Samsung Galaxy Tab S8
Geekbench AI Score
237
Single Precision Score
10941
Half Precision Score
27507
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | fredstar |
| Upload Date | May 11 2025 05:50 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
138
25.7 IPS |
|
|
Image Classification (HP)
|
100% |
8091
1.50 KIPS |
|
|
Image Classification (Q)
|
99% |
22289
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
6454
104.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
18740
304.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
35844
41.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
223144
261.6 IPS |
|
|
Object Detection (SP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
7680
609.2 IPS |
|
|
Object Detection (Q)
|
88% |
11711
938.2 IPS |
|
|
Face Detection (SP)
|
100% |
361
4.28 IPS |
|
|
Face Detection (HP)
|
100% |
17647
209.7 IPS |
|
|
Face Detection (Q)
|
97% |
65206
777.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
317
2.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
27860
215.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
61476
566.0 IPS |
|
|
Style Transfer (SP)
|
100% |
551
0.71 IPS |
|
|
Style Transfer (HP)
|
98% |
40744
52.5 IPS |
|
|
Style Transfer (Q)
|
98% |
212157
273.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
156
5.77 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21257
784.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
51499
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
201
268.2 IPS |
|
|
Text Classification (HP)
|
100% |
1883
2.51 KIPS |
|
|
Text Classification (Q)
|
94% |
4341
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (HP)
|
100% |
2133
36.7 IPS |
|
|
Machine Translation (Q)
|
50% |
1195
41.4 IPS |
