Samsung Galaxy Tab S8
Geekbench AI Score
225
Single Precision Score
232
Half Precision Score
535
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | porina |
| Upload Date | August 16 2024 01:56 PM |
| Views | 17 |
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 | 7.13 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)
|
97% |
360
67.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
180
2.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
388
6.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
245
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
246
0.29 IPS |
|
|
Pose Estimation (Q)
|
98% |
924
1.08 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.63 IPS |
|
|
Object Detection (HP)
|
100% |
117
9.28 IPS |
|
|
Object Detection (Q)
|
89% |
320
25.6 IPS |
|
|
Face Detection (SP)
|
100% |
360
4.28 IPS |
|
|
Face Detection (HP)
|
100% |
364
4.32 IPS |
|
|
Face Detection (Q)
|
97% |
808
9.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
315
2.42 IPS |
|
|
Depth Estimation (HP)
|
100% |
307
2.37 IPS |
|
|
Depth Estimation (Q)
|
73% |
732
5.99 IPS |
|
|
Style Transfer (SP)
|
100% |
463
0.60 IPS |
|
|
Style Transfer (HP)
|
100% |
549
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
1334
1.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
156
5.75 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
550
20.4 IPS |
|
|
Text Classification (SP)
|
100% |
201
268.5 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.0 IPS |
|
|
Text Classification (Q)
|
91% |
357
480.0 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (HP)
|
100% |
333
5.73 IPS |
|
|
Machine Translation (Q)
|
57% |
305
7.46 IPS |
