openSUSE Tumbleweed 20230801 Performance
Various open-source benchmarks by the Phoronix Test Suite v10.8.4.


Toshiba THNSN5512GPUK: 

	Processor: AMD Ryzen 7 4800H @ 2.90GHz (8 Cores / 16 Threads), Motherboard: ASUS FA506IU v1.0 (FA506IU.320 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 2 x 32 GB DDR4-3200MT/s 16ATF4G64HZ-3G2B2, Disk: 512GB Toshiba THNSN5512GPUK + 512GB Western Digital PC SN530 SDBPNPZ-512G-1002 + 2000GB nal USB 3.0, Graphics: ASUS NVIDIA GeForce GTX 1660 Ti Mobile 512MB, Audio: NVIDIA TU116 HD Audio, Network: Realtek RTL8111/8168/8411 + Realtek RTL8822CE 802.11ac PCIe

	OS: openSUSE Tumbleweed 20230801, Kernel: 6.4.6-1-default (x86_64), Desktop: KDE Plasma, Display Server: X Server 1.21.1.8, Compiler: GCC 13.1.1 20230720 [revision 9aac37ab8a7b919a89c6d64bc7107a8436996e93], File-System: xfs, Screen Resolution: 1920x1080


BlogBench 1.1
Test: Read
Final Score > Higher Is Better
Toshiba THNSN5512GPUK . 2153598 |==============================================


BlogBench 1.1
Test: Write
Final Score > Higher Is Better
Toshiba THNSN5512GPUK . 5160 |=================================================


Compile Bench 0.6
Test: Initial Create
MB/s > Higher Is Better


FFTW 3.3.6
Build: Stock - Size: 1D FFT Size 32
Mflops > Higher Is Better
Toshiba THNSN5512GPUK . 8999.9 |===============================================


FFTW 3.3.6
Build: Float + SSE - Size: 1D FFT Size 32
Mflops > Higher Is Better
Toshiba THNSN5512GPUK . 14738 |================================================


Timed MAFFT Alignment 7.471
Multiple Sequence Alignment - LSU RNA
Seconds < Lower Is Better
Toshiba THNSN5512GPUK . 12.11 |================================================


CacheBench
Test: Read
MB/s > Higher Is Better
Toshiba THNSN5512GPUK . 2964.42 |==============================================


asmFish 2018-07-23
1024 Hash Memory, 26 Depth
Nodes/second > Higher Is Better
Toshiba THNSN5512GPUK . 23918337 |=============================================


Systemd Userspace Boot Time

ms < Lower Is Better


AMD ZenDNN TensorFlow 2.10 ZenDNN 4.0
Model: tf_resnetv1_50_imagenet_224_224_6.97G_1.1_Z4.0 - Batch Size: 1
images/sec > Higher Is Better