Samsung Galaxy Tab S8
Geekbench AI Score
626
Single Precision Score
835
Half Precision Score
885
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | porina |
| Upload Date | August 16 2024 01:38 PM |
| Views | 9 |
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% |
343
63.7 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.5 IPS |
|
|
Image Classification (Q)
|
97% |
433
80.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
944
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1332
21.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1083
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
721
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1258
1.47 IPS |
|
|
Pose Estimation (Q)
|
95% |
1269
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
359
28.4 IPS |
|
|
Object Detection (HP)
|
100% |
471
37.3 IPS |
|
|
Object Detection (Q)
|
86% |
461
37.0 IPS |
|
|
Face Detection (SP)
|
100% |
1513
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
1450
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
1654
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1090
8.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
2247
17.3 IPS |
|
|
Depth Estimation (Q)
|
75% |
2280
18.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2739
3.52 IPS |
|
|
Style Transfer (HP)
|
100% |
5803
7.46 IPS |
|
|
Style Transfer (Q)
|
98% |
5645
7.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
365
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
471
17.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
465
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
201
268.1 IPS |
|
|
Text Classification (HP)
|
100% |
201
268.7 IPS |
|
|
Text Classification (Q)
|
91% |
357
479.4 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (HP)
|
100% |
333
5.74 IPS |
|
|
Machine Translation (Q)
|
57% |
305
7.46 IPS |
