Samsung Galaxy Tab S8+
Geekbench AI Score
593
Single Precision Score
914
Half Precision Score
920
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 08:32 PM |
| 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+ |
| 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% |
311
57.8 IPS |
|
|
Image Classification (HP)
|
100% |
453
84.2 IPS |
|
|
Image Classification (Q)
|
97% |
471
87.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1086
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1107
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
719
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1289
1.50 IPS |
|
|
Pose Estimation (Q)
|
95% |
1243
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
362
28.8 IPS |
|
|
Object Detection (HP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (Q)
|
89% |
606
48.5 IPS |
|
|
Face Detection (SP)
|
100% |
1633
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
2714
32.3 IPS |
|
|
Face Detection (Q)
|
97% |
2173
25.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1082
8.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
2378
18.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1827
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2547
3.27 IPS |
|
|
Style Transfer (HP)
|
100% |
5566
7.16 IPS |
|
|
Style Transfer (Q)
|
98% |
5584
7.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
343
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
492
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
485
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
200
267.5 IPS |
|
|
Text Classification (HP)
|
100% |
200
267.5 IPS |
|
|
Text Classification (Q)
|
91% |
356
478.0 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.76 IPS |
|
|
Machine Translation (HP)
|
100% |
333
5.73 IPS |
|
|
Machine Translation (Q)
|
57% |
291
7.10 IPS |
