Samsung Galaxy Tab S8
Geekbench AI Score
264
Single Precision Score
256
Half Precision Score
656
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 11:59 AM |
| Views | 16 |
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-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 | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
165
30.7 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.4 IPS |
|
|
Image Classification (Q)
|
97% |
401
74.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
178
2.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
178
2.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
389
6.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
217
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
221
0.26 IPS |
|
|
Pose Estimation (Q)
|
98% |
1277
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.4 IPS |
|
|
Object Detection (Q)
|
89% |
528
42.3 IPS |
|
|
Face Detection (SP)
|
100% |
454
5.39 IPS |
|
|
Face Detection (HP)
|
100% |
441
5.24 IPS |
|
|
Face Detection (Q)
|
97% |
1007
12.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
330
2.54 IPS |
|
|
Depth Estimation (HP)
|
100% |
287
2.21 IPS |
|
|
Depth Estimation (Q)
|
73% |
778
6.37 IPS |
|
|
Style Transfer (SP)
|
100% |
510
0.66 IPS |
|
|
Style Transfer (HP)
|
100% |
512
0.66 IPS |
|
|
Style Transfer (Q)
|
98% |
1865
2.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
190
7.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
186
6.86 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
705
26.1 IPS |
|
|
Text Classification (SP)
|
100% |
258
345.0 IPS |
|
|
Text Classification (HP)
|
100% |
263
350.7 IPS |
|
|
Text Classification (Q)
|
91% |
459
616.6 IPS |
|
|
Machine Translation (SP)
|
100% |
419
7.21 IPS |
|
|
Machine Translation (HP)
|
100% |
387
6.67 IPS |
|
|
Machine Translation (Q)
|
57% |
301
7.37 IPS |
