samsung SM-A716U1
Geekbench AI Score
118
Single Precision Score
207
Half Precision Score
212
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mrkoykang |
| Upload Date | April 29 2025 12:44 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-A716U1 |
| Model ID | samsung SM-A716U1 |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 1 Core @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
66
12.2 IPS |
|
|
Image Classification (HP)
|
100% |
117
21.7 IPS |
|
|
Image Classification (Q)
|
97% |
124
23.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
91
1.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
212
3.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
223
3.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
113
0.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
195
0.23 IPS |
|
|
Pose Estimation (Q)
|
95% |
195
0.23 IPS |
|
|
Object Detection (SP)
|
100% |
57
4.50 IPS |
|
|
Object Detection (HP)
|
100% |
89
7.02 IPS |
|
|
Object Detection (Q)
|
89% |
94
7.49 IPS |
|
|
Face Detection (SP)
|
100% |
166
1.98 IPS |
|
|
Face Detection (HP)
|
100% |
357
4.25 IPS |
|
|
Face Detection (Q)
|
97% |
378
4.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
148
1.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
316
2.44 IPS |
|
|
Depth Estimation (Q)
|
62% |
259
2.45 IPS |
|
|
Style Transfer (SP)
|
100% |
264
0.34 IPS |
|
|
Style Transfer (HP)
|
100% |
684
0.88 IPS |
|
|
Style Transfer (Q)
|
98% |
681
0.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67
2.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
132
4.89 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
135
5.01 IPS |
|
|
Text Classification (SP)
|
100% |
139
185.6 IPS |
|
|
Text Classification (HP)
|
100% |
142
189.7 IPS |
|
|
Text Classification (Q)
|
91% |
228
306.2 IPS |
|
|
Machine Translation (SP)
|
100% |
231
3.98 IPS |
|
|
Machine Translation (HP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (Q)
|
57% |
180
4.40 IPS |
