# INT1 Performance of Jetson AGX Orin Development Kit

**URL:** <https://forums.developer.nvidia.com/t/int1-performance-of-jetson-agx-orin-development-kit/357348>\
**Category:** Jetson AGX Orin\
**Tags:** jetson-inference\
**Created:** [January 12, 2026, 10:25am UTC](https://forums.developer.nvidia.com/t/int1-performance-of-jetson-agx-orin-development-kit/357348 "2026-01-12T10:25:35Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![kzz](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/kzz/32/389862_2.png) [@kzz](https://forums.developer.nvidia.com/u/kzz)\
**Post date:** [January 12, 2026, 10:25am UTC](https://forums.developer.nvidia.com/t/int1-performance-of-jetson-agx-orin-development-kit/357348/1 "2026-01-12T10:25:35Z")

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I am experimenting with binary (1-bit) matrix multiplication on **Jetson AGX Orin (GA10B, sm\_87)**.

I have successfully executed the following PTX instruction:`mma.sync.aligned.m8n8k128.row.col.s32.b1.b1.s32.and.popc `to perform INT1 GEMM.

Nsight Compute reports non-zero utilization on the tensor pipeline: sm\_\_pipe\_tensor\_cycles\_active.avg.pct\_of\_peak\_sustained\_elapsed = 7.92%

This suggests that binary MMA instructions (b1.b1.and.popc) are executable on GA10B and are mapped to the tensor pipeline.

However, I could not find any public documentation or datasheet that specifies the peak throughput of binary / INT1 MMA on Jetson AGX Orin.

The official datasheet only lists Sparse INT8 performance (170 TOPS): [https://developer.download.nvidia.com/assets/embedded/secure/jetson/agx\_orin/Jetson-AGX-Orin-Data-Sheet\_DS-10662-001\_v1.8.pdf](https://developer.download.nvidia.com/assets/embedded/secure/jetson/agx_orin/Jetson-AGX-Orin-Data-Sheet_DS-10662-001_v1.8.pdf)  
My questions are:

Is the binary MMA (b1.b1.and.popc) throughput on Orin considered an officially supported and characterized feature?

Is there any documented peak throughput, scaling rule, or recommended method to estimate the peak performance of binary MMA on Jetson AGX Orin?

If not officially specified, is it correct to rely on microbenchmarks and tensor-pipeline utilization to estimate an upper bound?

Any clarification would be greatly appreciated.

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**Author:** ![AastaLLL](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/aastalll/32/14043_2.png) [@AastaLLL](https://forums.developer.nvidia.com/u/AastaLLL)\
**Post date:** [January 13, 2026, 5:43am UTC](https://forums.developer.nvidia.com/t/int1-performance-of-jetson-agx-orin-development-kit/357348/4 "2026-01-13T05:43:37Z")

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Hi,

We don’t have a public document for INT1 performance.  
Thanks.

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**Author:** ![system](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/system/32/68080_2.png) [@system](https://forums.developer.nvidia.com/u/system)\
**Post date:** [February 4, 2026, 3:20am UTC](https://forums.developer.nvidia.com/t/int1-performance-of-jetson-agx-orin-development-kit/357348/6 "2026-02-04T03:20:36Z")

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Closed on February 4, 2026, 3:20am UTC

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