Thursday, May 9th 2024
Apple M4 Chip Benchmarked: 22% Faster Single-Core and 25% Faster Multi-Core Performance
Yesterday, Apple launched its next-generation M4 chip based on Apple Silicon custom design. The processor is a fourth-generation design that brings AI capabilities and improved CPU performance. First debuting in an iPad Pro, the CPU has been benchmarked in Geekbench v6. And results seem to be very promising. The latest M4 chip managed to score 3,767 points in single-core tests and 14,677 points in multi-core tests. Compared to the M3 chip, which scores 3,087 points in single-core and 11,702 in multi-core tests, the M4 chip is about 22% faster in single-core and 25% faster in multi-core synthetic benchmarks.
Of course, these results are not real-world use cases, but they give us a hint of what the Apple Silicon design team has been working on. For real-world results, we have to wait a little longer to see reviews and results from devices such as MacBook Pro and MacBook Air, which should have better cooling and possibly better clocks for the chip.
Sources:
Geekbench v6, via Vadim Yuryev on X
Of course, these results are not real-world use cases, but they give us a hint of what the Apple Silicon design team has been working on. For real-world results, we have to wait a little longer to see reviews and results from devices such as MacBook Pro and MacBook Air, which should have better cooling and possibly better clocks for the chip.
53 Comments on Apple M4 Chip Benchmarked: 22% Faster Single-Core and 25% Faster Multi-Core Performance
AMD's slides particularly show how well GB6 correlates with mainstream consumer 1T perf. After SPEC, Geekbench is genuinely a good benchmark (representative of its intended use cases; relatively precise; works cross-platform; dead simple to use).
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Not to be trollish, but it remains surprising to me why so many commenters--across every forum--innately distrust Geekbench, but virtually every client CPU uArch company relies on Geekbench prodigiously and many heap praise on it for its representative performance modelling, reliability and precision across multiple platforms, and ease of us.
Intel Lunar Lake: perf estimated via GB6 ✅
AMD Zen5: perf estimated via GB6 ✅
Qualcomm NUVIA: perf estimated via GB6 ✅
Arm Cortex-X925: perf estimated via GB6 ✅
Some commenters: "GB6 is so trash, it doesn't correlate to anything. Worthless benchmark that favors [vendor X], I'm sure." ❌
Surely, if GB was as biased or unrepresentative or not predictive as many claim it is, it would've left the arena a long time ago.