raven tf
AMD Ryzen 5 3400G testing with a ASUS PRIME B450M-A (2006 BIOS) and ASUS AMD Picasso on Ubuntu 19.10 via the Phoronix Test Suite.


A: 

	Processor: AMD Ryzen 5 3400G @ 3.70GHz (4 Cores / 8 Threads), Motherboard: ASUS PRIME B450M-A (2006 BIOS), Chipset: AMD Raven/Raven2, Memory: 2 x 8192 MB DDR4-3000MT/s CRUCIAL, Disk: 29GB INTEL MEMPEK1W032GA + 4 x 6001GB Seagate ST6000VN0033-2EE, Graphics: ASUS AMD Picasso (1400/1500MHz), Audio: AMD Raven/Raven2/Fenghuang, Monitor: SyncMaster, Network: Realtek RTL8111/8168/8411

	OS: Ubuntu 19.10, Kernel: 5.3.0-46-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server, Vulkan: 1.1.107, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1280x800

B: 

	Processor: AMD Ryzen 5 3400G @ 3.70GHz (4 Cores / 8 Threads), Motherboard: ASUS PRIME B450M-A (2006 BIOS), Chipset: AMD Raven/Raven2, Memory: 2 x 8192 MB DDR4-3000MT/s CRUCIAL, Disk: 29GB INTEL MEMPEK1W032GA + 4 x 6001GB Seagate ST6000VN0033-2EE, Graphics: ASUS AMD Picasso (1400/1500MHz), Audio: AMD Raven/Raven2/Fenghuang, Monitor: SyncMaster, Network: Realtek RTL8111/8168/8411

	OS: Ubuntu 19.10, Kernel: 5.3.0-46-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server, Vulkan: 1.1.107, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1280x800

C: 

	Processor: AMD Ryzen 5 3400G @ 3.70GHz (4 Cores / 8 Threads), Motherboard: ASUS PRIME B450M-A (2006 BIOS), Chipset: AMD Raven/Raven2, Memory: 2 x 8192 MB DDR4-3000MT/s CRUCIAL, Disk: 29GB INTEL MEMPEK1W032GA + 4 x 6001GB Seagate ST6000VN0033-2EE, Graphics: ASUS AMD Picasso (1400/1500MHz), Audio: AMD Raven/Raven2/Fenghuang, Monitor: SyncMaster, Network: Realtek RTL8111/8168/8411

	OS: Ubuntu 19.10, Kernel: 5.3.0-46-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server, Vulkan: 1.1.107, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1280x800


TensorFlow Lite 2022-05-18
Model: SqueezeNet
Microseconds < Lower Is Better
A . 11650.2 |==================================================================
B . 11700.8 |==================================================================
C . 11686.5 |==================================================================


TensorFlow Lite 2022-05-18
Model: Inception V4
Microseconds < Lower Is Better
A . 129283 |===================================================================
B . 129125 |===================================================================
C . 129139 |===================================================================


TensorFlow Lite 2022-05-18
Model: NASNet Mobile
Microseconds < Lower Is Better
A . 37360.6 |==================================================================
B . 37434.0 |==================================================================
C . 37488.1 |==================================================================


TensorFlow Lite 2022-05-18
Model: Mobilenet Float
Microseconds < Lower Is Better
A . 6914.60 |==================================================================
B . 6913.20 |==================================================================
C . 6923.04 |==================================================================


TensorFlow Lite 2022-05-18
Model: Mobilenet Quant
Microseconds < Lower Is Better
A . 10702.7 |=================================================================
B . 10701.2 |=================================================================
C . 10837.5 |==================================================================


TensorFlow Lite 2022-05-18
Model: Inception ResNet V2
Microseconds < Lower Is Better
A . 119563 |===================================================================
B . 119664 |===================================================================
C . 119611 |===================================================================