Samsung Galaxy Tab S8
Geekbench AI Score
236
Single Precision Score
10915
Half Precision Score
27652
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | fredstar |
| Upload Date | November 02 2025 02:21 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy Tab S8 |
| Model ID | samsung SM-X700 |
| 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 | 7.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
138
25.7 IPS |
|
|
Image Classification (HP)
|
100% |
8138
1.51 KIPS |
|
|
Image Classification (Q)
|
99% |
23186
4.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
6435
104.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
18742
304.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
247
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
36500
42.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
223698
262.3 IPS |
|
|
Object Detection (SP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
7698
610.6 IPS |
|
|
Object Detection (Q)
|
88% |
11708
937.9 IPS |
|
|
Face Detection (SP)
|
100% |
361
4.29 IPS |
|
|
Face Detection (HP)
|
100% |
17491
207.8 IPS |
|
|
Face Detection (Q)
|
97% |
63879
761.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
311
2.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
27914
215.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
61508
566.3 IPS |
|
|
Style Transfer (SP)
|
100% |
552
0.71 IPS |
|
|
Style Transfer (HP)
|
98% |
39211
50.6 IPS |
|
|
Style Transfer (Q)
|
98% |
212584
274.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
155
5.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21370
789.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
52603
1.95 KIPS |
|
|
Text Classification (SP)
|
100% |
200
267.2 IPS |
|
|
Text Classification (HP)
|
100% |
1886
2.52 KIPS |
|
|
Text Classification (Q)
|
94% |
4389
5.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (HP)
|
100% |
2115
36.4 IPS |
|
|
Machine Translation (Q)
|
50% |
1191
41.2 IPS |
