Samsung Galaxy Tab S5e
Geekbench AI Score
13
Single Precision Score
13
Half Precision Score
8
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | May 04 2025 05:13 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 670 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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)
|
0% |
0
1.68 KIPS |
|
|
Image Classification (HP)
|
0% |
0
1.49 KIPS |
|
|
Image Classification (Q)
|
0% |
0
2.47 KIPS |
|
|
Image Segmentation (SP)
|
73% |
10033
173.4 IPS |
|
|
Image Segmentation (HP)
|
73% |
9882
170.8 IPS |
|
|
Image Segmentation (Q)
|
73% |
23270
402.1 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
529.9 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
505.2 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
947.8 IPS |
|
|
Object Detection (SP)
|
0% |
0
684.2 IPS |
|
|
Object Detection (HP)
|
0% |
0
685.5 IPS |
|
|
Object Detection (Q)
|
0% |
0
539.0 IPS |
|
|
Face Detection (SP)
|
0% |
0
235.0 IPS |
|
|
Face Detection (HP)
|
0% |
0
242.2 IPS |
|
|
Face Detection (Q)
|
0% |
0
359.1 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
392.3 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
439.5 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
361.4 IPS |
|
|
Style Transfer (SP)
|
32% |
92374
1.16 KIPS |
|
|
Style Transfer (HP)
|
32% |
91585
1.15 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
2.58 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
181
2.14 KIPS |
|
|
Text Classification (SP)
|
29% |
306
5.29 KIPS |
|
|
Text Classification (HP)
|
29% |
277
4.79 KIPS |
|
|
Text Classification (Q)
|
29% |
259
4.47 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
4.66 IPS |
|
|
Machine Translation (HP)
|
0% |
0
4.39 IPS |
|
|
Machine Translation (Q)
|
0% |
0
3.74 IPS |
