samsung SM-A336B
Geekbench AI Score
407
Single Precision Score
400
Half Precision Score
784
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 10:43 AM |
| Views | 1 |
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% |
222
41.3 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (Q)
|
100% |
683
127.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
285
4.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
772
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1091
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
995
1.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
1272
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (HP)
|
100% |
166
13.1 IPS |
|
|
Object Detection (Q)
|
83% |
487
39.4 IPS |
|
|
Face Detection (SP)
|
100% |
517
6.14 IPS |
|
|
Face Detection (HP)
|
100% |
512
6.08 IPS |
|
|
Face Detection (Q)
|
95% |
1176
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
646
4.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
657
5.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
1140
10.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1386
1.80 IPS |
|
|
Style Transfer (HP)
|
89% |
1376
1.79 IPS |
|
|
Style Transfer (Q)
|
98% |
2873
3.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
364
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
346
12.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
692
25.6 IPS |
|
|
Text Classification (SP)
|
100% |
200
266.5 IPS |
|
|
Text Classification (HP)
|
100% |
197
262.6 IPS |
|
|
Text Classification (Q)
|
88% |
399
538.6 IPS |
|
|
Machine Translation (SP)
|
100% |
333
5.74 IPS |
|
|
Machine Translation (HP)
|
100% |
326
5.62 IPS |
|
|
Machine Translation (Q)
|
50% |
255
9.04 IPS |
