samsung SM-T505
Geekbench AI Score
258
Single Precision Score
242
Half Precision Score
283
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | lcfrederico |
| Upload Date | June 30 2025 03:02 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-T505 |
| Model ID | samsung SM-T505 |
| Motherboard | bengal |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 2.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
130
24.2 IPS |
|
|
Image Classification (HP)
|
100% |
112
20.8 IPS |
|
|
Image Classification (Q)
|
100% |
197
36.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
158
2.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
158
2.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
235
3.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
611
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
589
0.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
563
0.67 IPS |
|
|
Object Detection (SP)
|
100% |
124
9.82 IPS |
|
|
Object Detection (HP)
|
100% |
126
9.96 IPS |
|
|
Object Detection (Q)
|
83% |
167
13.5 IPS |
|
|
Face Detection (SP)
|
100% |
344
4.08 IPS |
|
|
Face Detection (HP)
|
100% |
320
3.80 IPS |
|
|
Face Detection (Q)
|
95% |
548
6.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
462
3.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
476
3.67 IPS |
|
|
Depth Estimation (Q)
|
64% |
561
5.14 IPS |
|
|
Style Transfer (SP)
|
89% |
1197
1.55 IPS |
|
|
Style Transfer (HP)
|
89% |
1034
1.34 IPS |
|
|
Style Transfer (Q)
|
98% |
977
1.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
213
7.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
204
7.53 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
231
8.57 IPS |
|
|
Text Classification (SP)
|
100% |
122
162.4 IPS |
|
|
Text Classification (HP)
|
100% |
103
137.9 IPS |
|
|
Text Classification (Q)
|
88% |
137
184.3 IPS |
|
|
Machine Translation (SP)
|
100% |
172
2.97 IPS |
|
|
Machine Translation (HP)
|
100% |
162
2.80 IPS |
|
|
Machine Translation (Q)
|
50% |
81
2.88 IPS |
