Samsung Galaxy Tab S8
Geekbench AI Score
236
Single Precision Score
10946
Half Precision Score
27594
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | fredstar |
| Upload Date | December 05 2024 06:35 AM |
| Views | 6 |
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 | 7.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
138
25.6 IPS |
|
|
Image Classification (HP)
|
100% |
8061
1.50 KIPS |
|
|
Image Classification (Q)
|
99% |
22194
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
178
2.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
6419
104.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18755
305.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
246
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
36341
42.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
223272
261.8 IPS |
|
|
Object Detection (SP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
7685
609.6 IPS |
|
|
Object Detection (Q)
|
88% |
11693
936.7 IPS |
|
|
Face Detection (SP)
|
100% |
361
4.29 IPS |
|
|
Face Detection (HP)
|
100% |
17637
209.6 IPS |
|
|
Face Detection (Q)
|
97% |
65176
777.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
313
2.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
27900
215.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
61283
564.2 IPS |
|
|
Style Transfer (SP)
|
100% |
548
0.70 IPS |
|
|
Style Transfer (HP)
|
98% |
40858
52.7 IPS |
|
|
Style Transfer (Q)
|
98% |
212770
274.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
155
5.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21283
785.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
53003
1.96 KIPS |
|
|
Text Classification (SP)
|
100% |
201
267.9 IPS |
|
|
Text Classification (HP)
|
100% |
1879
2.51 KIPS |
|
|
Text Classification (Q)
|
94% |
4355
5.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (HP)
|
100% |
2127
36.6 IPS |
|
|
Machine Translation (Q)
|
50% |
1201
41.6 IPS |
