mmperf
xcode-hardware-performance
mmperf | xcode-hardware-performance | |
---|---|---|
2 | 2 | |
122 | 1,153 | |
4.1% | - | |
4.3 | 2.6 | |
8 months ago | over 2 years ago | |
C++ | ||
Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mmperf
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PyTorch on Apple M1 Faster Than TensorFlow-Metal
Here are the matmul sizes for the MiniLM model used for inference: https://github.com/mmperf/mmperf/blob/main/benchmark_sizes/b...
These are the matmul sizes for the BERT training workload https://github.com/mmperf/mmperf/blob/main/benchmark_sizes/b...
Yes we use the latest MoltenVK (1.3.204.0) installed in the system.
I will let @noxa and other IREE devs chime in on the SPIR-V path but we do support prefix sums etc in the GPU path.
//part of nod.ai team.
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M1 Pro First Impressions: Core Management and CPU Performance
Could you give me a benchmark in particular? Or maybe this one works: https://github.com/mmperf/mmperf. I'll run it in an hour.
xcode-hardware-performance
- M1 Pro First Impressions: Core Management and CPU Performance
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When will we see benchmarks for the new Macbook Pros for Android/Gradle Builds?
I realise what sub this is and that the post refers to Android specifically, but for those of us who do both Android and iOS dev there is this GitHub project that benchmarks XCode build times across various MacOS builds/devices.
What are some alternatives?
Flops - How many FLOPS can you achieve?
aws-graviton-getting-started - Helping developers to use AWS Graviton2 and Graviton3 processors which power the 6th and 7th generation of Amazon EC2 instances (C6g[d], M6g[d], R6g[d], T4g, X2gd, C6gn, I4g, Im4gn, Is4gen, G5g, C7g[d][n], M7g[d], R7g[d]).
shark-samples
flops - Tiny cpu benchmark
performance_results - performance results/benchmarks for a variety of machines
cutlass - CUDA Templates for Linear Algebra Subroutines
rust-crc32fast - Fast, SIMD-accelerated CRC32 (IEEE) checksum computation in Rust
iree - A retargetable MLIR-based machine learning compiler and runtime toolkit.
Rectangle - Move and resize windows on macOS with keyboard shortcuts and snap areas