Samsung Galaxy Tab S8
Geekbench AI Score
533
Single Precision Score
770
Half Precision Score
771
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 11:42 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
296
55.0 IPS |
|
|
Image Classification (HP)
|
100% |
349
64.9 IPS |
|
|
Image Classification (Q)
|
97% |
330
61.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1057
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
875
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
512
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
915
1.07 IPS |
|
|
Pose Estimation (Q)
|
95% |
920
1.08 IPS |
|
|
Object Detection (SP)
|
100% |
248
19.7 IPS |
|
|
Object Detection (HP)
|
100% |
428
34.0 IPS |
|
|
Object Detection (Q)
|
86% |
410
33.0 IPS |
|
|
Face Detection (SP)
|
100% |
1036
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1506
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
1288
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1093
8.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
2471
19.0 IPS |
|
|
Depth Estimation (Q)
|
75% |
2303
18.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2742
3.53 IPS |
|
|
Style Transfer (HP)
|
100% |
4632
5.95 IPS |
|
|
Style Transfer (Q)
|
98% |
4663
6.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
375
13.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
369
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
190
253.0 IPS |
|
|
Text Classification (HP)
|
100% |
188
251.1 IPS |
|
|
Text Classification (Q)
|
91% |
342
459.2 IPS |
|
|
Machine Translation (SP)
|
100% |
456
7.86 IPS |
|
|
Machine Translation (HP)
|
100% |
419
7.21 IPS |
|
|
Machine Translation (Q)
|
57% |
392
9.58 IPS |
