Samsung Galaxy Tab S8 Ultra
Geekbench AI Score
235
Single Precision Score
235
Half Precision Score
551
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 06 2025 01:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Tab S8 Ultra |
| Model ID | samsung SM-X900 |
| 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 | 14.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
136
25.3 IPS |
|
|
Image Classification (HP)
|
100% |
137
25.5 IPS |
|
|
Image Classification (Q)
|
99% |
361
67.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
178
2.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
180
2.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
392
6.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
239
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
240
0.28 IPS |
|
|
Pose Estimation (Q)
|
98% |
932
1.09 IPS |
|
|
Object Detection (SP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (HP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (Q)
|
87% |
392
31.5 IPS |
|
|
Face Detection (SP)
|
100% |
363
4.31 IPS |
|
|
Face Detection (HP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (Q)
|
97% |
801
9.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
309
2.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
310
2.39 IPS |
|
|
Depth Estimation (Q)
|
64% |
758
6.87 IPS |
|
|
Style Transfer (SP)
|
100% |
553
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
553
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
1487
1.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
155
5.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
155
5.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
547
20.3 IPS |
|
|
Text Classification (SP)
|
100% |
201
268.5 IPS |
|
|
Text Classification (HP)
|
100% |
201
268.6 IPS |
|
|
Text Classification (Q)
|
91% |
356
478.3 IPS |
|
|
Machine Translation (SP)
|
100% |
338
5.81 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.80 IPS |
|
|
Machine Translation (Q)
|
57% |
288
7.04 IPS |
