Samsung Galaxy Tab S8
Geekbench AI Score
1432
Single Precision Score
1469
Half Precision Score
2073
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | fredstar |
| Upload Date | May 11 2025 05:18 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1017
189.1 IPS |
|
|
Image Classification (HP)
|
100% |
1389
258.2 IPS |
|
|
Image Classification (Q)
|
100% |
1873
348.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1348
21.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2010
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2194
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
2060
2.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
4205
4.99 IPS |
|
|
Object Detection (SP)
|
98% |
1069
85.1 IPS |
|
|
Object Detection (HP)
|
98% |
1070
85.1 IPS |
|
|
Object Detection (Q)
|
83% |
1419
114.7 IPS |
|
|
Face Detection (SP)
|
100% |
2059
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
2014
23.9 IPS |
|
|
Face Detection (Q)
|
95% |
3036
36.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2317
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2315
17.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3254
29.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4771
6.19 IPS |
|
|
Style Transfer (HP)
|
89% |
4758
6.18 IPS |
|
|
Style Transfer (Q)
|
98% |
8777
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1114
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1112
41.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2172
80.5 IPS |
|
|
Text Classification (SP)
|
100% |
422
563.7 IPS |
|
|
Text Classification (HP)
|
99% |
449
599.1 IPS |
|
|
Text Classification (Q)
|
88% |
721
972.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (Q)
|
50% |
482
17.1 IPS |
