samsung SM-T505
Geekbench AI Score
126
Single Precision Score
192
Half Precision Score
174
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 19 2025 10:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
92
17.1 IPS |
|
|
Image Classification (HP)
|
100% |
147
27.4 IPS |
|
|
Image Classification (Q)
|
99% |
137
25.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
131
2.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
208
3.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
193
3.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
442
0.52 IPS |
|
|
Pose Estimation (HP)
|
99% |
715
0.83 IPS |
|
|
Pose Estimation (Q)
|
97% |
706
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
75
5.99 IPS |
|
|
Object Detection (HP)
|
99% |
119
9.41 IPS |
|
|
Object Detection (Q)
|
85% |
113
9.12 IPS |
|
|
Face Detection (SP)
|
100% |
285
3.39 IPS |
|
|
Face Detection (HP)
|
100% |
447
5.31 IPS |
|
|
Face Detection (Q)
|
97% |
397
4.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
276
2.12 IPS |
|
|
Depth Estimation (HP)
|
98% |
414
3.20 IPS |
|
|
Depth Estimation (Q)
|
63% |
339
3.13 IPS |
|
|
Style Transfer (SP)
|
100% |
642
0.82 IPS |
|
|
Style Transfer (HP)
|
100% |
983
1.26 IPS |
|
|
Style Transfer (Q)
|
98% |
962
1.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
113
4.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
169
6.26 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
153
5.69 IPS |
|
|
Text Classification (SP)
|
35% |
5
49.9 IPS |
|
|
Text Classification (HP)
|
35% |
8
71.5 IPS |
|
|
Text Classification (Q)
|
35% |
8
70.4 IPS |
|
|
Machine Translation (SP)
|
100% |
91
1.57 IPS |
|
|
Machine Translation (HP)
|
97% |
109
1.89 IPS |
|
|
Machine Translation (Q)
|
64% |
80
1.65 IPS |
