Samsung Galaxy Tab S8
Geekbench AI Score
1444
Single Precision Score
1408
Half Precision Score
2001
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 13 2025 12:01 AM |
| Views | 4 |
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% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
1245
231.6 IPS |
|
|
Image Classification (Q)
|
100% |
1602
297.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1225
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1858
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2044
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2000
2.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
4124
4.89 IPS |
|
|
Object Detection (SP)
|
98% |
1066
84.9 IPS |
|
|
Object Detection (HP)
|
98% |
1070
85.1 IPS |
|
|
Object Detection (Q)
|
83% |
1299
104.9 IPS |
|
|
Face Detection (SP)
|
100% |
1995
23.7 IPS |
|
|
Face Detection (HP)
|
100% |
1783
21.2 IPS |
|
|
Face Detection (Q)
|
95% |
3031
36.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2322
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2320
17.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3254
29.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4730
6.14 IPS |
|
|
Style Transfer (HP)
|
89% |
4709
6.11 IPS |
|
|
Style Transfer (Q)
|
98% |
8762
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1108
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1112
41.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2139
79.3 IPS |
|
|
Text Classification (SP)
|
100% |
420
560.9 IPS |
|
|
Text Classification (HP)
|
99% |
419
559.0 IPS |
|
|
Text Classification (Q)
|
88% |
719
969.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1058
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (Q)
|
50% |
486
17.3 IPS |
