Samsung Galaxy Tab S8+
Geekbench AI Score
307
Single Precision Score
305
Half Precision Score
778
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 08:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
195
36.3 IPS |
|
|
Image Classification (HP)
|
100% |
196
36.4 IPS |
|
|
Image Classification (Q)
|
99% |
542
101.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
247
4.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
248
4.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
593
9.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
311
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
301
0.35 IPS |
|
|
Pose Estimation (Q)
|
98% |
1281
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (HP)
|
100% |
176
13.9 IPS |
|
|
Object Detection (Q)
|
87% |
554
44.4 IPS |
|
|
Face Detection (SP)
|
100% |
474
5.63 IPS |
|
|
Face Detection (HP)
|
100% |
472
5.61 IPS |
|
|
Face Detection (Q)
|
97% |
1223
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
378
2.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
384
2.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
1055
9.57 IPS |
|
|
Style Transfer (SP)
|
100% |
667
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
666
0.86 IPS |
|
|
Style Transfer (Q)
|
98% |
1783
2.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
190
7.02 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
192
7.08 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
746
27.6 IPS |
|
|
Text Classification (SP)
|
100% |
282
376.5 IPS |
|
|
Text Classification (HP)
|
100% |
279
372.6 IPS |
|
|
Text Classification (Q)
|
91% |
521
699.7 IPS |
|
|
Machine Translation (SP)
|
100% |
439
7.57 IPS |
|
|
Machine Translation (HP)
|
100% |
427
7.36 IPS |
|
|
Machine Translation (Q)
|
57% |
399
9.76 IPS |
