Samsung Galaxy Tab S8
Geekbench AI Score
230
Single Precision Score
231
Half Precision Score
530
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | porina |
| Upload Date | August 16 2024 02:14 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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 | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
138
25.7 IPS |
|
|
Image Classification (HP)
|
100% |
137
25.4 IPS |
|
|
Image Classification (Q)
|
97% |
362
67.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
178
2.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
180
2.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
389
6.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
245
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
247
0.29 IPS |
|
|
Pose Estimation (Q)
|
98% |
835
0.98 IPS |
|
|
Object Detection (SP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
89% |
396
31.7 IPS |
|
|
Face Detection (SP)
|
100% |
360
4.28 IPS |
|
|
Face Detection (HP)
|
100% |
362
4.31 IPS |
|
|
Face Detection (Q)
|
97% |
806
9.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
316
2.44 IPS |
|
|
Depth Estimation (HP)
|
100% |
315
2.43 IPS |
|
|
Depth Estimation (Q)
|
73% |
768
6.28 IPS |
|
|
Style Transfer (SP)
|
100% |
479
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
547
0.70 IPS |
|
|
Style Transfer (Q)
|
98% |
1383
1.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
141
5.20 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
128
4.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
403
14.9 IPS |
|
|
Text Classification (SP)
|
100% |
201
267.8 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.3 IPS |
|
|
Text Classification (Q)
|
91% |
357
480.4 IPS |
|
|
Machine Translation (SP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (HP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (Q)
|
57% |
305
7.45 IPS |
