Samsung Galaxy Tab S7
Geekbench AI Score
480
Single Precision Score
483
Half Precision Score
795
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 01:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy Tab S7 |
| Model ID | samsung SM-T870 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.09 GHz |
| Memory Information | |
|---|---|
| Size | 5.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
228
42.3 IPS |
|
|
Image Classification (HP)
|
100% |
249
46.4 IPS |
|
|
Image Classification (Q)
|
100% |
530
98.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
325
5.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
324
5.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
678
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1304
1.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1304
1.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
1714
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
254
20.1 IPS |
|
|
Object Detection (HP)
|
100% |
247
19.6 IPS |
|
|
Object Detection (Q)
|
83% |
662
53.5 IPS |
|
|
Face Detection (SP)
|
100% |
869
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
859
10.2 IPS |
|
|
Face Detection (Q)
|
95% |
1561
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1196
9.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
1188
9.15 IPS |
|
|
Depth Estimation (Q)
|
64% |
1570
14.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2175
2.82 IPS |
|
|
Style Transfer (HP)
|
89% |
2195
2.85 IPS |
|
|
Style Transfer (Q)
|
98% |
4032
5.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
291
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
636
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
159
211.6 IPS |
|
|
Text Classification (HP)
|
100% |
161
215.0 IPS |
|
|
Text Classification (Q)
|
88% |
263
354.1 IPS |
|
|
Machine Translation (SP)
|
100% |
258
4.45 IPS |
|
|
Machine Translation (HP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (Q)
|
50% |
151
5.36 IPS |
