samsung SM-X306B
Geekbench AI Score
101
Single Precision Score
135
Half Precision Score
387
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | i9602097 |
| Upload Date | February 08 2025 10:04 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X306B |
| Model ID | samsung SM-X306B |
| Motherboard | s5e8835 |
| 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 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
95
17.7 IPS |
|
|
Image Classification (HP)
|
100% |
94
17.4 IPS |
|
|
Image Classification (Q)
|
99% |
254
47.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
273
4.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
425
6.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
348
5.66 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
0.11 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
2.87 IPS |
|
|
Pose Estimation (Q)
|
98% |
633
0.74 IPS |
|
|
Object Detection (SP)
|
100% |
93
7.41 IPS |
|
|
Object Detection (HP)
|
100% |
100
7.93 IPS |
|
|
Object Detection (Q)
|
87% |
264
21.2 IPS |
|
|
Face Detection (SP)
|
100% |
249
2.95 IPS |
|
|
Face Detection (HP)
|
100% |
251
2.98 IPS |
|
|
Face Detection (Q)
|
97% |
541
6.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
210
1.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
210
1.62 IPS |
|
|
Depth Estimation (Q)
|
64% |
504
4.58 IPS |
|
|
Style Transfer (SP)
|
100% |
372
0.48 IPS |
|
|
Style Transfer (HP)
|
100% |
382
0.49 IPS |
|
|
Style Transfer (Q)
|
98% |
1023
1.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
82
3.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
835
30.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
350
13.0 IPS |
|
|
Text Classification (SP)
|
100% |
131
175.5 IPS |
|
|
Text Classification (HP)
|
100% |
131
175.3 IPS |
|
|
Text Classification (Q)
|
91% |
248
333.2 IPS |
|
|
Machine Translation (SP)
|
100% |
231
3.97 IPS |
|
|
Machine Translation (HP)
|
100% |
232
3.99 IPS |
|
|
Machine Translation (Q)
|
57% |
212
5.19 IPS |
