Samsung Galaxy Tab S7
Geekbench AI Score
821
Single Precision Score
714
Half Precision Score
1344
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Cifra45 |
| Upload Date | December 28 2024 01:08 PM |
| Views | 2 |
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-T875 |
| 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% |
540
100.3 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.7 IPS |
|
|
Image Classification (Q)
|
100% |
1446
268.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
620
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
625
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1678
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2038
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1999
2.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
3376
4.00 IPS |
|
|
Object Detection (SP)
|
100% |
427
33.9 IPS |
|
|
Object Detection (HP)
|
100% |
457
36.3 IPS |
|
|
Object Detection (Q)
|
83% |
1292
104.4 IPS |
|
|
Face Detection (SP)
|
100% |
1481
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
1426
16.9 IPS |
|
|
Face Detection (Q)
|
95% |
3051
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1760
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1775
13.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3055
28.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3648
4.74 IPS |
|
|
Style Transfer (HP)
|
89% |
3488
4.53 IPS |
|
|
Style Transfer (Q)
|
98% |
7475
9.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1055
39.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
297
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
646
23.9 IPS |
|
|
Text Classification (SP)
|
100% |
173
231.5 IPS |
|
|
Text Classification (HP)
|
100% |
166
221.5 IPS |
|
|
Text Classification (Q)
|
88% |
251
339.0 IPS |
|
|
Machine Translation (SP)
|
100% |
276
4.75 IPS |
|
|
Machine Translation (HP)
|
100% |
270
4.64 IPS |
|
|
Machine Translation (Q)
|
50% |
162
5.74 IPS |
