Samsung Galaxy Tab S8
Geekbench AI Score
690
Single Precision Score
968
Half Precision Score
983
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | fredstar |
| Upload Date | May 11 2025 05:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
461
85.6 IPS |
|
|
Image Classification (HP)
|
100% |
442
82.1 IPS |
|
|
Image Classification (Q)
|
97% |
424
79.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1194
19.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
977
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
721
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1309
1.53 IPS |
|
|
Pose Estimation (Q)
|
95% |
1306
1.53 IPS |
|
|
Object Detection (SP)
|
100% |
386
30.6 IPS |
|
|
Object Detection (HP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (Q)
|
89% |
610
48.8 IPS |
|
|
Face Detection (SP)
|
100% |
1594
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
2517
29.9 IPS |
|
|
Face Detection (Q)
|
97% |
2165
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1087
8.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
2455
19.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1957
18.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2743
3.53 IPS |
|
|
Style Transfer (HP)
|
100% |
6036
7.76 IPS |
|
|
Style Transfer (Q)
|
98% |
6062
7.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
367
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
486
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
476
17.6 IPS |
|
|
Text Classification (SP)
|
100% |
264
352.0 IPS |
|
|
Text Classification (HP)
|
100% |
267
356.7 IPS |
|
|
Text Classification (Q)
|
91% |
522
701.6 IPS |
|
|
Machine Translation (SP)
|
100% |
433
7.46 IPS |
|
|
Machine Translation (HP)
|
100% |
427
7.35 IPS |
|
|
Machine Translation (Q)
|
57% |
404
9.86 IPS |
