samsung SM-T505
Geekbench AI Score
174
Single Precision Score
177
Half Precision Score
210
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 07 2025 12:51 AM |
| Views | 2 |
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% |
58
10.7 IPS |
|
|
Image Classification (HP)
|
100% |
70
12.9 IPS |
|
|
Image Classification (Q)
|
100% |
100
18.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
101
1.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
105
1.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
190
3.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
421
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
409
0.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
386
0.46 IPS |
|
|
Object Detection (SP)
|
100% |
86
6.80 IPS |
|
|
Object Detection (HP)
|
100% |
88
6.98 IPS |
|
|
Object Detection (Q)
|
83% |
139
11.2 IPS |
|
|
Face Detection (SP)
|
100% |
256
3.04 IPS |
|
|
Face Detection (HP)
|
100% |
258
3.07 IPS |
|
|
Face Detection (Q)
|
95% |
377
4.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
353
2.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
303
2.33 IPS |
|
|
Depth Estimation (Q)
|
64% |
374
3.42 IPS |
|
|
Style Transfer (SP)
|
89% |
847
1.10 IPS |
|
|
Style Transfer (HP)
|
89% |
870
1.13 IPS |
|
|
Style Transfer (Q)
|
98% |
1043
1.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
166
6.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
168
6.19 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
216
8.02 IPS |
|
|
Text Classification (SP)
|
100% |
77
102.1 IPS |
|
|
Text Classification (HP)
|
100% |
78
104.4 IPS |
|
|
Text Classification (Q)
|
88% |
85
115.2 IPS |
|
|
Machine Translation (SP)
|
100% |
123
2.11 IPS |
|
|
Machine Translation (HP)
|
100% |
131
2.26 IPS |
|
|
Machine Translation (Q)
|
50% |
62
2.22 IPS |
