Samsung Galaxy Tab S8
Geekbench AI Score
358
Single Precision Score
338
Half Precision Score
840
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | porina |
| Upload Date | August 16 2024 01:29 PM |
| Views | 17 |
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-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% |
201
37.5 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.8 IPS |
|
|
Image Classification (Q)
|
100% |
674
125.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
228
3.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
686
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
750
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
701
0.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
1701
2.02 IPS |
|
|
Object Detection (SP)
|
98% |
142
11.3 IPS |
|
|
Object Detection (HP)
|
98% |
129
10.3 IPS |
|
|
Object Detection (Q)
|
87% |
500
40.2 IPS |
|
|
Face Detection (SP)
|
100% |
505
6.00 IPS |
|
|
Face Detection (HP)
|
100% |
499
5.93 IPS |
|
|
Face Detection (Q)
|
95% |
1239
14.8 IPS |
|
|
Depth Estimation (SP)
|
98% |
739
5.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
664
5.13 IPS |
|
|
Depth Estimation (Q)
|
75% |
1305
10.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1200
1.56 IPS |
|
|
Style Transfer (HP)
|
89% |
1167
1.52 IPS |
|
|
Style Transfer (Q)
|
98% |
3680
4.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
367
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
451
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1052
39.0 IPS |
|
|
Text Classification (SP)
|
100% |
178
237.0 IPS |
|
|
Text Classification (HP)
|
99% |
177
236.1 IPS |
|
|
Text Classification (Q)
|
88% |
350
472.0 IPS |
|
|
Machine Translation (SP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (HP)
|
100% |
275
4.75 IPS |
|
|
Machine Translation (Q)
|
50% |
205
7.29 IPS |
