Samsung Galaxy Tab S5e
Geekbench AI Score
14
Single Precision Score
14
Half Precision Score
8
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | KD8UXA |
| Upload Date | March 05 2025 09:32 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 670 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
2.00 KIPS |
|
|
Image Classification (HP)
|
0% |
0
1.97 KIPS |
|
|
Image Classification (Q)
|
0% |
0
3.13 KIPS |
|
|
Image Segmentation (SP)
|
73% |
9756
168.6 IPS |
|
|
Image Segmentation (HP)
|
73% |
10343
178.7 IPS |
|
|
Image Segmentation (Q)
|
73% |
24968
431.5 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
599.1 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
613.0 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
1.66 KIPS |
|
|
Object Detection (SP)
|
0% |
0
803.2 IPS |
|
|
Object Detection (HP)
|
0% |
0
833.5 IPS |
|
|
Object Detection (Q)
|
0% |
0
625.3 IPS |
|
|
Face Detection (SP)
|
0% |
0
246.4 IPS |
|
|
Face Detection (HP)
|
0% |
0
244.7 IPS |
|
|
Face Detection (Q)
|
0% |
0
423.5 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
633.5 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
626.0 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
540.7 IPS |
|
|
Style Transfer (SP)
|
32% |
91267
1.14 KIPS |
|
|
Style Transfer (HP)
|
32% |
88464
1.11 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
3.74 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.45 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
245
2.89 KIPS |
|
|
Text Classification (SP)
|
29% |
575
9.94 KIPS |
|
|
Text Classification (HP)
|
29% |
569
9.82 KIPS |
|
|
Text Classification (Q)
|
29% |
359
6.20 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
5.06 IPS |
|
|
Machine Translation (HP)
|
0% |
0
4.96 IPS |
|
|
Machine Translation (Q)
|
0% |
0
3.91 IPS |
