samsung SM-A235F vs samsung SM-A235F
| samsung SM-A235F | samsung SM-A235F | Difference | |
|---|---|---|---|
| Single Precision | 291 | 291 | 100.0% |
| samsung SM-A235F | |||
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| Half Precision | 292 | 292 | 100.0% |
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| Quantized | 354 | 354 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| samsung SM-A235F | samsung SM-A235F | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM Qualcomm | ARM Qualcomm |
| Operating System | Android 14 | Android 14 |
| Model | samsung SM-A235F | samsung SM-A235F |
| Processor |
ARM Qualcomm @ 1.90 GHz
1 Processor, 8 Cores |
ARM Qualcomm @ 1.90 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Motherboard | bengal | bengal |
| Memory | 3.50 GB | 3.50 GB |
AI Performance
| samsung SM-A235F | samsung SM-A235F | Difference | |
|---|---|---|---|
| Image Classification (SP) | 132 | 132 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Image Classification (HP) | 130 | 130 | 100.0% |
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| Image Classification (Q) | 231 | 231 | 100.0% |
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| Image Segmentation (SP) | 165 | 165 | 100.0% |
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| Image Segmentation (HP) | 169 | 169 | 100.0% |
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| Image Segmentation (Q) | 296 | 296 | 100.0% |
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| Pose Estimation (SP) | 650 | 650 | 100.0% |
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| Pose Estimation (HP) | 647 | 647 | 100.0% |
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| Pose Estimation (Q) | 512 | 512 | 100.0% |
| samsung SM-A235F | |||
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| Object Detection (SP) | 126 | 126 | 100.0% |
| samsung SM-A235F | |||
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| Object Detection (HP) | 127 | 127 | 100.0% |
| samsung SM-A235F | |||
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| Object Detection (Q) | 233 | 233 | 100.0% |
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| Face Detection (SP) | 381 | 381 | 100.0% |
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| Face Detection (HP) | 379 | 379 | 100.0% |
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| Face Detection (Q) | 553 | 553 | 100.0% |
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| Depth Estimation (SP) | 554 | 554 | 100.0% |
| samsung SM-A235F | |||
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| Depth Estimation (HP) | 557 | 557 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Depth Estimation (Q) | 546 | 546 | 100.0% |
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| Style Transfer (SP) | 1116 | 1116 | 100.0% |
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| Style Transfer (HP) | 1107 | 1107 | 100.0% |
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| Style Transfer (Q) | 1438 | 1438 | 100.0% |
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| Image Super-Resolution (SP) | 284 | 284 | 100.0% |
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| Image Super-Resolution (HP) | 290 | 290 | 100.0% |
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| Image Super-Resolution (Q) | 305 | 305 | 100.0% |
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| Text Classification (SP) | 149 | 149 | 100.0% |
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| samsung SM-A235F | |||
| Text Classification (HP) | 148 | 148 | 100.0% |
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| samsung SM-A235F | |||
| Text Classification (Q) | 216 | 216 | 100.0% |
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| Machine Translation (SP) | 248 | 248 | 100.0% |
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| Machine Translation (HP) | 249 | 249 | 100.0% |
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| Machine Translation (Q) | 133 | 133 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
