samsung SM-T505
Geekbench AI Score
304
Single Precision Score
303
Half Precision Score
357
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 13 2026 09:56 AM |
| Views | 1 |
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% |
153
28.4 IPS |
|
|
Image Classification (HP)
|
100% |
148
27.5 IPS |
|
|
Image Classification (Q)
|
99% |
228
42.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
183
2.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
300
4.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
688
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
702
0.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
636
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
156
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
85% |
223
17.9 IPS |
|
|
Face Detection (SP)
|
100% |
377
4.48 IPS |
|
|
Face Detection (HP)
|
100% |
374
4.45 IPS |
|
|
Face Detection (Q)
|
97% |
543
6.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
489
3.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
491
3.78 IPS |
|
|
Depth Estimation (Q)
|
64% |
520
4.80 IPS |
|
|
Style Transfer (SP)
|
89% |
1343
1.74 IPS |
|
|
Style Transfer (HP)
|
89% |
1365
1.77 IPS |
|
|
Style Transfer (Q)
|
98% |
1237
1.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
250
9.22 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
248
9.14 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
329
12.2 IPS |
|
|
Text Classification (SP)
|
100% |
158
210.4 IPS |
|
|
Text Classification (HP)
|
100% |
158
210.4 IPS |
|
|
Text Classification (Q)
|
93% |
192
257.4 IPS |
|
|
Machine Translation (SP)
|
100% |
229
3.94 IPS |
|
|
Machine Translation (HP)
|
100% |
230
3.97 IPS |
|
|
Machine Translation (Q)
|
55% |
160
4.30 IPS |
