Samsung Galaxy Tab S8+ 5G
Geekbench AI Score
670
Single Precision Score
917
Half Precision Score
964
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Arkan14 |
| Upload Date | October 06 2024 12:24 AM |
| Views | 2 |
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+ 5G |
| Model ID | samsung SM-X806B |
| 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% |
357
66.5 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.8 IPS |
|
|
Image Classification (Q)
|
97% |
413
77.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
955
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1199
19.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1098
17.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
712
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1249
1.46 IPS |
|
|
Pose Estimation (Q)
|
95% |
1246
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
384
30.5 IPS |
|
|
Object Detection (HP)
|
100% |
502
39.8 IPS |
|
|
Object Detection (Q)
|
89% |
610
48.8 IPS |
|
|
Face Detection (SP)
|
100% |
1627
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
1843
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
1642
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1083
8.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
2438
18.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1945
18.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2716
3.49 IPS |
|
|
Style Transfer (HP)
|
100% |
5986
7.69 IPS |
|
|
Style Transfer (Q)
|
98% |
6046
7.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
363
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
499
18.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
493
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
262
350.1 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.0 IPS |
|
|
Text Classification (Q)
|
91% |
522
702.2 IPS |
|
|
Machine Translation (SP)
|
100% |
434
7.48 IPS |
|
|
Machine Translation (HP)
|
100% |
427
7.36 IPS |
|
|
Machine Translation (Q)
|
57% |
407
9.95 IPS |
