Samsung Galaxy Tab S8+
Geekbench AI Score
371
Single Precision Score
362
Half Precision Score
784
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 08:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Tab S8+ |
| Model ID | samsung SM-X800 |
| 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% |
218
40.5 IPS |
|
|
Image Classification (HP)
|
100% |
198
36.8 IPS |
|
|
Image Classification (Q)
|
100% |
737
137.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
249
4.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
242
3.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
575
9.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
851
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
795
0.93 IPS |
|
|
Pose Estimation (Q)
|
84% |
1638
1.94 IPS |
|
|
Object Detection (SP)
|
98% |
153
12.2 IPS |
|
|
Object Detection (HP)
|
98% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
83% |
472
38.1 IPS |
|
|
Face Detection (SP)
|
100% |
472
5.60 IPS |
|
|
Face Detection (HP)
|
100% |
463
5.50 IPS |
|
|
Face Detection (Q)
|
95% |
1177
14.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
659
5.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
644
4.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
1289
11.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1252
1.63 IPS |
|
|
Style Transfer (HP)
|
89% |
1248
1.62 IPS |
|
|
Style Transfer (Q)
|
98% |
3212
4.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
382
14.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
380
14.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
823
30.5 IPS |
|
|
Text Classification (SP)
|
100% |
161
214.7 IPS |
|
|
Text Classification (HP)
|
99% |
160
213.7 IPS |
|
|
Text Classification (Q)
|
88% |
268
361.9 IPS |
|
|
Machine Translation (SP)
|
100% |
292
5.03 IPS |
|
|
Machine Translation (HP)
|
100% |
289
4.99 IPS |
|
|
Machine Translation (Q)
|
50% |
251
8.92 IPS |
