Samsung Galaxy Tab S8 Ultra
Geekbench AI Score
318
Single Precision Score
11172
Half Precision Score
29347
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | January 30 2025 02:31 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% |
201
37.5 IPS |
|
|
Image Classification (HP)
|
100% |
8479
1.58 KIPS |
|
|
Image Classification (Q)
|
99% |
24566
4.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
250
4.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
6779
109.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19329
314.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
326
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
35633
41.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
225944
264.9 IPS |
|
|
Object Detection (SP)
|
100% |
182
14.5 IPS |
|
|
Object Detection (HP)
|
100% |
7900
626.7 IPS |
|
|
Object Detection (Q)
|
88% |
12245
981.0 IPS |
|
|
Face Detection (SP)
|
100% |
512
6.08 IPS |
|
|
Face Detection (HP)
|
100% |
18716
222.4 IPS |
|
|
Face Detection (Q)
|
97% |
74977
894.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
411
3.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
28288
218.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
63817
587.5 IPS |
|
|
Style Transfer (SP)
|
100% |
687
0.88 IPS |
|
|
Style Transfer (HP)
|
98% |
38475
49.6 IPS |
|
|
Style Transfer (Q)
|
98% |
218449
281.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
196
7.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21762
803.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
61861
2.29 KIPS |
|
|
Text Classification (SP)
|
100% |
276
368.8 IPS |
|
|
Text Classification (HP)
|
100% |
1896
2.53 KIPS |
|
|
Text Classification (Q)
|
94% |
4407
5.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (HP)
|
100% |
2228
38.4 IPS |
|
|
Machine Translation (Q)
|
50% |
1266
43.8 IPS |
