samsung SM-A336B
Geekbench AI Score
211
Single Precision Score
267
Half Precision Score
331
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 11:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
115
21.4 IPS |
|
|
Image Classification (HP)
|
100% |
114
21.1 IPS |
|
|
Image Classification (Q)
|
99% |
318
59.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
210
3.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
237
3.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
371
6.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
677
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2108
2.46 IPS |
|
|
Pose Estimation (Q)
|
98% |
818
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
115
9.10 IPS |
|
|
Object Detection (HP)
|
100% |
114
9.08 IPS |
|
|
Object Detection (Q)
|
87% |
332
26.6 IPS |
|
|
Face Detection (SP)
|
100% |
295
3.51 IPS |
|
|
Face Detection (HP)
|
100% |
295
3.51 IPS |
|
|
Face Detection (Q)
|
97% |
663
7.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
239
1.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
242
1.87 IPS |
|
|
Depth Estimation (Q)
|
64% |
440
3.99 IPS |
|
|
Style Transfer (SP)
|
100% |
392
0.50 IPS |
|
|
Style Transfer (HP)
|
100% |
312
0.40 IPS |
|
|
Style Transfer (Q)
|
98% |
372
0.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
218
8.04 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
431
16.0 IPS |
|
|
Text Classification (SP)
|
100% |
57
76.0 IPS |
|
|
Text Classification (HP)
|
100% |
168
223.7 IPS |
|
|
Text Classification (Q)
|
91% |
40
54.0 IPS |
|
|
Machine Translation (SP)
|
100% |
275
4.74 IPS |
|
|
Machine Translation (HP)
|
100% |
274
4.71 IPS |
|
|
Machine Translation (Q)
|
57% |
266
6.49 IPS |
