Samsung Galaxy Tab S5e
Geekbench AI Score
90
Single Precision Score
90
Half Precision Score
124
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 22 2024 10:34 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 670 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Tab S5e |
| Model ID | samsung SM-T720 |
| Motherboard | sdm710 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 6 part 2050 revision 13 |
| Base Frequency | 1.71 GHz |
| Cluster 1 | 6 Cores @ 1.71 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
50
9.28 IPS |
|
|
Image Classification (HP)
|
100% |
50
9.26 IPS |
|
|
Image Classification (Q)
|
97% |
76
14.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
68
1.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
69
1.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
90
1.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
101
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
101
0.12 IPS |
|
|
Pose Estimation (Q)
|
98% |
175
0.20 IPS |
|
|
Object Detection (SP)
|
100% |
51
4.04 IPS |
|
|
Object Detection (HP)
|
100% |
51
4.05 IPS |
|
|
Object Detection (Q)
|
89% |
79
6.32 IPS |
|
|
Face Detection (SP)
|
100% |
130
1.55 IPS |
|
|
Face Detection (HP)
|
100% |
132
1.57 IPS |
|
|
Face Detection (Q)
|
97% |
188
2.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
122
0.94 IPS |
|
|
Depth Estimation (HP)
|
100% |
123
0.94 IPS |
|
|
Depth Estimation (Q)
|
73% |
183
1.49 IPS |
|
|
Style Transfer (SP)
|
100% |
232
0.30 IPS |
|
|
Style Transfer (HP)
|
100% |
232
0.30 IPS |
|
|
Style Transfer (Q)
|
98% |
412
0.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61
2.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
61
2.27 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
103
3.83 IPS |
|
|
Text Classification (SP)
|
100% |
73
96.8 IPS |
|
|
Text Classification (HP)
|
100% |
72
96.5 IPS |
|
|
Text Classification (Q)
|
91% |
84
112.5 IPS |
|
|
Machine Translation (SP)
|
100% |
128
2.21 IPS |
|
|
Machine Translation (HP)
|
100% |
129
2.22 IPS |
|
|
Machine Translation (Q)
|
57% |
77
1.88 IPS |
