Samsung Galaxy Tab S8 5G
Geekbench AI Score
276
Single Precision Score
282
Half Precision Score
690
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 05 2025 08:18 AM |
| Views | 1 |
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 5G |
| Model ID | samsung SM-X706N |
| 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 | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
128
23.8 IPS |
|
|
Image Classification (HP)
|
100% |
154
28.7 IPS |
|
|
Image Classification (Q)
|
100% |
657
122.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
155
2.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
142
2.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
518
8.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
635
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
637
0.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
1312
1.56 IPS |
|
|
Object Detection (SP)
|
98% |
108
8.58 IPS |
|
|
Object Detection (HP)
|
98% |
111
8.84 IPS |
|
|
Object Detection (Q)
|
83% |
464
37.5 IPS |
|
|
Face Detection (SP)
|
100% |
375
4.46 IPS |
|
|
Face Detection (HP)
|
100% |
374
4.44 IPS |
|
|
Face Detection (Q)
|
95% |
950
11.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
486
3.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
497
3.84 IPS |
|
|
Depth Estimation (Q)
|
64% |
1141
10.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1103
1.43 IPS |
|
|
Style Transfer (HP)
|
89% |
1125
1.46 IPS |
|
|
Style Transfer (Q)
|
98% |
2733
3.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
331
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
323
11.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
673
24.9 IPS |
|
|
Text Classification (SP)
|
100% |
138
183.9 IPS |
|
|
Text Classification (HP)
|
99% |
152
202.8 IPS |
|
|
Text Classification (Q)
|
88% |
276
372.9 IPS |
|
|
Machine Translation (SP)
|
100% |
207
3.57 IPS |
|
|
Machine Translation (HP)
|
100% |
204
3.52 IPS |
|
|
Machine Translation (Q)
|
50% |
216
7.69 IPS |
