Samsung Galaxy Tab S7
Geekbench AI Score
677
Single Precision Score
652
Half Precision Score
1322
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 09:00 AM |
| Views | 16 |
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% |
501
93.2 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.6 IPS |
|
|
Image Classification (Q)
|
100% |
1339
249.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
548
8.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
582
9.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
1671
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2000
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1878
2.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
3053
3.62 IPS |
|
|
Object Detection (SP)
|
100% |
440
34.9 IPS |
|
|
Object Detection (HP)
|
100% |
437
34.6 IPS |
|
|
Object Detection (Q)
|
83% |
1274
102.9 IPS |
|
|
Face Detection (SP)
|
100% |
1397
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
1414
16.8 IPS |
|
|
Face Detection (Q)
|
95% |
2921
34.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1399
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1179
9.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
2984
27.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3341
4.34 IPS |
|
|
Style Transfer (HP)
|
89% |
2765
3.59 IPS |
|
|
Style Transfer (Q)
|
98% |
7480
9.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
645
23.9 IPS |
|
|
Text Classification (SP)
|
100% |
170
227.2 IPS |
|
|
Text Classification (HP)
|
100% |
167
223.2 IPS |
|
|
Text Classification (Q)
|
88% |
279
376.5 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.49 IPS |
|
|
Machine Translation (Q)
|
50% |
160
5.68 IPS |
