Samsung Galaxy Tab S8+
Geekbench AI Score
239
Single Precision Score
8033
Half Precision Score
22777
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 02:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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 | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
202
37.6 IPS |
|
|
Image Classification (HP)
|
100% |
8300
1.54 KIPS |
|
|
Image Classification (Q)
|
99% |
23569
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
243
3.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
6682
108.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17655
287.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
299
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
36389
42.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
222560
260.9 IPS |
|
|
Object Detection (SP)
|
100% |
122
9.70 IPS |
|
|
Object Detection (HP)
|
100% |
7549
598.8 IPS |
|
|
Object Detection (Q)
|
88% |
10834
867.9 IPS |
|
|
Face Detection (SP)
|
100% |
340
4.04 IPS |
|
|
Face Detection (HP)
|
100% |
17707
210.4 IPS |
|
|
Face Detection (Q)
|
97% |
66063
787.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
282
2.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
24443
188.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
60500
557.0 IPS |
|
|
Style Transfer (SP)
|
100% |
500
0.64 IPS |
|
|
Style Transfer (HP)
|
24% |
2123
64.2 IPS |
|
|
Style Transfer (Q)
|
98% |
144634
186.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
4.98 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21309
786.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
53374
1.98 KIPS |
|
|
Text Classification (SP)
|
100% |
176
234.9 IPS |
|
|
Text Classification (HP)
|
100% |
1775
2.37 KIPS |
|
|
Text Classification (Q)
|
94% |
3747
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
308
5.31 IPS |
|
|
Machine Translation (HP)
|
100% |
2115
36.4 IPS |
|
|
Machine Translation (Q)
|
37% |
324
32.6 IPS |
