samsung SM-T505
Geekbench AI Score
259
Single Precision Score
254
Half Precision Score
312
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 24 2025 09:05 PM |
| Views | 3 |
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% |
135
25.1 IPS |
|
|
Image Classification (HP)
|
100% |
129
23.9 IPS |
|
|
Image Classification (Q)
|
100% |
214
39.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
163
2.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
159
2.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
303
4.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
634
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
605
0.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
577
0.68 IPS |
|
|
Object Detection (SP)
|
100% |
126
10.0 IPS |
|
|
Object Detection (HP)
|
100% |
125
9.94 IPS |
|
|
Object Detection (Q)
|
83% |
219
17.7 IPS |
|
|
Face Detection (SP)
|
100% |
346
4.11 IPS |
|
|
Face Detection (HP)
|
100% |
344
4.09 IPS |
|
|
Face Detection (Q)
|
95% |
558
6.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
451
3.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
431
3.32 IPS |
|
|
Depth Estimation (Q)
|
64% |
562
5.14 IPS |
|
|
Style Transfer (SP)
|
89% |
1052
1.37 IPS |
|
|
Style Transfer (HP)
|
89% |
1222
1.59 IPS |
|
|
Style Transfer (Q)
|
98% |
1423
1.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
242
8.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
208
7.68 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
230
8.53 IPS |
|
|
Text Classification (SP)
|
100% |
116
154.4 IPS |
|
|
Text Classification (HP)
|
100% |
114
152.5 IPS |
|
|
Text Classification (Q)
|
88% |
132
177.4 IPS |
|
|
Machine Translation (SP)
|
100% |
171
2.94 IPS |
|
|
Machine Translation (HP)
|
100% |
170
2.93 IPS |
|
|
Machine Translation (Q)
|
50% |
81
2.88 IPS |
