Samsung Galaxy Tab S8 Ultra
Geekbench AI Score
236
Single Precision Score
10949
Half Precision Score
28125
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 06 2025 02:04 AM |
| Views | 2 |
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
25.6 IPS |
|
|
Image Classification (HP)
|
100% |
8141
1.51 KIPS |
|
|
Image Classification (Q)
|
99% |
22373
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
6526
105.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18962
308.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
240
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
36841
43.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
223339
261.9 IPS |
|
|
Object Detection (SP)
|
100% |
138
11.0 IPS |
|
|
Object Detection (HP)
|
100% |
7713
611.8 IPS |
|
|
Object Detection (Q)
|
88% |
11732
939.9 IPS |
|
|
Face Detection (SP)
|
100% |
364
4.32 IPS |
|
|
Face Detection (HP)
|
100% |
17848
212.1 IPS |
|
|
Face Detection (Q)
|
97% |
65038
775.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
311
2.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
27924
215.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
62833
578.4 IPS |
|
|
Style Transfer (SP)
|
100% |
556
0.71 IPS |
|
|
Style Transfer (HP)
|
98% |
38512
49.7 IPS |
|
|
Style Transfer (Q)
|
98% |
215789
278.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
156
5.75 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21309
786.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
60446
2.24 KIPS |
|
|
Text Classification (SP)
|
100% |
200
266.3 IPS |
|
|
Text Classification (HP)
|
100% |
1877
2.51 KIPS |
|
|
Text Classification (Q)
|
94% |
4302
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
340
5.86 IPS |
|
|
Machine Translation (HP)
|
100% |
2137
36.8 IPS |
|
|
Machine Translation (Q)
|
50% |
1215
42.1 IPS |
