samsung SM-A336M
Geekbench AI Score
412
Single Precision Score
400
Half Precision Score
812
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 15 2025 06:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A336M |
| Model ID | samsung SM-A336M |
| 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% |
236
44.0 IPS |
|
|
Image Classification (HP)
|
100% |
223
41.5 IPS |
|
|
Image Classification (Q)
|
100% |
729
135.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
838
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1052
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1039
1.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
1661
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (Q)
|
83% |
523
42.3 IPS |
|
|
Face Detection (SP)
|
100% |
532
6.32 IPS |
|
|
Face Detection (HP)
|
100% |
481
5.72 IPS |
|
|
Face Detection (Q)
|
95% |
1165
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
681
5.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
624
4.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
1114
10.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1361
1.77 IPS |
|
|
Style Transfer (HP)
|
89% |
1359
1.76 IPS |
|
|
Style Transfer (Q)
|
98% |
2876
3.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
328
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
326
12.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
663
24.6 IPS |
|
|
Text Classification (SP)
|
100% |
197
262.4 IPS |
|
|
Text Classification (HP)
|
100% |
194
259.4 IPS |
|
|
Text Classification (Q)
|
88% |
392
528.1 IPS |
|
|
Machine Translation (SP)
|
100% |
322
5.55 IPS |
|
|
Machine Translation (HP)
|
100% |
322
5.55 IPS |
|
|
Machine Translation (Q)
|
50% |
244
8.67 IPS |
