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Home»Blockchain»ICP and Ton dominate April blockchain speed ranking with the highest TPS
Blockchain

ICP and Ton dominate April blockchain speed ranking with the highest TPS

2025-05-02No Comments4 Mins Read
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  • ICP and Ton Leiden April with the highest TPS, supported by fast block times and strong user activity.
  • Solana, near, and avalanche, shows halfway through the performance, far behind the top two of transaction speed.
  • Ethereum and Bitcoin rank low in TPS, where scalability of scalability versus newer block chains is emphasized.

New blockchain performance data from Phoenix Group reveals that Internet Computer (ICP) and Toncoin (TON) have reached the highest average transactions per second (TPS) in April 2025 and surpassed all other networks. The figures offer a detailed picture of how leading blockchains scales in response to growing user activity and the demand for applications, with clear differences that pop up in transit options.

Fastest #block chains with average TPS in the past month
#Icp #solana #tron #base #injective #aptos #bnbchain #polygon #arbitrum #ton #berachain #etherum #soneumium #opminnet #unichain #xai #worldchain #fiction #bitcoin #bitcoin

– Phoenix – Crypto News & Analytics (@pnxgrp) April 30, 2025

According to the data, ICP led all networks with an average TPs of 4,800. Ton followed with 4,300 TPS. Both block chains place these results well above their competitors with regard to transaction supply. The report attributes part of this efficiency to fast block times: ICP on average 480 milliseconds per block, while TON blocks completed in only 390 milliseconds.

Similarly, the results showed a high level of user involvement in the TON case. This raised his active address number at 13.7 million in April, the highest of all blockchains followed. Solana, for example, has 3 million active addresses, which is not surprising because it hardly reaches the TPS list.

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The high speed and activity levels on Ton and ICP indicate that these networks handle large -scale operations with consistency, probably made possible by optimized consensus protocols and infrastructure.

Significant decrease in medium performance

The TPS results indicated that the performing block chains were at the top, while the remaining block chains were below the top two. As far as Aatp is concerned, Solana performed the third best with 95.8 TPS, near Protocol, second with 81.7 TPS and Avalanche was third with 70.4 TPS. Both networks have traded in the decentralized application development and smart contract platforms, but their transit indicates an enormous inequality in the transaction rates.

Sui achieved second place in this respect, with a transaction per second ratio of 66.6, followed by Polygon, with a TPS of 50.4 and Arbitrum, with a TPS of 46.6. Both support multiple decentralized finances (Defi) and Web3 environments; However, the data indicates that they are not even close to ICP and Ton in terms of the number of transactions per second.

Source: X

Ethereum, in particular, the second largest blockchain based on market capitalization, has a TPS of only 3.5. This places it considerably lower in the speed steps than newer competitors. The fine emphasizes that Ethereum continues to deal with his transit bottleneck while he is on his way to scale solutions such as Rollups.

Bitcoin was one of the lowest ranked networks in the same way, with a reported TPS of 4.7. Although widely used as a value storage, the BasiStanSactiemoervoer is left with chains that are optimized for speed.

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Tron, BNB chain and Cardano also placed moderate TPS values, which indicates a more balanced assessment between speed, security and decentralization. Although these chains have not experienced a performance improvement that is metric enough to make the top ten, they are still involved in other network developments.

The available data at Phoenix Group also brought other parameters than TPS. Average block time and active addresses gave better insights into the activity of each network. These indicators indicate that TPS is a crucial causal indicator, but does not exist separately. By including Ton and Solan’s perspectives, place fast block times and active users on end-to-end speed on blockchain systems.



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