Samsung Galaxy Tab S8
Geekbench AI Score
250
Single Precision Score
8217
Half Precision Score
23907
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 12:09 PM |
| Views | 20 |
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% |
7955
1.48 KIPS |
|
|
Image Classification (Q)
|
99% |
21805
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
160
2.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
6555
106.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17271
280.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
220
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
36054
42.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
222617
261.0 IPS |
|
|
Object Detection (SP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
7800
618.7 IPS |
|
|
Object Detection (Q)
|
86% |
12145
976.1 IPS |
|
|
Face Detection (SP)
|
100% |
457
5.43 IPS |
|
|
Face Detection (HP)
|
100% |
18572
220.7 IPS |
|
|
Face Detection (Q)
|
97% |
74079
883.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
366
2.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
28030
216.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
72157
576.1 IPS |
|
|
Style Transfer (SP)
|
100% |
618
0.79 IPS |
|
|
Style Transfer (HP)
|
24% |
2114
63.9 IPS |
|
|
Style Transfer (Q)
|
98% |
145291
187.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
136
5.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21362
788.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
54970
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
177
236.6 IPS |
|
|
Text Classification (HP)
|
100% |
1854
2.47 KIPS |
|
|
Text Classification (Q)
|
94% |
4215
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
435
7.49 IPS |
|
|
Machine Translation (HP)
|
100% |
2196
37.8 IPS |
|
|
Machine Translation (Q)
|
37% |
333
33.6 IPS |
