samsung SM-T575N
Geekbench AI Score
167
Single Precision Score
246
Half Precision Score
199
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 15 2025 02:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-T575N |
| Model ID | samsung SM-T575N |
| Motherboard | exynos9810 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 2 revision 0 |
| Base Frequency | 1.79 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 4 Cores @ 2.70 GHz |
| Memory Information | |
|---|---|
| Size | 3.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
170
31.6 IPS |
|
|
Image Classification (HP)
|
100% |
280
52.0 IPS |
|
|
Image Classification (Q)
|
99% |
264
49.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
131
2.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
190
3.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
189
3.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
73
0.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
105
0.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
104
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
105
8.30 IPS |
|
|
Object Detection (HP)
|
100% |
187
14.8 IPS |
|
|
Object Detection (Q)
|
83% |
182
14.7 IPS |
|
|
Face Detection (SP)
|
100% |
449
5.33 IPS |
|
|
Face Detection (HP)
|
100% |
683
8.11 IPS |
|
|
Face Detection (Q)
|
97% |
623
7.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
185
1.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
269
2.07 IPS |
|
|
Depth Estimation (Q)
|
62% |
217
2.05 IPS |
|
|
Style Transfer (SP)
|
100% |
349
0.45 IPS |
|
|
Style Transfer (HP)
|
100% |
755
0.97 IPS |
|
|
Style Transfer (Q)
|
98% |
751
0.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
149
5.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
246
9.07 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
240
8.90 IPS |
|
|
Text Classification (SP)
|
100% |
121
161.2 IPS |
|
|
Text Classification (HP)
|
100% |
122
162.6 IPS |
|
|
Text Classification (Q)
|
91% |
62
83.5 IPS |
|
|
Machine Translation (SP)
|
100% |
196
3.38 IPS |
|
|
Machine Translation (HP)
|
100% |
194
3.34 IPS |
|
|
Machine Translation (Q)
|
57% |
69
1.70 IPS |
