Samsung Galaxy Tab S3
Geekbench AI Score
146
Single Precision Score
206
Half Precision Score
188
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | December 01 2024 11:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 820 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Tab S3 |
| Model ID | samsung SM-T820 |
| Motherboard | msm8996 |
| Governor | blu_schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 1 part 517 revision 2 |
| Base Frequency | 1.59 GHz |
| Cluster 1 | 2 Cores @ 1.59 GHz |
| Cluster 2 | 2 Cores @ 2.15 GHz |
| Memory Information | |
|---|---|
| Size | 3.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
111
20.7 IPS |
|
|
Image Classification (HP)
|
100% |
142
26.4 IPS |
|
|
Image Classification (Q)
|
97% |
138
25.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
248
4.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
242
3.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
143
0.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
244
0.28 IPS |
|
|
Pose Estimation (Q)
|
95% |
242
0.28 IPS |
|
|
Object Detection (SP)
|
100% |
89
7.05 IPS |
|
|
Object Detection (HP)
|
100% |
108
8.59 IPS |
|
|
Object Detection (Q)
|
89% |
107
8.55 IPS |
|
|
Face Detection (SP)
|
100% |
353
4.20 IPS |
|
|
Face Detection (HP)
|
100% |
512
6.09 IPS |
|
|
Face Detection (Q)
|
97% |
492
5.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
223
1.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
387
2.99 IPS |
|
|
Depth Estimation (Q)
|
62% |
313
2.97 IPS |
|
|
Style Transfer (SP)
|
100% |
440
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
862
1.11 IPS |
|
|
Style Transfer (Q)
|
98% |
854
1.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
93
3.42 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
163
6.00 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
163
6.03 IPS |
|
|
Text Classification (SP)
|
100% |
53
70.2 IPS |
|
|
Text Classification (HP)
|
100% |
53
70.2 IPS |
|
|
Text Classification (Q)
|
91% |
56
75.2 IPS |
|
|
Machine Translation (SP)
|
100% |
99
1.71 IPS |
|
|
Machine Translation (HP)
|
100% |
101
1.73 IPS |
|
|
Machine Translation (Q)
|
57% |
56
1.37 IPS |
