3770k june Intel Core i7-3770K testing with a ECS Z77H2-A2X v1.0 (4.6.5 BIOS) and ECS Intel Xeon E3-1200 v2/3rd Gen Core on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: Intel Core i7-3770K @ 3.90GHz (4 Cores / 8 Threads), Motherboard: ECS Z77H2-A2X v1.0 (4.6.5 BIOS), Chipset: Intel Xeon E3-1200 v2/3rd, Memory: 8GB, Disk: 160GB INTEL SSDSA2M160, Graphics: ECS Intel Xeon E3-1200 v2/3rd Gen Core (1150MHz), Audio: Realtek ALC892, Monitor: G237HL, Network: 2 x Realtek RTL8111/8168/8411 OS: Ubuntu 20.04, Kernel: 5.8.0-55-generic (x86_64), Desktop: GNOME Shell 3.36.9, Display Server: X Server 1.20.9, Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Core i7-3770K @ 3.90GHz (4 Cores / 8 Threads), Motherboard: ECS Z77H2-A2X v1.0 (4.6.5 BIOS), Chipset: Intel Xeon E3-1200 v2/3rd, Memory: 8GB, Disk: 160GB INTEL SSDSA2M160, Graphics: ECS Intel Xeon E3-1200 v2/3rd Gen Core (1150MHz), Audio: Realtek ALC892, Monitor: G237HL, Network: 2 x Realtek RTL8111/8168/8411 OS: Ubuntu 20.04, Kernel: 5.8.0-55-generic (x86_64), Desktop: GNOME Shell 3.36.9, Display Server: X Server 1.20.9, Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Core i7-3770K @ 3.90GHz (4 Cores / 8 Threads), Motherboard: ECS Z77H2-A2X v1.0 (4.6.5 BIOS), Chipset: Intel Xeon E3-1200 v2/3rd, Memory: 8GB, Disk: 160GB INTEL SSDSA2M160, Graphics: ECS Intel Xeon E3-1200 v2/3rd Gen Core (1150MHz), Audio: Realtek ALC892, Monitor: G237HL, Network: 2 x Realtek RTL8111/8168/8411 OS: Ubuntu 20.04, Kernel: 5.8.0-55-generic (x86_64), Desktop: GNOME Shell 3.36.9, Display Server: X Server 1.20.9, Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 BRL-CAD 7.32.2 VGR Performance Metric VGR Performance Metric > Higher Is Better 1 . 39380 |==================================================================== 2 . 39354 |==================================================================== 3 . 39592 |==================================================================== Mobile Neural Network 1.2 Model: mobilenetV3 ms < Lower Is Better 1 . 3.555 |==================================================================== 2 . 3.541 |==================================================================== 3 . 3.565 |==================================================================== Mobile Neural Network 1.2 Model: squeezenetv1.1 ms < Lower Is Better 1 . 9.153 |=================================================================== 2 . 9.157 |=================================================================== 3 . 9.271 |==================================================================== Mobile Neural Network 1.2 Model: resnet-v2-50 ms < Lower Is Better 1 . 96.30 |=================================================================== 2 . 96.28 |=================================================================== 3 . 97.29 |==================================================================== Mobile Neural Network 1.2 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 16.94 |==================================================================== 2 . 16.87 |==================================================================== 3 . 16.95 |==================================================================== Mobile Neural Network 1.2 Model: MobileNetV2_224 ms < Lower Is Better 1 . 9.139 |==================================================================== 2 . 9.130 |==================================================================== 3 . 9.168 |==================================================================== Mobile Neural Network 1.2 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 13.06 |=================================================================== 2 . 13.09 |=================================================================== 3 . 13.23 |==================================================================== Mobile Neural Network 1.2 Model: inception-v3 ms < Lower Is Better 1 . 112.71 |=================================================================== 2 . 112.01 |=================================================================== 3 . 112.67 |=================================================================== TNN 0.3 Target: CPU - Model: DenseNet ms < Lower Is Better 1 . 4569.71 |================================================================== 2 . 4566.47 |================================================================== 3 . 4560.10 |================================================================== TNN 0.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 354.82 |=================================================================== 2 . 353.93 |=================================================================== 3 . 354.84 |=================================================================== TNN 0.3 Target: CPU - Model: SqueezeNet v2 ms < Lower Is Better 1 . 85.91 |==================================================================== 2 . 85.95 |==================================================================== 3 . 85.88 |==================================================================== TNN 0.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 316.96 |=================================================================== 2 . 318.37 |=================================================================== 3 . 317.50 |=================================================================== NCNN 20210525 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 65.02 |==================================================================== 2 . 64.89 |==================================================================== 3 . 65.09 |==================================================================== NCNN 20210525 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 16.59 |================================================================= 2 . 16.54 |================================================================ 3 . 17.49 |==================================================================== NCNN 20210525 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 14.91 |=================================================================== 2 . 14.74 |=================================================================== 3 . 15.06 |==================================================================== NCNN 20210525 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 9.11 |===================================================================== 2 . 9.14 |===================================================================== 3 . 9.11 |===================================================================== NCNN 20210525 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 14.46 |=================================================================== 2 . 14.43 |=================================================================== 3 . 14.74 |==================================================================== NCNN 20210525 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 25.67 |==================================================================== 2 . 25.29 |=================================================================== 3 . 25.25 |=================================================================== NCNN 20210525 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 2.68 |==================================================================== 2 . 2.68 |==================================================================== 3 . 2.70 |===================================================================== NCNN 20210525 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 77.93 |=================================================================== 2 . 78.98 |==================================================================== 3 . 78.75 |==================================================================== NCNN 20210525 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 814.35 |=================================================================== 2 . 814.66 |=================================================================== 3 . 813.24 |=================================================================== NCNN 20210525 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 87.60 |==================================================================== 2 . 88.02 |==================================================================== 3 . 87.37 |=================================================================== NCNN 20210525 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 53.46 |==================================================================== 2 . 53.69 |==================================================================== 3 . 53.58 |==================================================================== NCNN 20210525 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 154.48 |================================================================== 2 . 155.74 |=================================================================== 3 . 156.50 |=================================================================== NCNN 20210525 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 183.63 |=================================================================== 2 . 183.51 |=================================================================== 3 . 183.24 |=================================================================== NCNN 20210525 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 89.09 |=================================================================== 2 . 88.79 |=================================================================== 3 . 90.07 |==================================================================== NCNN 20210525 Target: CPU - Model: regnety_400m ms < Lower Is Better 1 . 21.66 |=================================================================== 2 . 21.65 |=================================================================== 3 . 21.85 |==================================================================== NCNN 20210525 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better 1 . 64.85 |=================================================================== 2 . 65.14 |=================================================================== 3 . 65.84 |==================================================================== NCNN 20210525 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 16.47 |==================================================================== 2 . 16.54 |==================================================================== 3 . 16.23 |=================================================================== NCNN 20210525 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 14.83 |================================================================== 2 . 15.20 |==================================================================== 3 . 14.70 |================================================================== NCNN 20210525 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 9.15 |===================================================================== 2 . 9.17 |===================================================================== 3 . 9.12 |===================================================================== NCNN 20210525 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better 1 . 14.37 |=================================================================== 2 . 14.52 |==================================================================== 3 . 14.41 |=================================================================== NCNN 20210525 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 25.31 |==================================================================== 2 . 25.39 |==================================================================== 3 . 25.36 |==================================================================== NCNN 20210525 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better 1 . 2.68 |===================================================================== 2 . 2.69 |===================================================================== 3 . 2.68 |===================================================================== NCNN 20210525 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better 1 . 77.39 |==================================================================== 2 . 77.78 |==================================================================== 3 . 77.39 |==================================================================== NCNN 20210525 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better 1 . 813.89 |=================================================================== 2 . 814.55 |=================================================================== 3 . 816.50 |=================================================================== NCNN 20210525 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better 1 . 87.68 |==================================================================== 2 . 87.48 |==================================================================== 3 . 87.31 |==================================================================== NCNN 20210525 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better 1 . 53.13 |=================================================================== 2 . 53.56 |==================================================================== 3 . 52.81 |=================================================================== NCNN 20210525 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better 1 . 156.72 |=================================================================== 2 . 155.93 |=================================================================== 3 . 153.60 |================================================================== NCNN 20210525 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better 1 . 183.38 |=================================================================== 2 . 183.22 |=================================================================== 3 . 184.28 |=================================================================== NCNN 20210525 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 88.67 |=================================================================== 2 . 90.25 |==================================================================== 3 . 89.42 |=================================================================== NCNN 20210525 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better 1 . 21.65 |==================================================================== 2 . 21.67 |==================================================================== 3 . 21.56 |==================================================================== GROMACS 2021.2 Implementation: MPI CPU - Input: water_GMX50_bare Ns Per Day > Higher Is Better 1 . 0.167 |==================================================================== 2 . 0.167 |==================================================================== 3 . 0.166 |==================================================================== NAS Parallel Benchmarks 3.4 Test / Class: BT.C Total Mop/s > Higher Is Better 1 . 7427.17 |================================================================== 2 . 7391.15 |================================================================== 3 . 7421.29 |================================================================== NAS Parallel Benchmarks 3.4 Test / Class: CG.C Total Mop/s > Higher Is Better 1 . 1599.58 |================================================================= 2 . 1629.09 |================================================================== 3 . 1607.80 |================================================================= NAS Parallel Benchmarks 3.4 Test / Class: EP.C Total Mop/s > Higher Is Better 1 . 372.01 |================================================================= 2 . 383.87 |=================================================================== 3 . 371.89 |================================================================= NAS Parallel Benchmarks 3.4 Test / Class: EP.D Total Mop/s > Higher Is Better 1 . 384.77 |================================================================== 2 . 392.89 |=================================================================== 3 . 390.95 |=================================================================== NAS Parallel Benchmarks 3.4 Test / Class: FT.C Total Mop/s > Higher Is Better 1 . 707.76 |========================================================== 2 . 816.87 |=================================================================== 3 . 594.50 |================================================= NAS Parallel Benchmarks 3.4 Test / Class: LU.C Total Mop/s > Higher Is Better 1 . 7609.70 |================================================================== 2 . 7618.95 |================================================================== 3 . 7612.27 |================================================================== NAS Parallel Benchmarks 3.4 Test / Class: MG.C Total Mop/s > Higher Is Better 1 . 2967.47 |================================================================== 2 . 2970.74 |================================================================== 3 . 2971.98 |================================================================== NAS Parallel Benchmarks 3.4 Test / Class: SP.B Total Mop/s > Higher Is Better 1 . 1808.82 |================================================================== 2 . 1806.68 |================================================================== 3 . 1804.38 |================================================================== NAS Parallel Benchmarks 3.4 Test / Class: SP.C Total Mop/s > Higher Is Better 1 . 1851.10 |================================================================== 2 . 1851.10 |================================================================== 3 . 1852.64 |================================================================== Timed FFmpeg Compilation 4.4 Time To Compile Seconds < Lower Is Better 1 . 175.92 |=================================================================== 2 . 176.72 |=================================================================== 3 . 176.61 |=================================================================== Timed GDB GNU Debugger Compilation 10.2 Time To Compile Seconds < Lower Is Better 1 . 171.22 |================================================================== 2 . 172.57 |=================================================================== 3 . 172.02 |=================================================================== Zstd Compression 1.5.0 Compression Level: 3 - Compression Speed MB/s > Higher Is Better 1 . 713.2 |==================================================================== 2 . 704.2 |=================================================================== 3 . 696.0 |================================================================== Zstd Compression 1.5.0 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better 1 . 2325.2 |=================================================================== 2 . 2326.8 |=================================================================== 3 . 2329.9 |=================================================================== Zstd Compression 1.5.0 Compression Level: 8 - Compression Speed MB/s > Higher Is Better 1 . 70.1 |===================================================================== 2 . 65.9 |================================================================= 3 . 65.8 |================================================================= Zstd Compression 1.5.0 Compression Level: 8 - Decompression Speed MB/s > Higher Is Better 1 . 2396.6 |=================================================================== 2 . 2400.1 |=================================================================== 3 . 2397.9 |=================================================================== Zstd Compression 1.5.0 Compression Level: 19 - Compression Speed MB/s > Higher Is Better 1 . 14.6 |===================================================================== 2 . 14.6 |===================================================================== 3 . 14.6 |===================================================================== Zstd Compression 1.5.0 Compression Level: 19 - Decompression Speed MB/s > Higher Is Better 1 . 2107.6 |=================================================================== 2 . 2101.6 |=================================================================== 3 . 2097.7 |=================================================================== Zstd Compression 1.5.0 Compression Level: 3, Long Mode - Compression Speed MB/s > Higher Is Better 1 . 505.2 |==================================================================== 2 . 504.4 |==================================================================== 3 . 506.3 |==================================================================== Zstd Compression 1.5.0 Compression Level: 3, Long Mode - Decompression Speed MB/s > Higher Is Better 1 . 2441.0 |=================================================================== 2 . 2441.7 |=================================================================== 3 . 2431.0 |=================================================================== Zstd Compression 1.5.0 Compression Level: 8, Long Mode - Compression Speed MB/s > Higher Is Better 1 . 83.0 |============================================================== 2 . 91.9 |===================================================================== 3 . 81.9 |============================================================= Zstd Compression 1.5.0 Compression Level: 8, Long Mode - Decompression Speed MB/s > Higher Is Better 1 . 2502.1 |=================================================================== 2 . 2503.3 |=================================================================== 3 . 2501.5 |=================================================================== Zstd Compression 1.5.0 Compression Level: 19, Long Mode - Compression Speed MB/s > Higher Is Better 1 . 13.9 |===================================================================== 2 . 13.9 |===================================================================== 3 . 13.9 |===================================================================== Zstd Compression 1.5.0 Compression Level: 19, Long Mode - Decompression Speed MB/s > Higher Is Better 1 . 2126.2 |=================================================================== 2 . 2121.2 |=================================================================== 3 . 2126.2 |=================================================================== VP9 libvpx Encoding 1.10.0 Speed: Speed 0 - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 1.82 |===================================================================== 2 . 1.83 |===================================================================== 3 . 1.81 |==================================================================== VP9 libvpx Encoding 1.10.0 Speed: Speed 5 - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 5.42 |===================================================================== 2 . 5.44 |===================================================================== 3 . 5.45 |===================================================================== VP9 libvpx Encoding 1.10.0 Speed: Speed 0 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 4.58 |===================================================================== 2 . 4.55 |===================================================================== 3 . 4.50 |==================================================================== VP9 libvpx Encoding 1.10.0 Speed: Speed 5 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 13.53 |==================================================================== 2 . 13.40 |=================================================================== 3 . 13.39 |=================================================================== dav1d 0.9.0 Video Input: Chimera 1080p FPS > Higher Is Better 1 . 203.96 |=================================================================== 2 . 204.19 |=================================================================== 3 . 204.39 |=================================================================== dav1d 0.9.0 Video Input: Summer Nature 4K FPS > Higher Is Better 1 . 50.91 |==================================================================== 2 . 50.85 |==================================================================== 3 . 50.80 |==================================================================== dav1d 0.9.0 Video Input: Summer Nature 1080p FPS > Higher Is Better 1 . 192.92 |=================================================================== 2 . 192.93 |=================================================================== 3 . 193.58 |=================================================================== dav1d 0.9.0 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better 1 . 60.21 |==================================================================== 2 . 60.24 |==================================================================== 3 . 60.22 |==================================================================== SVT-AV1 0.8.7 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 0.055 |==================================================================== 2 . 0.055 |==================================================================== 3 . 0.055 |==================================================================== SVT-AV1 0.8.7 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 0.681 |==================================================================== 2 . 0.682 |==================================================================== 3 . 0.685 |==================================================================== SVT-AV1 0.8.7 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 0.211 |==================================================================== 2 . 0.212 |==================================================================== 3 . 0.212 |==================================================================== SVT-AV1 0.8.7 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 2.839 |==================================================================== 2 . 2.846 |==================================================================== 3 . 2.847 |==================================================================== Embree 3.13 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better 1 . 3.6750 |=================================================================== 2 . 3.6625 |=================================================================== 3 . 3.6719 |=================================================================== Embree 3.13 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better 1 . 3.8178 |================================================================== 2 . 3.8456 |=================================================================== 3 . 3.8490 |=================================================================== Embree 3.13 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better 1 . 4.3717 |=================================================================== 2 . 4.3491 |=================================================================== 3 . 4.3723 |=================================================================== Embree 3.13 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better 1 . 4.0500 |=================================================================== 2 . 4.0496 |=================================================================== 3 . 4.0469 |=================================================================== Embree 3.13 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better 1 . 4.6913 |=================================================================== 2 . 4.6225 |================================================================== 3 . 4.6621 |=================================================================== Embree 3.13 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better 1 . 4.2050 |=================================================================== 2 . 4.1978 |=================================================================== 3 . 4.2015 |=================================================================== Intel Open Image Denoise 1.4.0 Run: RT.hdr_alb_nrm.3840x2160 Images / Sec > Higher Is Better 1 . 0.09 |===================================================================== 2 . 0.09 |===================================================================== 3 . 0.09 |===================================================================== Intel Open Image Denoise 1.4.0 Run: RT.ldr_alb_nrm.3840x2160 Images / Sec > Higher Is Better 1 . 0.09 |===================================================================== 2 . 0.09 |===================================================================== 3 . 0.09 |===================================================================== Intel Open Image Denoise 1.4.0 Run: RTLightmap.hdr.4096x4096 Images / Sec > Higher Is Better 1 . 0.04 |===================================================================== 2 . 0.04 |===================================================================== 3 . 0.04 |===================================================================== srsRAN 21.04 Test: OFDM_Test Samples / Second > Higher Is Better 1 . 70166667 |================================================================ 2 . 71600000 |================================================================= 3 . 71300000 |================================================================= srsRAN 21.04 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM eNb Mb/s > Higher Is Better 1 . 263.4 |================================================================== 2 . 271.8 |==================================================================== 3 . 265.5 |================================================================== srsRAN 21.04 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM UE Mb/s > Higher Is Better 1 . 86.9 |=================================================================== 2 . 89.9 |===================================================================== 3 . 87.0 |=================================================================== srsRAN 21.04 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM eNb Mb/s > Higher Is Better 1 . 273.1 |==================================================================== 2 . 274.9 |==================================================================== 3 . 272.7 |=================================================================== srsRAN 21.04 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM UE Mb/s > Higher Is Better 1 . 145.0 |==================================================================== 2 . 145.1 |==================================================================== 3 . 145.1 |==================================================================== srsRAN 21.04 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM eNb Mb/s > Higher Is Better 1 . 296.9 |==================================================================== 2 . 289.9 |================================================================== 3 . 294.6 |=================================================================== srsRAN 21.04 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM UE Mb/s > Higher Is Better 1 . 94.5 |===================================================================== 2 . 93.8 |==================================================================== 3 . 93.3 |==================================================================== srsRAN 21.04 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM eNb Mb/s > Higher Is Better 1 . 302.9 |==================================================================== 2 . 296.7 |=================================================================== 3 . 303.2 |==================================================================== srsRAN 21.04 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM UE Mb/s > Higher Is Better 1 . 164.5 |==================================================================== 2 . 159.0 |================================================================== 3 . 164.3 |==================================================================== srsRAN 21.04 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM eNb Mb/s > Higher Is Better 1 . 14.1 |===================================================================== 2 . 14.1 |===================================================================== 3 . 14.1 |===================================================================== srsRAN 21.04 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM UE Mb/s > Higher Is Better 1 . 6.4 |====================================================================== 2 . 6.3 |===================================================================== 3 . 6.4 |====================================================================== srsRAN 21.04 Test: 5G PHY_DL_NR Test 270 PRB SISO 256-QAM eNb Mb/s > Higher Is Better 1 . 14.7 |===================================================================== 2 . 14.6 |===================================================================== 3 . 14.7 |===================================================================== srsRAN 21.04 Test: 5G PHY_DL_NR Test 270 PRB SISO 256-QAM UE Mb/s > Higher Is Better 1 . 12.3 |===================================================================== 2 . 12.1 |==================================================================== 3 . 12.2 |====================================================================