Samsung Galaxy Tab S8+
Geekbench AI Score
1347
Single Precision Score
1351
Half Precision Score
1954
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 03:18 PM |
| Views | 3 |
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-X800 |
| 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% |
913
169.7 IPS |
|
|
Image Classification (HP)
|
100% |
978
181.9 IPS |
|
|
Image Classification (Q)
|
100% |
1354
251.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1057
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1484
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2035
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1947
2.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
4102
4.86 IPS |
|
|
Object Detection (SP)
|
98% |
1015
80.8 IPS |
|
|
Object Detection (HP)
|
98% |
1042
82.9 IPS |
|
|
Object Detection (Q)
|
83% |
1393
112.6 IPS |
|
|
Face Detection (SP)
|
100% |
2006
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
1976
23.5 IPS |
|
|
Face Detection (Q)
|
95% |
2997
35.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2215
17.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2226
17.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3220
29.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4609
5.98 IPS |
|
|
Style Transfer (HP)
|
89% |
4476
5.81 IPS |
|
|
Style Transfer (Q)
|
98% |
8668
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1079
39.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1079
39.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2156
79.9 IPS |
|
|
Text Classification (SP)
|
100% |
441
588.1 IPS |
|
|
Text Classification (HP)
|
99% |
425
567.4 IPS |
|
|
Text Classification (Q)
|
88% |
777
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (Q)
|
50% |
506
18.0 IPS |
