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chore: Update non-LLM benchmarks post C++ port #678

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b3e10bc
chore: update v0.5.0 benchmarks (#481)
IgorSwat Oct 29, 2025
8fbfd00
chore: update v0.4.0 benchmarks (#481)
IgorSwat Nov 3, 2025
b9de78e
chore: minor naming fixes
IgorSwat Nov 3, 2025
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96 changes: 43 additions & 53 deletions docs/docs/04-benchmarks/inference-time.md
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56 changes: 30 additions & 26 deletions docs/docs/04-benchmarks/memory-usage.md
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Expand Up @@ -2,76 +2,80 @@
title: Memory Usage
---

:::info
All the below benchmarks were performed on iPhone 17 Pro (iOS) and OnePlus 12 (Android).
:::

## Classification

| Model | Android (XNNPACK) [MB] | iOS (Core ML) [MB] |
| ----------------- | :--------------------: | :----------------: |
| EFFICIENTNET_V2_S | 130 | 85 |
| EFFICIENTNET_V2_S | 230 | 87 |

## Object Detection

| Model | Android (XNNPACK) [MB] | iOS (XNNPACK) [MB] |
| ------------------------------ | :--------------------: | :----------------: |
| SSDLITE_320_MOBILENET_V3_LARGE | 90 | 90 |
| SSDLITE_320_MOBILENET_V3_LARGE | 164 | 132 |

## Style Transfer

| Model | Android (XNNPACK) [MB] | iOS (Core ML) [MB] |
| ---------------------------- | :--------------------: | :----------------: |
| STYLE_TRANSFER_CANDY | 950 | 350 |
| STYLE_TRANSFER_MOSAIC | 950 | 350 |
| STYLE_TRANSFER_UDNIE | 950 | 350 |
| STYLE_TRANSFER_RAIN_PRINCESS | 950 | 350 |
| STYLE_TRANSFER_CANDY | 1200 | 380 |
| STYLE_TRANSFER_MOSAIC | 1200 | 380 |
| STYLE_TRANSFER_UDNIE | 1200 | 380 |
| STYLE_TRANSFER_RAIN_PRINCESS | 1200 | 380 |

## OCR

| Model | Android (XNNPACK) [MB] | iOS (XNNPACK) [MB] |
| -------------------------------------------------------------------------------------------- | :--------------------: | :----------------: |
| Detector (CRAFT_800) + Recognizer (CRNN_512) + Recognizer (CRNN_256) + Recognizer (CRNN_128) | 2100 | 1782 |
| Model | Android (XNNPACK) [MB] | iOS (XNNPACK) [MB] |
| ------------------------------------------------------------------------------------------------------ | :--------------------: | :----------------: |
| Detector (CRAFT_800_QUANTIZED) + Recognizer (CRNN_512) + Recognizer (CRNN_256) + Recognizer (CRNN_128) | 1400 | 1320 |

## Vertical OCR

| Model | Android (XNNPACK) [MB] | iOS (XNNPACK) [MB] |
| -------------------------------------------------------------------- | :--------------------: | :----------------: |
| Detector (CRAFT_1280) + Detector (CRAFT_320) + Recognizer (CRNN_512) | 2770 | 3720 |
| Detector(CRAFT_1280) + Detector(CRAFT_320) + Recognizer (CRNN_64) | 1770 | 2740 |
| Model | Android (XNNPACK) [MB] | iOS (XNNPACK) [MB] |
| ---------------------------------------------------------------------------------------- | :--------------------: | :----------------: |
| Detector (CRAFT_1280_QUANTIZED) + Detector (CRAFT_320_QUANTIZED) + Recognizer (CRNN_512) | 1540 | 1470 |
| Detector(CRAFT_1280_QUANTIZED) + Detector(CRAFT_320_QUANTIZED) + Recognizer (CRNN_64) | 1070 | 1000 |

## LLMs

| Model | Android (XNNPACK) [GB] | iOS (XNNPACK) [GB] |
| --------------------- | :--------------------: | :----------------: |
| LLAMA3_2_1B | 3.2 | 3.1 |
| LLAMA3_2_1B_SPINQUANT | 1.9 | 2 |
| LLAMA3_2_1B_QLORA | 2.2 | 2.5 |
| LLAMA3_2_1B | 3.3 | 3.1 |
| LLAMA3_2_1B_SPINQUANT | 1.9 | 2.4 |
| LLAMA3_2_1B_QLORA | 2.7 | 2.8 |
| LLAMA3_2_3B | 7.1 | 7.3 |
| LLAMA3_2_3B_SPINQUANT | 3.7 | 3.8 |
| LLAMA3_2_3B_QLORA | 4 | 4.1 |
| LLAMA3_2_3B_QLORA | 3.9 | 4.0 |

## Speech to text

| Model | Android (XNNPACK) [MB] | iOS (XNNPACK) [MB] |
| ------------ | :--------------------: | :----------------: |
| WHISPER_TINY | 900 | 600 |
| WHISPER_TINY | 410 | 375 |

## Text Embeddings

| Model | Android (XNNPACK) [MB] | iOS (XNNPACK) [MB] |
| -------------------------- | :--------------------: | :----------------: |
| ALL_MINILM_L6_V2 | 85 | 100 |
| ALL_MPNET_BASE_V2 | 390 | 465 |
| MULTI_QA_MINILM_L6_COS_V1 | 115 | 130 |
| MULTI_QA_MPNET_BASE_DOT_V1 | 415 | 490 |
| CLIP_VIT_BASE_PATCH32_TEXT | 195 | 250 |
| ALL_MINILM_L6_V2 | 95 | 110 |
| ALL_MPNET_BASE_V2 | 405 | 455 |
| MULTI_QA_MINILM_L6_COS_V1 | 120 | 140 |
| MULTI_QA_MPNET_BASE_DOT_V1 | 435 | 455 |
| CLIP_VIT_BASE_PATCH32_TEXT | 200 | 280 |

## Image Embeddings

| Model | Android (XNNPACK) [MB] | iOS (XNNPACK) [MB] |
| --------------------------- | :--------------------: | :----------------: |
| CLIP_VIT_BASE_PATCH32_IMAGE | 350 | 340 |
| CLIP_VIT_BASE_PATCH32_IMAGE | 345 | 340 |

## Text to Image

| Model | Android (XNNPACK) [MB] | iOS (XNNPACK) [MB] |
| --------------------- | ---------------------- | ------------------ |
| BK_SDM_TINY_VPRED_256 | 2900 | 2800 |
| BK_SDM_TINY_VPRED | 6700 | 6560 |
| BK_SDM_TINY_VPRED_256 | 2400 | 2400 |
| BK_SDM_TINY_VPRED | 6210 | 6050 |
24 changes: 12 additions & 12 deletions docs/docs/04-benchmarks/model-size.md
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Expand Up @@ -25,23 +25,23 @@ title: Model Size

## OCR

| Model | XNNPACK [MB] |
| --------------------- | :----------: |
| Detector (CRAFT_800) | 83.1 |
| Recognizer (CRNN_512) | 15 - 18\* |
| Recognizer (CRNN_256) | 16 - 18\* |
| Recognizer (CRNN_128) | 17 - 19\* |
| Model | XNNPACK [MB] |
| ------------------------------ | :----------: |
| Detector (CRAFT_800_QUANTIZED) | 19.8 |
| Recognizer (CRNN_512) | 15 - 18\* |
| Recognizer (CRNN_256) | 16 - 18\* |
| Recognizer (CRNN_128) | 17 - 19\* |

\* - The model weights vary depending on the language.

## Vertical OCR

| Model | XNNPACK [MB] |
| ------------------------ | :----------: |
| Detector (CRAFT_1280) | 83.1 |
| Detector (CRAFT_320) | 83.1 |
| Recognizer (CRNN_EN_512) | 15 - 18\* |
| Recognizer (CRNN_EN_64) | 15 - 16\* |
| Model | XNNPACK [MB] |
| ------------------------------- | :----------: |
| Detector (CRAFT_1280_QUANTIZED) | 19.8 |
| Detector (CRAFT_320_QUANTIZED) | 19.8 |
| Recognizer (CRNN_EN_512) | 15 - 18\* |
| Recognizer (CRNN_EN_64) | 15 - 16\* |

\* - The model weights vary depending on the language.

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