Samsung Galaxy Tab S8+
Geekbench AI Score
211
Single Precision Score
211
Half Precision Score
511
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 03:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
123
22.8 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.9 IPS |
|
|
Image Classification (Q)
|
99% |
338
63.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
165
2.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
159
2.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
366
5.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
219
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
218
0.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
874
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.60 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.66 IPS |
|
|
Object Detection (Q)
|
87% |
370
29.6 IPS |
|
|
Face Detection (SP)
|
100% |
337
4.00 IPS |
|
|
Face Detection (HP)
|
100% |
343
4.07 IPS |
|
|
Face Detection (Q)
|
97% |
812
9.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
285
2.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
283
2.18 IPS |
|
|
Depth Estimation (Q)
|
64% |
695
6.31 IPS |
|
|
Style Transfer (SP)
|
100% |
499
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
494
0.64 IPS |
|
|
Style Transfer (Q)
|
98% |
1254
1.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
133
4.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
133
4.89 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
506
18.7 IPS |
|
|
Text Classification (SP)
|
100% |
174
232.7 IPS |
|
|
Text Classification (HP)
|
100% |
174
232.5 IPS |
|
|
Text Classification (Q)
|
91% |
320
430.1 IPS |
|
|
Machine Translation (SP)
|
100% |
306
5.28 IPS |
|
|
Machine Translation (HP)
|
100% |
311
5.35 IPS |
|
|
Machine Translation (Q)
|
57% |
269
6.57 IPS |
