mnre AMD Ryzen 5 5500U testing with a NB01 NL5xNU (1.07.11RTR1 BIOS) and AMD Lucienne 512MB on Tuxedo 22.04 via the Phoronix Test Suite. a: Processor: AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads), Motherboard: NB01 NL5xNU (1.07.11RTR1 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Lucienne 512MB (1800/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8111/8168/8411 + Intel Wi-Fi 6 AX200 OS: Tuxedo 22.04, Kernel: 6.0.0-1010-oem (x86_64), Desktop: KDE Plasma 5.26.5, Display Server: X Server 1.21.1.3, OpenGL: 4.6 Mesa 22.3.4 (LLVM 14.0.0 DRM 3.48), Vulkan: 1.3.230, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads), Motherboard: NB01 NL5xNU (1.07.11RTR1 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Lucienne 512MB (1800/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8111/8168/8411 + Intel Wi-Fi 6 AX200 OS: Tuxedo 22.04, Kernel: 6.0.0-1010-oem (x86_64), Desktop: KDE Plasma 5.26.5, Display Server: X Server 1.21.1.3, OpenGL: 4.6 Mesa 22.3.4 (LLVM 14.0.0 DRM 3.48), Vulkan: 1.3.230, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080 c: Processor: AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads), Motherboard: NB01 NL5xNU (1.07.11RTR1 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Lucienne 512MB (1800/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8111/8168/8411 + Intel Wi-Fi 6 AX200 OS: Tuxedo 22.04, Kernel: 6.0.0-1010-oem (x86_64), Desktop: KDE Plasma 5.26.5, Display Server: X Server 1.21.1.3, OpenGL: 4.6 Mesa 22.3.4 (LLVM 14.0.0 DRM 3.48), Vulkan: 1.3.230, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080 d: Processor: AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads), Motherboard: NB01 NL5xNU (1.07.11RTR1 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Lucienne 512MB (1800/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8111/8168/8411 + Intel Wi-Fi 6 AX200 OS: Tuxedo 22.04, Kernel: 6.0.0-1010-oem (x86_64), Desktop: KDE Plasma 5.26.5, Display Server: X Server 1.21.1.3, OpenGL: 4.6 Mesa 22.3.4 (LLVM 14.0.0 DRM 3.48), Vulkan: 1.3.230, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080 ET: Legacy 2.81 Resolution: 1920 x 1080 Frames Per Second > Higher Is Better a . 151.3 |=============================================================== b . 161.8 |==================================================================== c . 161.9 |==================================================================== d . 162.9 |==================================================================== Unvanquished 0.54 Resolution: 1920 x 1080 - Effects Quality: High Frames Per Second > Higher Is Better a . 134.1 |==================================================================== b . 132.7 |=================================================================== c . 134.5 |==================================================================== d . 132.6 |=================================================================== Unvanquished 0.54 Resolution: 1920 x 1080 - Effects Quality: Ultra Frames Per Second > Higher Is Better a . 131.1 |==================================================================== b . 129.4 |=================================================================== c . 129.6 |=================================================================== d . 132.0 |==================================================================== Unvanquished 0.54 Resolution: 1920 x 1080 - Effects Quality: Medium Frames Per Second > Higher Is Better a . 136.0 |==================================================================== b . 136.0 |==================================================================== c . 136.3 |==================================================================== d . 136.1 |==================================================================== Zstd Compression 1.5.4 Compression Level: 3 - Compression Speed MB/s > Higher Is Better a . 556.7 |=================================================================== b . 557.6 |=================================================================== c . 567.0 |==================================================================== d . 559.9 |=================================================================== Zstd Compression 1.5.4 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better a . 1329.2 |=================================================================== b . 1325.2 |=================================================================== c . 1325.3 |=================================================================== d . 1326.7 |=================================================================== Zstd Compression 1.5.4 Compression Level: 8 - Compression Speed MB/s > Higher Is Better a . 159.7 |==================================================================== b . 159.8 |==================================================================== c . 160.2 |==================================================================== d . 159.0 |=================================================================== Zstd Compression 1.5.4 Compression Level: 8 - Decompression Speed MB/s > Higher Is Better a . 1415.6 |================================================================== b . 1425.2 |=================================================================== c . 1426.7 |=================================================================== d . 1415.9 |================================================================== Zstd Compression 1.5.4 Compression Level: 12 - Compression Speed MB/s > Higher Is Better a . 59.8 |===================================================================== b . 59.8 |===================================================================== c . 60.1 |===================================================================== d . 59.8 |===================================================================== Zstd Compression 1.5.4 Compression Level: 12 - Decompression Speed MB/s > Higher Is Better a . 1269.2 |================================================================= b . 1305.1 |=================================================================== c . 1299.2 |=================================================================== d . 1303.0 |=================================================================== Zstd Compression 1.5.4 Compression Level: 19 - Compression Speed MB/s > Higher Is Better a . 9.17 |================================================================= b . 9.76 |===================================================================== c . 9.74 |===================================================================== d . 9.23 |================================================================= Zstd Compression 1.5.4 Compression Level: 19 - Decompression Speed MB/s > Higher Is Better a . 874.0 |================================================================== b . 905.3 |==================================================================== c . 891.0 |=================================================================== d . 879.1 |================================================================== Zstd Compression 1.5.4 Compression Level: 3, Long Mode - Compression Speed MB/s > Higher Is Better a . 443.8 |=================================================================== b . 444.3 |=================================================================== c . 445.2 |=================================================================== d . 451.1 |==================================================================== Zstd Compression 1.5.4 Compression Level: 3, Long Mode - Decompression Speed MB/s > Higher Is Better a . 1343.6 |=================================================================== b . 1345.2 |=================================================================== c . 1341.2 |=================================================================== d . 1350.0 |=================================================================== Zstd Compression 1.5.4 Compression Level: 8, Long Mode - Compression Speed MB/s > Higher Is Better a . 156.6 |==================================================================== b . 156.2 |==================================================================== c . 156.7 |==================================================================== d . 156.1 |==================================================================== Zstd Compression 1.5.4 Compression Level: 8, Long Mode - Decompression Speed MB/s > Higher Is Better a . 1393.9 |================================================================== b . 1401.1 |================================================================== c . 1420.5 |=================================================================== d . 1410.6 |=================================================================== Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Compression Speed MB/s > Higher Is Better a . 5.41 |==================================================================== b . 5.37 |=================================================================== c . 5.23 |================================================================= d . 5.51 |===================================================================== Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Decompression Speed MB/s > Higher Is Better a . 947.6 |================================================================== b . 953.9 |=================================================================== c . 940.1 |================================================================== d . 972.1 |==================================================================== dav1d 1.0 Video Input: Chimera 1080p FPS > Higher Is Better a . 376.55 |=================================================================== b . 377.61 |=================================================================== c . 377.04 |=================================================================== d . 378.48 |=================================================================== dav1d 1.0 Video Input: Summer Nature 4K FPS > Higher Is Better a . 115.92 |=================================================================== b . 115.93 |=================================================================== c . 115.81 |=================================================================== d . 116.02 |=================================================================== dav1d 1.0 Video Input: Summer Nature 1080p FPS > Higher Is Better a . 477.42 |=================================================================== b . 479.84 |=================================================================== c . 477.83 |=================================================================== d . 478.72 |=================================================================== dav1d 1.0 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better a . 287.28 |=================================================================== b . 286.61 |=================================================================== c . 286.74 |=================================================================== d . 286.86 |=================================================================== AOM AV1 3.6 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 0.1 |====================================================================== b . 0.1 |====================================================================== c . 0.1 |====================================================================== d . 0.1 |====================================================================== AOM AV1 3.6 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 3.45 |==================================================================== b . 3.48 |===================================================================== c . 3.50 |===================================================================== d . 3.48 |===================================================================== AOM AV1 3.6 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 32.06 |================================================================== b . 33.00 |==================================================================== c . 32.71 |=================================================================== d . 32.79 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 5.68 |===================================================================== b . 5.67 |===================================================================== c . 5.65 |===================================================================== d . 5.67 |===================================================================== AOM AV1 3.6 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 27.00 |================================================================= b . 28.30 |==================================================================== c . 27.11 |================================================================= d . 27.27 |================================================================== AOM AV1 3.6 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 33.35 |=================================================================== b . 34.00 |==================================================================== c . 33.88 |==================================================================== d . 33.91 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 33.87 |=================================================================== b . 34.42 |==================================================================== c . 34.55 |==================================================================== d . 34.30 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 0.33 |=================================================================== b . 0.34 |===================================================================== c . 0.33 |=================================================================== d . 0.33 |=================================================================== AOM AV1 3.6 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 9.00 |===================================================================== b . 9.03 |===================================================================== c . 9.04 |===================================================================== d . 9.06 |===================================================================== AOM AV1 3.6 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 74.73 |=================================================================== b . 73.07 |================================================================== c . 73.51 |================================================================== d . 75.55 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 19.25 |==================================================================== b . 19.23 |==================================================================== c . 19.17 |=================================================================== d . 19.37 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 71.30 |================================================================== b . 72.22 |=================================================================== c . 73.14 |==================================================================== d . 72.77 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 88.38 |============================================================= b . 88.80 |============================================================= c . 89.24 |============================================================= d . 98.79 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 87.80 |=================================================================== b . 88.85 |==================================================================== c . 86.03 |================================================================== d . 86.17 |================================================================== Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Slow Frames Per Second > Higher Is Better a . 4.76 |===================================================================== b . 4.77 |===================================================================== c . 4.78 |===================================================================== d . 4.76 |===================================================================== Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Medium Frames Per Second > Higher Is Better a . 4.85 |===================================================================== b . 4.86 |===================================================================== c . 4.86 |===================================================================== d . 4.85 |===================================================================== Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Slow Frames Per Second > Higher Is Better a . 22.79 |==================================================================== b . 22.80 |==================================================================== c . 22.83 |==================================================================== d . 22.81 |==================================================================== Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Medium Frames Per Second > Higher Is Better a . 23.50 |=================================================================== b . 23.65 |==================================================================== c . 23.68 |==================================================================== d . 23.73 |==================================================================== Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Very Fast Frames Per Second > Higher Is Better a . 12.02 |==================================================================== b . 12.02 |==================================================================== c . 12.06 |==================================================================== d . 12.02 |==================================================================== Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Super Fast Frames Per Second > Higher Is Better a . 14.81 |==================================================================== b . 14.82 |==================================================================== c . 14.77 |==================================================================== d . 14.79 |==================================================================== Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Frames Per Second > Higher Is Better a . 20.13 |==================================================================== b . 20.07 |==================================================================== c . 20.16 |==================================================================== d . 20.20 |==================================================================== Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Very Fast Frames Per Second > Higher Is Better a . 50.60 |==================================================================== b . 50.36 |==================================================================== c . 50.52 |==================================================================== d . 50.41 |==================================================================== Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Super Fast Frames Per Second > Higher Is Better a . 64.00 |==================================================================== b . 63.68 |==================================================================== c . 63.81 |==================================================================== d . 63.63 |==================================================================== Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Frames Per Second > Higher Is Better a . 84.15 |==================================================================== b . 84.15 |==================================================================== c . 83.88 |==================================================================== d . 84.43 |==================================================================== uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Slow Frames Per Second > Higher Is Better a . 2.88 |===================================================================== b . 2.90 |===================================================================== c . 2.90 |===================================================================== d . 2.90 |===================================================================== uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Medium Frames Per Second > Higher Is Better a . 3.25 |===================================================================== b . 3.27 |===================================================================== c . 3.27 |===================================================================== d . 3.27 |===================================================================== uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Slow Frames Per Second > Higher Is Better a . 14.25 |==================================================================== b . 14.32 |==================================================================== c . 14.31 |==================================================================== d . 14.30 |==================================================================== uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Medium Frames Per Second > Higher Is Better a . 16.01 |==================================================================== b . 16.11 |==================================================================== c . 16.02 |==================================================================== d . 16.05 |==================================================================== uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Very Fast Frames Per Second > Higher Is Better a . 9.69 |===================================================================== b . 9.72 |===================================================================== c . 9.70 |===================================================================== d . 9.74 |===================================================================== uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Super Fast Frames Per Second > Higher Is Better a . 9.93 |===================================================================== b . 9.96 |===================================================================== c . 9.93 |===================================================================== d . 9.95 |===================================================================== uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Frames Per Second > Higher Is Better a . 11.97 |==================================================================== b . 11.98 |==================================================================== c . 12.00 |==================================================================== d . 11.99 |==================================================================== uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Very Fast Frames Per Second > Higher Is Better a . 43.05 |==================================================================== b . 42.85 |==================================================================== c . 43.04 |==================================================================== d . 42.92 |==================================================================== uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Super Fast Frames Per Second > Higher Is Better a . 43.79 |==================================================================== b . 43.99 |==================================================================== c . 43.95 |==================================================================== d . 43.93 |==================================================================== uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Frames Per Second > Higher Is Better a . 52.05 |=================================================================== b . 52.48 |==================================================================== c . 52.13 |==================================================================== d . 51.94 |=================================================================== VP9 libvpx Encoding 1.13 Speed: Speed 0 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 3.45 |==================================================================== b . 3.47 |===================================================================== c . 3.47 |===================================================================== d . 3.49 |===================================================================== VP9 libvpx Encoding 1.13 Speed: Speed 5 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 7.83 |===================================================================== b . 7.85 |===================================================================== c . 7.84 |===================================================================== d . 7.79 |==================================================================== VP9 libvpx Encoding 1.13 Speed: Speed 0 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 7.57 |===================================================================== b . 7.52 |===================================================================== c . 7.44 |==================================================================== d . 7.55 |===================================================================== VP9 libvpx Encoding 1.13 Speed: Speed 5 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 18.08 |=================================================================== b . 18.20 |==================================================================== c . 18.24 |==================================================================== d . 17.98 |=================================================================== VVenC 1.7 Video Input: Bosphorus 4K - Video Preset: Fast Frames Per Second > Higher Is Better a . 1.861 |==================================================================== b . 1.859 |==================================================================== c . 1.861 |==================================================================== d . 1.865 |==================================================================== VVenC 1.7 Video Input: Bosphorus 4K - Video Preset: Faster Frames Per Second > Higher Is Better a . 4.062 |==================================================================== b . 4.077 |==================================================================== c . 4.072 |==================================================================== d . 4.077 |==================================================================== VVenC 1.7 Video Input: Bosphorus 1080p - Video Preset: Fast Frames Per Second > Higher Is Better a . 5.788 |=================================================================== b . 5.842 |==================================================================== c . 5.826 |==================================================================== d . 5.840 |==================================================================== VVenC 1.7 Video Input: Bosphorus 1080p - Video Preset: Faster Frames Per Second > Higher Is Better a . 13.41 |=================================================================== b . 13.45 |==================================================================== c . 13.43 |=================================================================== d . 13.53 |==================================================================== OpenVKL 1.3.1 Benchmark: vklBenchmark ISPC Items / Sec > Higher Is Better a . 71 |====================================================================== b . 71 |====================================================================== c . 71 |====================================================================== d . 72 |======================================================================= OpenVKL 1.3.1 Benchmark: vklBenchmark Scalar Items / Sec > Higher Is Better a . 44 |======================================================================= b . 44 |======================================================================= c . 44 |======================================================================= d . 44 |======================================================================= oneDNN 3.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 9.24715 |================================================================== b . 9.31271 |================================================================== c . 9.27244 |================================================================== d . 9.22403 |================================================================= oneDNN 3.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 12.64 |=================================================================== b . 12.49 |================================================================== c . 12.80 |==================================================================== d . 12.74 |==================================================================== oneDNN 3.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 3.68773 |================================================================== b . 3.69141 |================================================================== c . 3.68968 |================================================================== d . 3.70279 |================================================================== oneDNN 3.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 3.58214 |================================================================== b . 3.56267 |================================================================== c . 3.58561 |================================================================== d . 3.54648 |================================================================= 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 . 22.23 |==================================================================== b . 22.22 |==================================================================== c . 22.26 |==================================================================== d . 22.23 |==================================================================== oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 12.43 |=================================================================== b . 12.43 |=================================================================== c . 12.60 |==================================================================== d . 12.57 |==================================================================== oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 11.19 |==================================================================== b . 11.24 |==================================================================== c . 11.21 |==================================================================== d . 11.18 |==================================================================== oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 24.69 |==================================================================== b . 24.63 |==================================================================== c . 24.69 |==================================================================== d . 24.66 |==================================================================== oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 5.40406 |================================================================== b . 5.38437 |================================================================== c . 5.41218 |================================================================== d . 5.40132 |================================================================== oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 7.77149 |================================================================== b . 7.77781 |================================================================== c . 7.78971 |================================================================== d . 7.81788 |================================================================== oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 5999.75 |================================================================== b . 5986.31 |================================================================== c . 5966.43 |================================================================== d . 5969.93 |================================================================== oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 3779.53 |================================================================= b . 3794.69 |================================================================== c . 3812.09 |================================================================== d . 3803.40 |================================================================== oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 5993.24 |================================================================== b . 5939.53 |================================================================= c . 5993.01 |================================================================== d . 5978.35 |================================================================== oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 3784.40 |================================================================ b . 3786.92 |================================================================ c . 3812.16 |================================================================= d . 3884.74 |================================================================== oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 6.18432 |================================================================== b . 6.18328 |================================================================== c . 6.18500 |================================================================== d . 6.18209 |================================================================== oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 5985.60 |================================================================== b . 5994.66 |================================================================== c . 5972.93 |================================================================== d . 5947.60 |================================================================= oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 3794.24 |================================================================== b . 3815.95 |================================================================== c . 3800.18 |================================================================== d . 3807.12 |================================================================== oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 3.82126 |================================================================== b . 3.80520 |================================================================== c . 3.80979 |================================================================== d . 3.82110 |================================================================== oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, First Run / Cold Cache Queries Per Minute, Geo Mean > Higher Is Better a . 70.31 |=================================================================== b . 71.64 |==================================================================== c . 71.20 |==================================================================== d . 70.86 |=================================================================== ClickHouse 22.12.3.5 100M Rows Hits Dataset, Second Run Queries Per Minute, Geo Mean > Higher Is Better a . 78.42 |=================================================================== b . 77.25 |================================================================== c . 79.55 |==================================================================== d . 78.00 |=================================================================== ClickHouse 22.12.3.5 100M Rows Hits Dataset, Third Run Queries Per Minute, Geo Mean > Higher Is Better a . 77.69 |================================================================== b . 80.28 |==================================================================== c . 79.84 |==================================================================== d . 78.40 |================================================================== CockroachDB 22.2 Workload: MoVR - Concurrency: 128 ops/s > Higher Is Better a . 147.9 |=================================================================== b . 148.2 |=================================================================== c . 149.5 |==================================================================== d . 150.0 |==================================================================== CockroachDB 22.2 Workload: MoVR - Concurrency: 256 ops/s > Higher Is Better a . 150.7 |==================================================================== b . 150.7 |==================================================================== c . 150.6 |==================================================================== d . 151.5 |==================================================================== CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 128 ops/s > Higher Is Better a . 11560.5 |================================================================== b . 11607.7 |================================================================== c . 11502.5 |================================================================= d . 11175.0 |================================================================ CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 256 ops/s > Higher Is Better a . 12750.9 |================================================================== b . 12748.3 |================================================================== c . 12673.8 |================================================================== d . 12602.9 |================================================================= CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 128 ops/s > Higher Is Better a . 13827.2 |================================================================== b . 13775.7 |================================================================== c . 13740.3 |================================================================== d . 13757.1 |================================================================== CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 256 ops/s > Higher Is Better a . 13826.4 |================================================================== b . 13911.6 |================================================================== c . 13875.1 |================================================================== d . 13904.6 |================================================================== CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 128 ops/s > Higher Is Better a . 14216.1 |================================================================== b . 14318.5 |================================================================== c . 14296.5 |================================================================== d . 14254.3 |================================================================== CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 256 ops/s > Higher Is Better a . 14216.0 |================================================================== b . 14192.9 |================================================================== c . 14220.4 |================================================================== d . 14209.1 |================================================================== CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 128 ops/s > Higher Is Better a . 16181.2 |================================================================== b . 16204.8 |================================================================== c . 16230.3 |================================================================== d . 16192.0 |================================================================== CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 256 ops/s > Higher Is Better a . 16148.8 |================================================================== b . 16159.0 |================================================================== c . 16080.8 |================================================================== d . 16154.8 |================================================================== GROMACS 2023 Implementation: MPI CPU - Input: water_GMX50_bare Ns Per Day > Higher Is Better a . 0.596 |==================================================================== b . 0.599 |==================================================================== c . 0.599 |==================================================================== d . 0.599 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 3.7459 |=================================================================== b . 3.7297 |=================================================================== c . 3.7482 |=================================================================== d . 3.7488 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 799.27 |=================================================================== b . 800.42 |=================================================================== c . 799.55 |=================================================================== d . 799.19 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 3.6177 |=================================================================== b . 3.6310 |=================================================================== c . 3.6344 |=================================================================== d . 3.6255 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 276.41 |=================================================================== b . 275.39 |=================================================================== c . 275.14 |=================================================================== d . 275.81 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 45.82 |==================================================================== b . 45.87 |==================================================================== c . 45.58 |==================================================================== d . 44.23 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 65.45 |================================================================== b . 65.38 |================================================================== c . 65.79 |================================================================== d . 67.81 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 36.93 |==================================================================== b . 35.37 |================================================================= c . 36.77 |==================================================================== d . 35.77 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 27.07 |================================================================= b . 28.26 |==================================================================== c . 27.18 |================================================================= d . 27.95 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 13.12 |==================================================================== b . 13.06 |==================================================================== c . 13.10 |==================================================================== d . 13.14 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 228.24 |=================================================================== b . 229.47 |=================================================================== c . 228.51 |=================================================================== d . 227.80 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 12.27 |==================================================================== b . 12.28 |==================================================================== c . 12.27 |==================================================================== d . 11.91 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 81.48 |================================================================== b . 81.45 |================================================================== c . 81.48 |================================================================== d . 83.93 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 22.79 |==================================================================== b . 22.67 |==================================================================== c . 22.61 |=================================================================== d . 22.66 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 131.54 |================================================================== b . 132.20 |=================================================================== c . 132.59 |=================================================================== d . 132.09 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 20.36 |==================================================================== b . 20.18 |=================================================================== c . 20.28 |==================================================================== d . 20.28 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 49.10 |=================================================================== b . 49.53 |==================================================================== c . 49.29 |==================================================================== d . 49.29 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 48.70 |==================================================================== b . 48.89 |==================================================================== c . 48.42 |=================================================================== d . 48.71 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 61.58 |==================================================================== b . 61.30 |=================================================================== c . 61.90 |==================================================================== d . 61.52 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 43.71 |==================================================================== b . 43.63 |==================================================================== c . 43.68 |==================================================================== d . 43.57 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 22.86 |==================================================================== b . 22.90 |==================================================================== c . 22.88 |==================================================================== d . 22.94 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 33.52 |==================================================================== b . 33.57 |==================================================================== c . 33.62 |==================================================================== d . 33.56 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 89.47 |==================================================================== b . 89.34 |==================================================================== c . 89.12 |==================================================================== d . 89.36 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 31.03 |==================================================================== b . 31.08 |==================================================================== c . 31.10 |==================================================================== d . 31.13 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 32.22 |==================================================================== b . 32.16 |==================================================================== c . 32.15 |==================================================================== d . 32.12 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 4.6351 |=================================================================== b . 4.6275 |=================================================================== c . 4.6267 |=================================================================== d . 4.6245 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 646.07 |=================================================================== b . 647.90 |=================================================================== c . 642.33 |================================================================== d . 647.95 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 4.7578 |=================================================================== b . 4.7532 |=================================================================== c . 4.7605 |=================================================================== d . 4.7631 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 210.16 |=================================================================== b . 210.36 |=================================================================== c . 210.05 |=================================================================== d . 209.93 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 16.32 |==================================================================== b . 16.33 |==================================================================== c . 16.35 |==================================================================== d . 16.29 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 183.53 |=================================================================== b . 183.67 |=================================================================== c . 183.50 |=================================================================== d . 184.13 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 15.12 |==================================================================== b . 15.10 |==================================================================== c . 15.05 |==================================================================== d . 15.11 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 66.14 |==================================================================== b . 66.22 |==================================================================== c . 66.44 |==================================================================== d . 66.18 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 3.7610 |=================================================================== b . 3.7858 |=================================================================== c . 3.7691 |=================================================================== d . 3.7530 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 794.00 |=================================================================== b . 791.79 |=================================================================== c . 792.50 |=================================================================== d . 793.67 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 3.6332 |=================================================================== b . 3.6404 |=================================================================== c . 3.6041 |================================================================== d . 3.6438 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 275.22 |================================================================== b . 274.68 |================================================================== c . 277.45 |=================================================================== d . 274.43 |================================================================== OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better a . 1.41 |===================================================================== b . 1.41 |===================================================================== c . 1.41 |===================================================================== d . 1.41 |===================================================================== OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU ms < Lower Is Better a . 2829.05 |================================================================== b . 2822.04 |================================================================== c . 2816.87 |================================================================== d . 2815.26 |================================================================== OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better a . 0.89 |===================================================================== b . 0.89 |===================================================================== c . 0.89 |===================================================================== d . 0.89 |===================================================================== OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU ms < Lower Is Better a . 4454.52 |================================================================== b . 4460.54 |================================================================== c . 4452.48 |================================================================== d . 4467.52 |================================================================== OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better a . 0.88 |===================================================================== b . 0.88 |===================================================================== c . 0.88 |===================================================================== d . 0.88 |===================================================================== OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU ms < Lower Is Better a . 4511.00 |================================================================== b . 4522.07 |================================================================== c . 4510.26 |================================================================== d . 4508.60 |================================================================== OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better a . 111.89 |=================================================================== b . 112.09 |=================================================================== c . 111.59 |=================================================================== d . 111.98 |=================================================================== OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better a . 35.70 |==================================================================== b . 35.64 |==================================================================== c . 35.80 |==================================================================== d . 35.67 |==================================================================== OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 1.80 |===================================================================== b . 1.81 |===================================================================== c . 1.80 |===================================================================== d . 1.80 |===================================================================== OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 2214.08 |================================================================== b . 2202.23 |================================================================== c . 2207.67 |================================================================== d . 2212.10 |================================================================== OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 140.13 |=================================================================== b . 140.21 |=================================================================== c . 140.38 |=================================================================== d . 139.94 |=================================================================== OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 28.53 |==================================================================== b . 28.51 |==================================================================== c . 28.47 |==================================================================== d . 28.57 |==================================================================== OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better a . 139.18 |=================================================================== b . 139.31 |=================================================================== c . 138.54 |=================================================================== d . 139.00 |=================================================================== OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better a . 28.71 |==================================================================== b . 28.69 |==================================================================== c . 28.84 |==================================================================== d . 28.75 |==================================================================== OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better a . 13.81 |==================================================================== b . 13.80 |==================================================================== c . 13.52 |=================================================================== d . 13.70 |=================================================================== OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better a . 289.37 |================================================================== b . 289.42 |================================================================== c . 295.62 |=================================================================== d . 291.20 |================================================================== OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 191.52 |=================================================================== b . 191.66 |=================================================================== c . 191.70 |=================================================================== d . 191.79 |=================================================================== OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 31.30 |==================================================================== b . 31.27 |==================================================================== c . 31.27 |==================================================================== d . 31.25 |==================================================================== OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better a . 200.69 |=================================================================== b . 200.29 |=================================================================== c . 199.96 |=================================================================== d . 200.13 |=================================================================== OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better a . 19.90 |==================================================================== b . 19.94 |==================================================================== c . 19.97 |==================================================================== d . 19.96 |==================================================================== OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better a . 3228.64 |================================================================== b . 3232.73 |================================================================== c . 3223.52 |================================================================== d . 3225.98 |================================================================== OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better a . 1.82 |===================================================================== b . 1.82 |===================================================================== c . 1.82 |===================================================================== d . 1.82 |===================================================================== OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better a . 3428.31 |================================================================== b . 3412.02 |================================================================== c . 3424.00 |================================================================== d . 3416.70 |================================================================== OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better a . 1.71 |===================================================================== b . 1.72 |===================================================================== c . 1.71 |===================================================================== d . 1.72 |===================================================================== RocksDB 7.9.2 Test: Random Fill Op/s > Higher Is Better a . 598706 |=================================================================== b . 594924 |=================================================================== c . 592814 |================================================================== d . 589180 |================================================================== RocksDB 7.9.2 Test: Random Read Op/s > Higher Is Better a . 22199286 |================================================================= b . 20383803 |=========================================================== c . 22264373 |================================================================= d . 22315684 |================================================================= RocksDB 7.9.2 Test: Update Random Op/s > Higher Is Better a . 303389 |================================================================== b . 303486 |================================================================== c . 307730 |=================================================================== d . 303208 |================================================================== RocksDB 7.9.2 Test: Sequential Fill Op/s > Higher Is Better a . 809744 |================================================================== b . 819537 |=================================================================== c . 811980 |================================================================== d . 783832 |================================================================ RocksDB 7.9.2 Test: Random Fill Sync Op/s > Higher Is Better a . 717935 |================================================================== b . 728367 |=================================================================== c . 719010 |================================================================== d . 726142 |=================================================================== RocksDB 7.9.2 Test: Read While Writing Op/s > Higher Is Better a . 930578 |================================================================= b . 928106 |================================================================= c . 939751 |================================================================== d . 955282 |=================================================================== RocksDB 7.9.2 Test: Read Random Write Random Op/s > Higher Is Better a . 899139 |=================================================================== b . 871244 |================================================================= c . 897512 |=================================================================== d . 898034 |=================================================================== Numenta Anomaly Benchmark 1.1 Detector: KNN CAD Seconds < Lower Is Better a . 380.61 |================================================================== b . 385.35 |=================================================================== c . 381.85 |================================================================== d . 388.21 |=================================================================== Numenta Anomaly Benchmark 1.1 Detector: Relative Entropy Seconds < Lower Is Better a . 32.13 |=================================================================== b . 31.88 |================================================================== c . 31.89 |================================================================== d . 32.83 |==================================================================== Numenta Anomaly Benchmark 1.1 Detector: Windowed Gaussian Seconds < Lower Is Better a . 18.73 |================================================================== b . 18.84 |=================================================================== c . 19.21 |==================================================================== d . 19.20 |==================================================================== Numenta Anomaly Benchmark 1.1 Detector: Earthgecko Skyline Seconds < Lower Is Better a . 239.52 |=================================================================== b . 240.07 |=================================================================== c . 237.92 |================================================================== d . 240.79 |=================================================================== Numenta Anomaly Benchmark 1.1 Detector: Bayesian Changepoint Seconds < Lower Is Better a . 60.95 |================================================================== b . 61.87 |=================================================================== c . 60.83 |================================================================== d . 63.07 |==================================================================== Numenta Anomaly Benchmark 1.1 Detector: Contextual Anomaly Detector OSE Seconds < Lower Is Better a . 101.99 |=================================================================== b . 99.45 |================================================================= c . 99.49 |================================================================= d . 100.77 |================================================================== BRL-CAD 7.34 VGR Performance Metric VGR Performance Metric > Higher Is Better a . 81607 |==================================================================== b . 81095 |==================================================================== c . 81180 |==================================================================== d . 80823 |===================================================================