new xmas AMD Ryzen 7 PRO 5850U testing with a HP 8A78 (F.04 BIOS) and AMD Cezanne 512MB on Pop 22.04 via the Phoronix Test Suite. a: Processor: AMD Ryzen 7 PRO 5850U @ 4.51GHz (8 Cores / 16 Threads), Motherboard: HP 8A78 (F.04 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 1024GB SK hynix PC711 HFS001TDE9X073N, Graphics: AMD Cezanne 512MB (2000/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8822CE 802.11ac PCIe OS: Pop 22.04, Kernel: 5.19.0-76051900-generic (x86_64), Desktop: GNOME Shell 42.3.1, Display Server: X Server 1.21.1.3, OpenGL: 4.6 Mesa 22.0.5 (LLVM 13.0.1 DRM 3.47), Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: AMD Ryzen 7 PRO 5850U @ 4.51GHz (8 Cores / 16 Threads), Motherboard: HP 8A78 (F.04 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 1024GB SK hynix PC711 HFS001TDE9X073N, Graphics: AMD Cezanne 512MB (2000/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8822CE 802.11ac PCIe OS: Pop 22.04, Kernel: 5.19.0-76051900-generic (x86_64), Desktop: GNOME Shell 42.3.1, Display Server: X Server 1.21.1.3, OpenGL: 4.6 Mesa 22.0.5 (LLVM 13.0.1 DRM 3.47), Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 c: Processor: AMD Ryzen 7 PRO 5850U @ 4.51GHz (8 Cores / 16 Threads), Motherboard: HP 8A78 (F.04 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 1024GB SK hynix PC711 HFS001TDE9X073N, Graphics: AMD Cezanne 512MB (2000/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8822CE 802.11ac PCIe OS: Pop 22.04, Kernel: 5.19.0-76051900-generic (x86_64), Desktop: GNOME Shell 42.3.1, Display Server: X Server 1.21.1.3, OpenGL: 4.6 Mesa 22.0.5 (LLVM 13.0.1 DRM 3.47), Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 CockroachDB 22.2 Workload: MoVR - Concurrency: 128 ops/s > Higher Is Better a . 695.7 |==================================================================== b . 693.4 |==================================================================== c . 695.1 |==================================================================== CockroachDB 22.2 Workload: MoVR - Concurrency: 256 ops/s > Higher Is Better a . 697.7 |==================================================================== b . 697.1 |==================================================================== c . 695.7 |==================================================================== CockroachDB 22.2 Workload: MoVR - Concurrency: 512 ops/s > Higher Is Better a . 696.3 |==================================================================== b . 699.4 |==================================================================== c . 698.9 |==================================================================== CockroachDB 22.2 Workload: MoVR - Concurrency: 1024 ops/s > Higher Is Better a . 693.5 |==================================================================== b . 694.0 |==================================================================== c . 696.0 |==================================================================== CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 128 ops/s > Higher Is Better a . 24887.7 |================================================================= b . 24641.4 |================================================================ c . 25393.3 |================================================================== CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 256 ops/s > Higher Is Better a . 24736.0 |================================================================== b . 24756.2 |================================================================== c . 24244.8 |================================================================= CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 512 ops/s > Higher Is Better a . 23714.6 |================================================================== b . 23511.8 |================================================================= c . 23865.0 |================================================================== CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 128 ops/s > Higher Is Better a . 30090.9 |================================================================== b . 29910.8 |================================================================== c . 29642.6 |================================================================= CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 256 ops/s > Higher Is Better a . 29206.0 |================================================================== b . 28536.6 |================================================================ c . 28477.4 |================================================================ CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 512 ops/s > Higher Is Better a . 28242.0 |================================================================== b . 27729.0 |================================================================= c . 27226.2 |================================================================ CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 128 ops/s > Higher Is Better a . 31095.8 |================================================================== b . 30697.2 |================================================================= c . 30869.3 |================================================================== CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 256 ops/s > Higher Is Better a . 30238.0 |================================================================== b . 30288.9 |================================================================== c . 29456.4 |================================================================ CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 512 ops/s > Higher Is Better a . 28263.0 |================================================================ b . 29139.7 |================================================================== c . 28209.3 |================================================================ CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 128 ops/s > Higher Is Better a . 36455.2 |================================================================== b . 36359.4 |================================================================== c . 36170.5 |================================================================= CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 256 ops/s > Higher Is Better a . 35456.3 |================================================================== b . 33862.5 |=============================================================== c . 34334.6 |================================================================ CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 512 ops/s > Higher Is Better a . 32860.5 |================================================================= b . 32524.7 |================================================================ c . 33309.2 |================================================================== CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 1024 ops/s > Higher Is Better a . 23112.3 |================================================================== b . 22386.0 |================================================================ c . 22345.6 |================================================================ CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 1024 ops/s > Higher Is Better a . 24854.9 |=============================================================== b . 26145.0 |================================================================== c . 25232.7 |================================================================ CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 1024 ops/s > Higher Is Better a . 26769.5 |================================================================== b . 26755.1 |================================================================== c . 25868.8 |================================================================ CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 1024 ops/s > Higher Is Better a . 30167.7 |================================================================== b . 29641.5 |================================================================= c . 29893.1 |================================================================= oneDNN 3.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 5.07488 |================================================================== b . 5.09138 |================================================================== c . 5.06929 |================================================================== oneDNN 3.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 11.85 |==================================================================== b . 11.83 |==================================================================== c . 11.87 |==================================================================== oneDNN 3.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 1.90067 |================================================================== b . 1.89522 |================================================================== c . 1.90422 |================================================================== oneDNN 3.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 2.70600 |=============================================================== b . 2.71709 |=============================================================== c . 2.83696 |================================================================== oneDNN 3.0 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 21.83 |==================================================================== b . 21.78 |==================================================================== c . 21.81 |==================================================================== oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 10.55 |=================================================================== b . 10.61 |=================================================================== c . 10.71 |==================================================================== oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 8.61198 |================================================================== b . 8.57354 |================================================================== c . 8.61432 |================================================================== oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 23.42 |==================================================================== b . 23.49 |==================================================================== c . 23.49 |==================================================================== oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 2.84050 |================================================================== b . 2.82270 |================================================================== c . 2.82445 |================================================================== oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 4.05665 |================================================================= b . 4.05432 |================================================================= c . 4.09312 |================================================================== oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 4700.33 |================================================================== b . 4702.93 |================================================================== c . 4702.58 |================================================================== oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 2638.10 |================================================================== b . 2623.97 |================================================================== c . 2617.50 |================================================================= oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 4699.08 |================================================================== b . 4711.26 |================================================================== c . 4706.48 |================================================================== oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 2637.68 |================================================================== b . 2600.58 |================================================================= c . 2625.88 |================================================================== oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 4.93646 |================================================================= b . 4.98836 |================================================================== c . 4.97326 |================================================================== oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 4707.19 |================================================================== b . 4706.14 |================================================================== c . 4693.08 |================================================================== oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 2638.91 |================================================================== b . 2634.80 |================================================================== c . 2617.25 |================================================================= oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 1.92134 |================================================================= b . 1.94725 |================================================================== c . 1.92589 |================================================================= oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better a . 1.67 |===================================================================== b . 1.67 |===================================================================== c . 1.67 |===================================================================== OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU ms < Lower Is Better a . 2392.31 |================================================================== b . 2392.16 |================================================================== c . 2390.02 |================================================================== OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better a . 1.05 |===================================================================== b . 1.05 |===================================================================== c . 1.05 |===================================================================== OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU ms < Lower Is Better a . 3783.19 |================================================================== b . 3778.06 |================================================================== c . 3770.69 |================================================================== OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better a . 1.04 |===================================================================== b . 1.04 |===================================================================== c . 1.04 |===================================================================== OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU ms < Lower Is Better a . 3823.41 |================================================================== b . 3829.37 |================================================================== c . 3817.35 |================================================================== OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better a . 124.79 |=================================================================== b . 123.92 |=================================================================== c . 123.94 |=================================================================== OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better a . 32.03 |==================================================================== b . 32.25 |==================================================================== c . 32.24 |==================================================================== OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 3.60 |===================================================================== b . 3.60 |===================================================================== c . 3.59 |===================================================================== OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 1109.47 |================================================================== b . 1110.07 |================================================================== c . 1110.36 |================================================================== OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 223.71 |================================================================ b . 232.88 |=================================================================== c . 226.85 |================================================================= OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 17.87 |==================================================================== b . 17.16 |================================================================= c . 17.62 |=================================================================== OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better a . 172.03 |=================================================================== b . 172.28 |=================================================================== c . 172.29 |=================================================================== OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better a . 23.23 |==================================================================== b . 23.20 |==================================================================== c . 23.19 |==================================================================== OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better a . 17.83 |==================================================================== b . 17.96 |==================================================================== c . 17.94 |==================================================================== OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better a . 224.18 |=================================================================== b . 222.65 |=================================================================== c . 222.55 |=================================================================== OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 356.23 |=================================================================== b . 356.31 |=================================================================== c . 356.85 |=================================================================== OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 22.44 |==================================================================== b . 22.43 |==================================================================== c . 22.40 |==================================================================== OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better a . 228.82 |=================================================================== b . 227.75 |=================================================================== c . 229.03 |=================================================================== OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better a . 17.46 |==================================================================== b . 17.54 |==================================================================== c . 17.44 |==================================================================== OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better a . 5104.80 |================================================================== b . 5102.65 |================================================================== c . 4997.34 |================================================================= OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better a . 1.54 |==================================================================== b . 1.54 |==================================================================== c . 1.57 |===================================================================== OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better a . 5735.20 |================================================================== b . 5527.91 |================================================================ c . 5514.72 |=============================================================== OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better a . 1.38 |=================================================================== b . 1.42 |===================================================================== c . 1.43 |===================================================================== OpenVKL 1.3.1 Benchmark: vklBenchmark ISPC Items / Sec > Higher Is Better a . 96 |====================================================================== b . 96 |====================================================================== c . 97 |======================================================================= OpenVKL 1.3.1 Benchmark: vklBenchmark Scalar Items / Sec > Higher Is Better a . 57 |======================================================================= b . 57 |======================================================================= c . 57 |=======================================================================