pyperf AVIF
Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and NVIDIA NV132 11GB on Ubuntu 20.04 via the Phoronix Test Suite.


Intel Core i9-10980XE: 

	Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: NVIDIA NV132 11GB, Audio: Realtek ALC1220, Monitor: ASUS MG28U, Network: Intel I219-V + Intel I211

	OS: Ubuntu 20.04, Kernel: 5.4.0-31-generic (x86_64), Desktop: GNOME Shell 3.36.1, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.3 Mesa 20.0.4, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160


libavif avifenc 0.7.3
Encoder Speed: 0
Seconds < Lower Is Better
Intel Core i9-10980XE . 69.95 |================================================


libavif avifenc 0.7.3
Encoder Speed: 2
Seconds < Lower Is Better
Intel Core i9-10980XE . 41.15 |================================================


libavif avifenc 0.7.3
Encoder Speed: 8
Seconds < Lower Is Better
Intel Core i9-10980XE . 5.056 |================================================


libavif avifenc 0.7.3
Encoder Speed: 10
Seconds < Lower Is Better
Intel Core i9-10980XE . 4.914 |================================================


PyPerformance 1.0.0
Benchmark: go
Milliseconds < Lower Is Better
Intel Core i9-10980XE . 199 |==================================================


PyPerformance 1.0.0
Benchmark: 2to3
Milliseconds < Lower Is Better
Intel Core i9-10980XE . 287 |==================================================


PyPerformance 1.0.0
Benchmark: chaos
Milliseconds < Lower Is Better
Intel Core i9-10980XE . 87.5 |=================================================


PyPerformance 1.0.0
Benchmark: float
Milliseconds < Lower Is Better
Intel Core i9-10980XE . 90.4 |=================================================


PyPerformance 1.0.0
Benchmark: nbody
Milliseconds < Lower Is Better
Intel Core i9-10980XE . 103 |==================================================


PyPerformance 1.0.0
Benchmark: pathlib
Milliseconds < Lower Is Better
Intel Core i9-10980XE . 15.0 |=================================================


PyPerformance 1.0.0
Benchmark: raytrace
Milliseconds < Lower Is Better
Intel Core i9-10980XE . 382 |==================================================


PyPerformance 1.0.0
Benchmark: json_loads
Milliseconds < Lower Is Better
Intel Core i9-10980XE . 20.3 |=================================================


PyPerformance 1.0.0
Benchmark: crypto_pyaes
Milliseconds < Lower Is Better
Intel Core i9-10980XE . 87.6 |=================================================


PyPerformance 1.0.0
Benchmark: regex_compile
Milliseconds < Lower Is Better
Intel Core i9-10980XE . 137 |==================================================


PyPerformance 1.0.0
Benchmark: python_startup
Milliseconds < Lower Is Better
Intel Core i9-10980XE . 14.6 |=================================================


PyPerformance 1.0.0
Benchmark: django_template
Milliseconds < Lower Is Better
Intel Core i9-10980XE . 38.4 |=================================================


PyPerformance 1.0.0
Benchmark: pickle_pure_python
Milliseconds < Lower Is Better
Intel Core i9-10980XE . 353 |==================================================