Samsung Galaxy Tab S8+ 5G
Geekbench AI Score
316
Single Precision Score
8294
Half Precision Score
23521
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Arkan14 |
| Upload Date | October 06 2024 12:16 AM |
| Views | 3 |
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+ 5G |
| Model ID | samsung SM-X806B |
| 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% |
202
37.5 IPS |
|
|
Image Classification (HP)
|
100% |
8319
1.55 KIPS |
|
|
Image Classification (Q)
|
99% |
23280
4.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
254
4.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
6704
108.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17625
286.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
319
0.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
36667
42.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
224898
263.7 IPS |
|
|
Object Detection (SP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (HP)
|
100% |
7782
617.3 IPS |
|
|
Object Detection (Q)
|
88% |
11297
905.0 IPS |
|
|
Face Detection (SP)
|
100% |
501
5.95 IPS |
|
|
Face Detection (HP)
|
100% |
18744
222.7 IPS |
|
|
Face Detection (Q)
|
97% |
73844
880.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
398
3.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
27964
216.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
62258
573.2 IPS |
|
|
Style Transfer (SP)
|
100% |
675
0.87 IPS |
|
|
Style Transfer (HP)
|
24% |
2117
64.0 IPS |
|
|
Style Transfer (Q)
|
98% |
145334
187.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
197
7.26 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21625
798.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
54719
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
278
371.4 IPS |
|
|
Text Classification (HP)
|
100% |
1833
2.45 KIPS |
|
|
Text Classification (Q)
|
94% |
4073
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
450
7.75 IPS |
|
|
Machine Translation (HP)
|
100% |
2201
37.9 IPS |
|
|
Machine Translation (Q)
|
37% |
334
33.7 IPS |
