Samsung Galaxy Tab S8+
Geekbench AI Score
846
Single Precision Score
1432
Half Precision Score
1303
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 03:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
614
114.3 IPS |
|
|
Image Classification (HP)
|
100% |
904
168.1 IPS |
|
|
Image Classification (Q)
|
99% |
860
160.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1110
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1876
30.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1603
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4003
4.67 IPS |
|
|
Pose Estimation (HP)
|
99% |
7391
8.62 IPS |
|
|
Pose Estimation (Q)
|
97% |
7163
8.39 IPS |
|
|
Object Detection (SP)
|
100% |
433
34.4 IPS |
|
|
Object Detection (HP)
|
99% |
626
49.6 IPS |
|
|
Object Detection (Q)
|
85% |
735
59.2 IPS |
|
|
Face Detection (SP)
|
100% |
1725
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
3568
42.4 IPS |
|
|
Face Detection (Q)
|
97% |
2820
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2010
15.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3521
27.2 IPS |
|
|
Depth Estimation (Q)
|
65% |
2830
25.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4671
6.00 IPS |
|
|
Style Transfer (HP)
|
100% |
10027
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9585
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
775
28.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1681
62.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1686
62.5 IPS |
|
|
Text Classification (SP)
|
35% |
32
311.3 IPS |
|
|
Text Classification (HP)
|
35% |
45
407.2 IPS |
|
|
Text Classification (Q)
|
35% |
43
388.9 IPS |
|
|
Machine Translation (SP)
|
100% |
400
6.90 IPS |
|
|
Machine Translation (HP)
|
97% |
486
8.41 IPS |
|
|
Machine Translation (Q)
|
64% |
352
7.22 IPS |
