Samsung Galaxy Tab S7
Geekbench AI Score
58
Single Precision Score
59
Half Precision Score
142
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Cifra45 |
| Upload Date | December 28 2024 02:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
33
6.15 IPS |
|
|
Image Classification (HP)
|
100% |
34
6.24 IPS |
|
|
Image Classification (Q)
|
99% |
95
17.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
42
0.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
43
0.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
85
1.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
66
0.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
66
0.08 IPS |
|
|
Pose Estimation (Q)
|
98% |
258
0.30 IPS |
|
|
Object Detection (SP)
|
100% |
34
2.68 IPS |
|
|
Object Detection (HP)
|
100% |
34
2.70 IPS |
|
|
Object Detection (Q)
|
87% |
108
8.65 IPS |
|
|
Face Detection (SP)
|
100% |
77
0.92 IPS |
|
|
Face Detection (HP)
|
100% |
78
0.92 IPS |
|
|
Face Detection (Q)
|
97% |
208
2.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
76
0.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
77
0.59 IPS |
|
|
Depth Estimation (Q)
|
64% |
181
1.64 IPS |
|
|
Style Transfer (SP)
|
100% |
139
0.18 IPS |
|
|
Style Transfer (HP)
|
100% |
138
0.18 IPS |
|
|
Style Transfer (Q)
|
98% |
368
0.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41
1.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41
1.52 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
154
5.71 IPS |
|
|
Text Classification (SP)
|
100% |
56
74.8 IPS |
|
|
Text Classification (HP)
|
100% |
57
75.5 IPS |
|
|
Text Classification (Q)
|
91% |
96
129.3 IPS |
|
|
Machine Translation (SP)
|
100% |
87
1.50 IPS |
|
|
Machine Translation (HP)
|
100% |
88
1.51 IPS |
|
|
Machine Translation (Q)
|
57% |
77
1.87 IPS |
