Samsung Galaxy Tab S8
Geekbench AI Score
235
Single Precision Score
236
Half Precision Score
555
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | fredstar |
| Upload Date | December 05 2024 06:25 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Tab S8 |
| Model ID | samsung SM-X700 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
136
25.3 IPS |
|
|
Image Classification (HP)
|
100% |
137
25.4 IPS |
|
|
Image Classification (Q)
|
99% |
362
67.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
178
2.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
180
2.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
388
6.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
246
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
246
0.29 IPS |
|
|
Pose Estimation (Q)
|
98% |
949
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (Q)
|
87% |
396
31.8 IPS |
|
|
Face Detection (SP)
|
100% |
361
4.29 IPS |
|
|
Face Detection (HP)
|
100% |
364
4.32 IPS |
|
|
Face Detection (Q)
|
97% |
803
9.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
310
2.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
311
2.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
755
6.85 IPS |
|
|
Style Transfer (SP)
|
100% |
547
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
547
0.70 IPS |
|
|
Style Transfer (Q)
|
98% |
1447
1.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
155
5.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
155
5.71 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
549
20.3 IPS |
|
|
Text Classification (SP)
|
100% |
201
268.8 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.4 IPS |
|
|
Text Classification (Q)
|
91% |
357
479.9 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.74 IPS |
|
|
Machine Translation (HP)
|
100% |
333
5.73 IPS |
|
|
Machine Translation (Q)
|
57% |
306
7.48 IPS |
