Samsung Galaxy Tab S8 Ultra
Geekbench AI Score
327
Single Precision Score
11262
Half Precision Score
29249
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | January 30 2025 01:57 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 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% |
203
37.7 IPS |
|
|
Image Classification (HP)
|
100% |
8503
1.58 KIPS |
|
|
Image Classification (Q)
|
99% |
24254
4.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
256
4.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
6771
109.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19307
314.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
341
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
36283
42.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
226145
265.1 IPS |
|
|
Object Detection (SP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (HP)
|
100% |
7913
627.7 IPS |
|
|
Object Detection (Q)
|
88% |
12257
981.9 IPS |
|
|
Face Detection (SP)
|
100% |
526
6.25 IPS |
|
|
Face Detection (HP)
|
100% |
18791
223.3 IPS |
|
|
Face Detection (Q)
|
97% |
75005
894.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
422
3.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
28306
218.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
63617
585.7 IPS |
|
|
Style Transfer (SP)
|
100% |
701
0.90 IPS |
|
|
Style Transfer (HP)
|
98% |
40300
52.0 IPS |
|
|
Style Transfer (Q)
|
98% |
219217
282.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
201
7.43 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21718
801.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
60676
2.25 KIPS |
|
|
Text Classification (SP)
|
100% |
284
379.7 IPS |
|
|
Text Classification (HP)
|
100% |
1901
2.54 KIPS |
|
|
Text Classification (Q)
|
94% |
4401
5.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
473
8.14 IPS |
|
|
Machine Translation (HP)
|
100% |
2244
38.6 IPS |
|
|
Machine Translation (Q)
|
50% |
1264
43.8 IPS |
