Skip to content

Add an Arm benchmark data point; name Arm CPUs #7

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
jacotay7 merged 1 commit into from
Oct 7, 2026
Merged

Add an Arm benchmark data point; name Arm CPUs #7

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 12 additions & 0 deletions CHANGELOG.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,18 @@ to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).

## [Unreleased]

### Added

- **Arm benchmark data point** (`benchmarks/device-results-neoverse-n1.*`): the
device table on an Ampere Neoverse-N1 host (16 pinned cores) with an RTX
4060 and an RTX A400.

### Fixed

- `benchmarks/bench_devices.py` reported the CPU of Arm hosts as `aarch64`;
it now reads the model from `lscpu` (e.g. `Neoverse-N1`) when
`/proc/cpuinfo` has no model name.

## [2.4.0] - 2026-10-07

### Added
Expand Down
9 changes: 9 additions & 0 deletions benchmarks/bench_devices.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -112,6 +112,15 @@ def _cpu_model() -> str:
return line.split(":", 1)[1].strip()
except OSError:
pass
# Arm /proc/cpuinfo has no "model name"; lscpu decodes the part number
# (e.g. "Neoverse-N1").
try:
output = subprocess.run(["lscpu"], check=True, capture_output=True, text=True).stdout
except (OSError, subprocess.CalledProcessError):
output = ""
for line in output.splitlines():
if line.startswith("Model name:"):
return line.split(":", 1)[1].strip()
return platform.processor() or "unknown CPU"


Expand Down
221 changes: 221 additions & 0 deletions benchmarks/device-results-neoverse-n1-rtx4060.json
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,221 @@
{
"schema_version": 1,
"generated_at_utc": "2026-10-07T07:14:14.461693+00:00",
"command": "/home/jtaylor/miniforge3/envs/aosim-bench/bin/python benchmarks/bench_devices.py --seconds 2 --warmup 10 --device both --output /home/jtaylor/aosim-bench-logs/artifacts/getframes-device-rtx4060.json",
"revision": "7b01daf765d432ab141176548f2b11cf0e7fc11c",
"source_dirty": true,
"python": "3.13.15 | packaged by conda-forge | (main, Sep 2 2026, 22:02:03) [GCC 15.3.0]",
"platform": "Linux-6.17.9-76061709-generic-aarch64-with-glibc2.39",
"processor": "aarch64",
"cpu": "Neoverse-N1",
"gpu": "NVIDIA GeForce RTX 4060",
"dependencies": {
"getframes": "2.4.0",
"numpy": "2.5.3",
"scipy": "1.18.1",
"cupy": "14.2.0"
},
"methodology": {
"seconds_per_cell": 2.0,
"warmup_frames": 10,
"persistent_camera": true,
"device_resident_rate_and_output": true,
"include_truth": true,
"rng": "one generator seeded at camera construction and advanced per frame",
"cuda_synchronization": "before and after each timed region",
"construction_included": false,
"host_transfers_included": false
},
"results": [
{
"workflow": "pyramid_cmos_80",
"label": "Pyramid WFS CMOS",
"preset": "generic_cmos",
"sensor": "CMOS",
"shape": [
80,
80
],
"precision": "float32",
"exposure_s": 0.001,
"photon_rate_per_s": 2000000.0,
"device": "cpu",
"frames": 4295,
"elapsed_s": 2.0004646239976864,
"frame_s": 0.000465765919440672,
"frames_per_s": 2147.001225853703,
"megapixels_per_s": 13.740807845463701
},
{
"workflow": "pyramid_cmos_80",
"label": "Pyramid WFS CMOS",
"preset": "generic_cmos",
"sensor": "CMOS",
"shape": [
80,
80
],
"precision": "float32",
"exposure_s": 0.001,
"photon_rate_per_s": 2000000.0,
"device": "gpu",
"frames": 5011,
"elapsed_s": 2.0001363799965475,
"frame_s": 0.0003991491478739867,
"frames_per_s": 2505.329161608795,
"megapixels_per_s": 16.034106634296286
},
{
"workflow": "shack_hartmann_cmos_160",
"label": "Shack-Hartmann WFS CMOS",
"preset": "generic_cmos",
"sensor": "CMOS",
"shape": [
160,
160
],
"precision": "float32",
"exposure_s": 0.001,
"photon_rate_per_s": 2000000.0,
"device": "cpu",
"frames": 1149,
"elapsed_s": 2.001656759006437,
"frame_s": 0.001742085952137891,
"frames_per_s": 574.0244898782395,
"megapixels_per_s": 14.69502694088293
},
{
"workflow": "shack_hartmann_cmos_160",
"label": "Shack-Hartmann WFS CMOS",
"preset": "generic_cmos",
"sensor": "CMOS",
"shape": [
160,
160
],
"precision": "float32",
"exposure_s": 0.001,
"photon_rate_per_s": 2000000.0,
"device": "gpu",
"frames": 5026,
"elapsed_s": 2.000239181012148,
"frame_s": 0.0003979783487887282,
"frames_per_s": 2512.699504994586,
"megapixels_per_s": 64.3251073278614
},
{
"workflow": "ocam2k_emccd_240",
"label": "OCAM2K EMCCD",
"preset": "andor_ocam2k",
"sensor": "EMCCD",
"shape": [
240,
240
],
"precision": "float32",
"exposure_s": 0.001,
"photon_rate_per_s": 2000000.0,
"device": "cpu",
"frames": 288,
"elapsed_s": 2.003861945006065,
"frame_s": 0.006957853975715504,
"frames_per_s": 143.72247585106385,
"megapixels_per_s": 8.278414609021278
},
{
"workflow": "ocam2k_emccd_240",
"label": "OCAM2K EMCCD",
"preset": "andor_ocam2k",
"sensor": "EMCCD",
"shape": [
240,
240
],
"precision": "float32",
"exposure_s": 0.001,
"photon_rate_per_s": 2000000.0,
"device": "gpu",
"frames": 3420,
"elapsed_s": 2.0004429029941093,
"frame_s": 0.000584924825436874,
"frames_per_s": 1709.621401781179,
"megapixels_per_s": 98.47419274259589
},
{
"workflow": "saphira_eapd_256x320",
"label": "SAPHIRA eAPD",
"preset": "leonardo_saphira",
"sensor": "EAPD",
"shape": [
256,
320
],
"precision": "float32",
"exposure_s": 0.001,
"photon_rate_per_s": 2000000.0,
"device": "cpu",
"frames": 228,
"elapsed_s": 2.0011549520131666,
"frame_s": 0.00877699540356652,
"frames_per_s": 113.93420572986187,
"megapixels_per_s": 9.333490133390285
},
{
"workflow": "saphira_eapd_256x320",
"label": "SAPHIRA eAPD",
"preset": "leonardo_saphira",
"sensor": "EAPD",
"shape": [
256,
320
],
"precision": "float32",
"exposure_s": 0.001,
"photon_rate_per_s": 2000000.0,
"device": "gpu",
"frames": 3786,
"elapsed_s": 2.000311462994432,
"frame_s": 0.000528344284995888,
"frames_per_s": 1892.7052461782241,
"megapixels_per_s": 155.05041376692012
},
{
"workflow": "science_cmos_1024",
"label": "Large science CMOS",
"preset": "generic_cmos",
"sensor": "CMOS",
"shape": [
1024,
1024
],
"precision": "float32",
"exposure_s": 5.0,
"photon_rate_per_s": 200.0,
"device": "cpu",
"frames": 27,
"elapsed_s": 2.000652825983707,
"frame_s": 0.07409825281421137,
"frames_per_s": 13.495594862504088,
"megapixels_per_s": 14.151156878545088
},
{
"workflow": "science_cmos_1024",
"label": "Large science CMOS",
"preset": "generic_cmos",
"sensor": "CMOS",
"shape": [
1024,
1024
],
"precision": "float32",
"exposure_s": 5.0,
"photon_rate_per_s": 200.0,
"device": "gpu",
"frames": 525,
"elapsed_s": 2.2030622210004367,
"frame_s": 0.0041963089923817845,
"frames_per_s": 238.30466293484497,
"megapixels_per_s": 249.880550241568
}
]
}
126 changes: 126 additions & 0 deletions benchmarks/device-results-neoverse-n1-rtxa400.json
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,126 @@
{
"schema_version": 1,
"generated_at_utc": "2026-10-07T07:14:37.452446+00:00",
"command": "/home/jtaylor/miniforge3/envs/aosim-bench/bin/python benchmarks/bench_devices.py --seconds 2 --warmup 10 --device gpu --output /home/jtaylor/aosim-bench-logs/artifacts/getframes-device-rtxa400.json",
"revision": "7b01daf765d432ab141176548f2b11cf0e7fc11c",
"source_dirty": true,
"python": "3.13.15 | packaged by conda-forge | (main, Sep 2 2026, 22:02:03) [GCC 15.3.0]",
"platform": "Linux-6.17.9-76061709-generic-aarch64-with-glibc2.39",
"processor": "aarch64",
"cpu": "Neoverse-N1",
"gpu": "NVIDIA RTX A400",
"dependencies": {
"getframes": "2.4.0",
"numpy": "2.5.3",
"scipy": "1.18.1",
"cupy": "14.2.0"
},
"methodology": {
"seconds_per_cell": 2.0,
"warmup_frames": 10,
"persistent_camera": true,
"device_resident_rate_and_output": true,
"include_truth": true,
"rng": "one generator seeded at camera construction and advanced per frame",
"cuda_synchronization": "before and after each timed region",
"construction_included": false,
"host_transfers_included": false
},
"results": [
{
"workflow": "pyramid_cmos_80",
"label": "Pyramid WFS CMOS",
"preset": "generic_cmos",
"sensor": "CMOS",
"shape": [
80,
80
],
"precision": "float32",
"exposure_s": 0.001,
"photon_rate_per_s": 2000000.0,
"device": "gpu",
"frames": 4672,
"elapsed_s": 2.0003948630183004,
"frame_s": 0.0004281667086939855,
"frames_per_s": 2335.5388910320644,
"megapixels_per_s": 14.947448902605213
},
{
"workflow": "shack_hartmann_cmos_160",
"label": "Shack-Hartmann WFS CMOS",
"preset": "generic_cmos",
"sensor": "CMOS",
"shape": [
160,
160
],
"precision": "float32",
"exposure_s": 0.001,
"photon_rate_per_s": 2000000.0,
"device": "gpu",
"frames": 3458,
"elapsed_s": 2.0286170829785988,
"frame_s": 0.00058664461624598,
"frames_per_s": 1704.6095239041624,
"megapixels_per_s": 43.638003811946554
},
{
"workflow": "ocam2k_emccd_240",
"label": "OCAM2K EMCCD",
"preset": "andor_ocam2k",
"sensor": "EMCCD",
"shape": [
240,
240
],
"precision": "float32",
"exposure_s": 0.001,
"photon_rate_per_s": 2000000.0,
"device": "gpu",
"frames": 1073,
"elapsed_s": 2.0662656150234398,
"frame_s": 0.0019256902283536252,
"frames_per_s": 519.2943212133101,
"megapixels_per_s": 29.911352901886666
},
{
"workflow": "saphira_eapd_256x320",
"label": "SAPHIRA eAPD",
"preset": "leonardo_saphira",
"sensor": "EAPD",
"shape": [
256,
320
],
"precision": "float32",
"exposure_s": 0.001,
"photon_rate_per_s": 2000000.0,
"device": "gpu",
"frames": 807,
"elapsed_s": 2.099866060016211,
"frame_s": 0.0026020645105529257,
"frames_per_s": 384.3102259549687,
"megapixels_per_s": 31.482693710231036
},
{
"workflow": "science_cmos_1024",
"label": "Large science CMOS",
"preset": "generic_cmos",
"sensor": "CMOS",
"shape": [
1024,
1024
],
"precision": "float32",
"exposure_s": 5.0,
"photon_rate_per_s": 200.0,
"device": "gpu",
"frames": 133,
"elapsed_s": 3.1430114879913162,
"frame_s": 0.02363166532324298,
"frames_per_s": 42.31610368214074,
"megapixels_per_s": 44.37165073460441
}
]
}
Loading
Loading