|
100% |
586
6.96 IPS |
|
|
Face Detection (Q)
|
95% |
1324
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
703
5.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
718
5.53 IPS |
|
|
Depth Estimation (Q)
|
64% |
1283
11.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1558
2.02 IPS |
|
|
Style Transfer (HP)
|
89% |
1549
2.01 IPS |
|
|
Style Transfer (Q)
|
98% |
3231
4.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
378
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
388
14.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
779
28.9 IPS |
|
|
Text Classification (SP)
|
100% |
225
300.9 IPS |
|
|
Text Classification (HP)
|
100% |
221
295.2 IPS |
|
|
Text Classification (Q)
|
88% |
449
605.5 IPS |
|
|
Machine Translation (SP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (HP)
|
100% |
368
6.34 IPS |
|
|
Machine Translation (Q)
|
50% |
285
10.1 IPS |
