samsung SM-A256E
Geekbench AI Score
240
Single Precision Score
331
Half Precision Score
344
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | rynoels4 |
| Upload Date | August 28 2024 07:18 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A256E |
| Model ID | samsung SM-A256E |
| 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% |
169
31.4 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.2 IPS |
|
|
Image Classification (Q)
|
97% |
286
53.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
236
3.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
393
6.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
382
6.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
153
0.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
180
0.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
179
0.21 IPS |
|
|
Object Detection (SP)
|
100% |
143
11.3 IPS |
|
|
Object Detection (HP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (Q)
|
92% |
233
18.6 IPS |
|
|
Face Detection (SP)
|
100% |
550
6.53 IPS |
|
|
Face Detection (HP)
|
100% |
821
9.75 IPS |
|
|
Face Detection (Q)
|
97% |
764
9.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
295
2.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
380
2.93 IPS |
|
|
Depth Estimation (Q)
|
72% |
354
2.93 IPS |
|
|
Style Transfer (SP)
|
100% |
596
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
841
1.08 IPS |
|
|
Style Transfer (Q)
|
98% |
838
1.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
159
5.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
244
9.00 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
242
8.98 IPS |
|
|
Text Classification (SP)
|
100% |
169
225.9 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.3 IPS |
|
|
Text Classification (Q)
|
91% |
336
451.0 IPS |
|
|
Machine Translation (SP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (HP)
|
100% |
290
4.99 IPS |
|
|
Machine Translation (Q)
|
57% |
280
6.83 IPS |
