samsung SM-A716U1
Geekbench AI Score
552
Single Precision Score
550
Half Precision Score
1002
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 07 2025 11:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
255
47.4 IPS |
|
|
Image Classification (HP)
|
100% |
255
47.4 IPS |
|
|
Image Classification (Q)
|
100% |
683
127.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
756
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1191
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1172
1.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
1677
1.99 IPS |
|
|
Object Detection (SP)
|
100% |
245
19.4 IPS |
|
|
Object Detection (HP)
|
100% |
249
19.8 IPS |
|
|
Object Detection (Q)
|
83% |
686
55.4 IPS |
|
|
Face Detection (SP)
|
100% |
771
9.16 IPS |
|
|
Face Detection (HP)
|
100% |
777
9.23 IPS |
|
|
Face Detection (Q)
|
95% |
1551
18.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
973
7.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
929
7.16 IPS |
|
|
Depth Estimation (Q)
|
64% |
1520
13.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1940
2.52 IPS |
|
|
Style Transfer (HP)
|
89% |
1941
2.52 IPS |
|
|
Style Transfer (Q)
|
98% |
3845
4.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
541
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
548
20.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
934
34.6 IPS |
|
|
Text Classification (SP)
|
100% |
290
386.7 IPS |
|
|
Text Classification (HP)
|
100% |
286
381.5 IPS |
|
|
Text Classification (Q)
|
88% |
554
747.1 IPS |
|
|
Machine Translation (SP)
|
100% |
502
8.64 IPS |
|
|
Machine Translation (HP)
|
100% |
503
8.66 IPS |
|
|
Machine Translation (Q)
|
50% |
369
13.1 IPS |
