samsung SM-A336B
Geekbench AI Score
402
Single Precision Score
392
Half Precision Score
800
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 17 2025 03:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A336B |
| Model ID | samsung SM-A336B |
| 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% |
232
43.1 IPS |
|
|
Image Classification (HP)
|
100% |
218
40.5 IPS |
|
|
Image Classification (Q)
|
100% |
724
134.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
278
4.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
817
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1085
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1033
1.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
1520
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (Q)
|
83% |
485
39.1 IPS |
|
|
Face Detection (SP)
|
100% |
493
5.86 IPS |
|
|
Face Detection (HP)
|
100% |
495
5.88 IPS |
|
|
Face Detection (Q)
|
95% |
1172
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
633
4.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
618
4.76 IPS |
|
|
Depth Estimation (Q)
|
64% |
1135
10.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1363
1.77 IPS |
|
|
Style Transfer (HP)
|
89% |
1353
1.76 IPS |
|
|
Style Transfer (Q)
|
98% |
2878
3.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
330
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
326
12.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
687
25.4 IPS |
|
|
Text Classification (SP)
|
100% |
197
263.6 IPS |
|
|
Text Classification (HP)
|
100% |
195
260.1 IPS |
|
|
Text Classification (Q)
|
88% |
391
527.9 IPS |
|
|
Machine Translation (SP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (HP)
|
100% |
319
5.50 IPS |
|
|
Machine Translation (Q)
|
50% |
241
8.55 IPS |
