Samsung Galaxy Tab S7
Geekbench AI Score
235
Single Precision Score
187
Half Precision Score
781
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Cifra45 |
| Upload Date | December 28 2024 01:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
400
74.4 IPS |
|
|
Image Classification (HP)
|
100% |
674
125.4 IPS |
|
|
Image Classification (Q)
|
97% |
621
115.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
384
6.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
42
0.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
560
9.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
1591
1.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
5763
6.73 IPS |
|
|
Pose Estimation (Q)
|
97% |
11296
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
340
26.9 IPS |
|
|
Object Detection (HP)
|
100% |
35
2.79 IPS |
|
|
Object Detection (Q)
|
85% |
1221
98.2 IPS |
|
|
Face Detection (SP)
|
100% |
929
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
78
0.92 IPS |
|
|
Face Detection (Q)
|
97% |
2924
34.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
177
1.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
81
0.63 IPS |
|
|
Depth Estimation (Q)
|
22% |
227
51.9 IPS |
|
|
Style Transfer (SP)
|
100% |
234
0.30 IPS |
|
|
Style Transfer (HP)
|
100% |
138
0.18 IPS |
|
|
Style Transfer (Q)
|
98% |
973
1.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
749
27.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2062
76.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4763
176.5 IPS |
|
|
Text Classification (SP)
|
71% |
3
3.66 IPS |
|
|
Text Classification (HP)
|
100% |
56
74.3 IPS |
|
|
Text Classification (Q)
|
93% |
87
116.8 IPS |
|
|
Machine Translation (SP)
|
100% |
74
1.27 IPS |
|
|
Machine Translation (HP)
|
100% |
92
1.59 IPS |
|
|
Machine Translation (Q)
|
54% |
66
1.86 IPS |
