Samsung Galaxy Tab S8 Ultra
Geekbench AI Score
236
Single Precision Score
11009
Half Precision Score
28097
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 06 2025 01:52 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% |
138
25.7 IPS |
|
|
Image Classification (HP)
|
100% |
8130
1.51 KIPS |
|
|
Image Classification (Q)
|
99% |
22363
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
178
2.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
6522
105.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
18950
308.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
240
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
36745
42.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
223583
262.1 IPS |
|
|
Object Detection (SP)
|
100% |
138
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
7712
611.7 IPS |
|
|
Object Detection (Q)
|
88% |
11735
940.1 IPS |
|
|
Face Detection (SP)
|
100% |
364
4.33 IPS |
|
|
Face Detection (HP)
|
100% |
17833
211.9 IPS |
|
|
Face Detection (Q)
|
97% |
65029
775.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
311
2.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
27914
215.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
62851
578.6 IPS |
|
|
Style Transfer (SP)
|
100% |
555
0.71 IPS |
|
|
Style Transfer (HP)
|
98% |
40652
52.4 IPS |
|
|
Style Transfer (Q)
|
98% |
215214
277.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
156
5.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21310
786.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
60405
2.24 KIPS |
|
|
Text Classification (SP)
|
100% |
199
265.4 IPS |
|
|
Text Classification (HP)
|
100% |
1872
2.50 KIPS |
|
|
Text Classification (Q)
|
94% |
4273
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
340
5.85 IPS |
|
|
Machine Translation (HP)
|
100% |
2156
37.1 IPS |
|
|
Machine Translation (Q)
|
50% |
1215
42.1 IPS |
