deee Tests for a future article. AMD Ryzen 7 PRO 6850U testing with a LENOVO ThinkPad X13 Gen 3 21CM0001US (R22ET51W 1.21 BIOS) and AMD Radeon 680M 1GB on Ubuntu 24.04 via the Phoronix Test Suite. a: Processor: AMD Ryzen 7 PRO 6850U @ 4.77GHz (8 Cores / 16 Threads), Motherboard: LENOVO ThinkPad X13 Gen 3 21CM0001US (R22ET51W 1.21 BIOS), Chipset: AMD 17h-19h PCIe Root Complex, Memory: 4 x 4GB LPDDR5-6400MT/s Micron MT62F1G32D4DR-031 WT, Disk: 512GB Micron MTFDKBA512TFK, Graphics: AMD Radeon 680M 1GB, Audio: AMD Rembrandt Radeon HD Audio, Network: Qualcomm QCNFA765 OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc4daily20240621-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.0.9-0ubuntu0.1 (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 b: Processor: AMD Ryzen 7 PRO 6850U @ 4.77GHz (8 Cores / 16 Threads), Motherboard: LENOVO ThinkPad X13 Gen 3 21CM0001US (R22ET51W 1.21 BIOS), Chipset: AMD 17h-19h PCIe Root Complex, Memory: 4 x 4GB LPDDR5-6400MT/s Micron MT62F1G32D4DR-031 WT, Disk: 512GB Micron MTFDKBA512TFK, Graphics: AMD Radeon 680M 1GB, Audio: AMD Rembrandt Radeon HD Audio, Network: Qualcomm QCNFA765 OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc4daily20240621-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.0.9-0ubuntu0.1 (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 Unvanquished 0.55 Resolution: 1920 x 1080 - Effects Quality: High Frames Per Second > Higher Is Better a . 254.1 |================================================================== b . 260.1 |==================================================================== Unvanquished 0.55 Resolution: 1920 x 1200 - Effects Quality: High Frames Per Second > Higher Is Better a . 234.1 |=============================================================== b . 251.1 |==================================================================== Unvanquished 0.55 Resolution: 1920 x 1080 - Effects Quality: Ultra Frames Per Second > Higher Is Better a . 227.2 |==================================================================== b . 227.4 |==================================================================== Unvanquished 0.55 Resolution: 1920 x 1200 - Effects Quality: Ultra Frames Per Second > Higher Is Better a . 202.1 |=================================================================== b . 204.8 |==================================================================== Unvanquished 0.55 Resolution: 1920 x 1080 - Effects Quality: Medium Frames Per Second > Higher Is Better a . 289.3 |=================================================================== b . 295.6 |==================================================================== Unvanquished 0.55 Resolution: 1920 x 1200 - Effects Quality: Medium Frames Per Second > Higher Is Better a . 273.5 |================================================================== b . 282.0 |==================================================================== SVT-AV1 2.3 Encoder Mode: Preset 3 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 2.108 |==================================================================== b . 2.011 |================================================================= SVT-AV1 2.3 Encoder Mode: Preset 5 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 7.910 |==================================================================== b . 7.424 |================================================================ SVT-AV1 2.3 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 27.54 |==================================================================== b . 26.75 |================================================================== SVT-AV1 2.3 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 69.51 |==================================================================== b . 67.50 |================================================================== SVT-AV1 2.3 Encoder Mode: Preset 3 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 7.713 |==================================================================== b . 7.432 |================================================================== SVT-AV1 2.3 Encoder Mode: Preset 5 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 27.46 |==================================================================== b . 26.64 |================================================================== SVT-AV1 2.3 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 93.96 |==================================================================== b . 91.83 |================================================================== SVT-AV1 2.3 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 317.22 |=================================================================== b . 309.21 |================================================================= SVT-AV1 2.3 Encoder Mode: Preset 3 - Input: Beauty 4K 10-bit Frames Per Second > Higher Is Better a . 0.361 |==================================================================== b . 0.354 |=================================================================== SVT-AV1 2.3 Encoder Mode: Preset 5 - Input: Beauty 4K 10-bit Frames Per Second > Higher Is Better a . 1.777 |==================================================================== b . 1.745 |=================================================================== SVT-AV1 2.3 Encoder Mode: Preset 8 - Input: Beauty 4K 10-bit Frames Per Second > Higher Is Better a . 3.575 |==================================================================== b . 3.471 |================================================================== SVT-AV1 2.3 Encoder Mode: Preset 13 - Input: Beauty 4K 10-bit Frames Per Second > Higher Is Better a . 6.061 |==================================================================== b . 5.960 |=================================================================== simdjson 3.10 Throughput Test: Kostya GB/s > Higher Is Better a . 3.60 |===================================================================== b . 3.61 |===================================================================== simdjson 3.10 Throughput Test: TopTweet GB/s > Higher Is Better a . 5.77 |===================================================================== b . 5.59 |=================================================================== simdjson 3.10 Throughput Test: LargeRandom GB/s > Higher Is Better a . 1.21 |===================================================================== b . 1.20 |==================================================================== simdjson 3.10 Throughput Test: PartialTweets GB/s > Higher Is Better a . 5.27 |===================================================================== b . 5.27 |===================================================================== simdjson 3.10 Throughput Test: DistinctUserID GB/s > Higher Is Better a . 5.63 |===================================================================== b . 5.57 |==================================================================== BYTE Unix Benchmark 5.1.3-git Computational Test: Pipe LPS > Higher Is Better a . 12834352.6 |=============================================================== b . 12796644.3 |=============================================================== BYTE Unix Benchmark 5.1.3-git Computational Test: Dhrystone 2 LPS > Higher Is Better a . 453010342.5 |============================================================== b . 450896213.3 |============================================================== BYTE Unix Benchmark 5.1.3-git Computational Test: System Call LPS > Higher Is Better a . 12910077.1 |=============================================================== b . 12889183.6 |=============================================================== Etcpak 2.0 Benchmark: Multi-Threaded - Configuration: ETC2 Mpx/s > Higher Is Better a . 145.55 |=================================================================== b . 146.61 |=================================================================== ASTC Encoder 5.0 Preset: Fast MT/s > Higher Is Better a . 109.86 |=================================================================== b . 110.03 |=================================================================== ASTC Encoder 5.0 Preset: Medium MT/s > Higher Is Better a . 42.90 |==================================================================== b . 42.87 |==================================================================== ASTC Encoder 5.0 Preset: Thorough MT/s > Higher Is Better a . 5.5121 |=================================================================== b . 5.5254 |=================================================================== ASTC Encoder 5.0 Preset: Exhaustive MT/s > Higher Is Better a . 0.4187 |=================================================================== b . 0.4187 |=================================================================== ASTC Encoder 5.0 Preset: Very Thorough MT/s > Higher Is Better a . 0.6938 |=================================================================== b . 0.6939 |=================================================================== BYTE Unix Benchmark 5.1.3-git Computational Test: Whetstone Double MWIPS > Higher Is Better a . 108036.2 |================================================================= b . 108028.1 |================================================================= LeelaChessZero 0.31.1 Backend: BLAS Nodes Per Second > Higher Is Better a . 39 |======================================================================= b . 39 |======================================================================= LeelaChessZero 0.31.1 Backend: Eigen Nodes Per Second > Higher Is Better a . 23 |==================================================================== b . 24 |======================================================================= Stockfish 17 Chess Benchmark Nodes Per Second > Higher Is Better a . 11737776 |============================================================== b . 12335823 |================================================================= NAMD 3.0 Input: ATPase with 327,506 Atoms ns/day > Higher Is Better a . 0.35120 |================================================================== b . 0.34971 |================================================================== NAMD 3.0 Input: STMV with 1,066,628 Atoms ns/day > Higher Is Better a . 0.10361 |================================================================== b . 0.10247 |================================================================= Apache Cassandra 5.0 Test: Writes Op/s > Higher Is Better a . 49601 |==================================================================== b . 49498 |==================================================================== oneDNN 3.6 Harness: IP Shapes 1D - Engine: CPU ms < Lower Is Better a . 7.20517 |================================================================ b . 7.41430 |================================================================== oneDNN 3.6 Harness: IP Shapes 3D - Engine: CPU ms < Lower Is Better a . 15.05 |==================================================================== b . 14.97 |==================================================================== oneDNN 3.6 Harness: Convolution Batch Shapes Auto - Engine: CPU ms < Lower Is Better a . 14.04 |==================================================================== b . 14.04 |==================================================================== oneDNN 3.6 Harness: Deconvolution Batch shapes_1d - Engine: CPU ms < Lower Is Better a . 10.97 |=================================================================== b . 11.09 |==================================================================== oneDNN 3.6 Harness: Deconvolution Batch shapes_3d - Engine: CPU ms < Lower Is Better a . 9.40138 |=============================================================== b . 9.81201 |================================================================== oneDNN 3.6 Harness: Recurrent Neural Network Training - Engine: CPU ms < Lower Is Better a . 5532.96 |================================================================== b . 5574.11 |================================================================== oneDNN 3.6 Harness: Recurrent Neural Network Inference - Engine: CPU ms < Lower Is Better a . 3029.16 |================================================================== b . 3020.32 |================================================================== Mobile Neural Network 2.9.b11b7037d Model: nasnet ms < Lower Is Better a . 13.37 |==================================================================== b . 13.46 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: mobilenetV3 ms < Lower Is Better a . 1.662 |==================================================================== b . 1.660 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: squeezenetv1.1 ms < Lower Is Better a . 2.911 |=================================================================== b . 2.943 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: resnet-v2-50 ms < Lower Is Better a . 23.46 |==================================================================== b . 23.50 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: SqueezeNetV1.0 ms < Lower Is Better a . 6.463 |==================================================================== b . 6.465 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: MobileNetV2_224 ms < Lower Is Better a . 3.280 |==================================================================== b . 3.253 |=================================================================== Mobile Neural Network 2.9.b11b7037d Model: mobilenet-v1-1.0 ms < Lower Is Better a . 3.537 |==================================================================== b . 3.553 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: inception-v3 ms < Lower Is Better a . 33.83 |==================================================================== b . 34.05 |==================================================================== CP2K Molecular Dynamics 2024.3 Input: H20-64 Seconds < Lower Is Better a . 211.81 |=============================================================== b . 226.28 |=================================================================== CP2K Molecular Dynamics 2024.3 Input: H20-256 Seconds < Lower Is Better a . 1706.54 |================================================================== b . 1711.06 |================================================================== CP2K Molecular Dynamics 2024.3 Input: Fayalite-FIST Seconds < Lower Is Better a . 248.73 |================================================================= b . 256.11 |=================================================================== Epoch 4.19.4 Epoch3D Deck: Cone Seconds < Lower Is Better a . 779.85 |================================================================= b . 805.69 |=================================================================== WarpX 24.10 Input: Uniform Plasma Seconds < Lower Is Better a . 37.25 |==================================================================== b . 35.67 |================================================================= WarpX 24.10 Input: Plasma Acceleration Seconds < Lower Is Better a . 86.91 |==================================================================== b . 87.34 |==================================================================== Build2 0.17 Time To Compile Seconds < Lower Is Better a . 367.75 |================================================================== b . 373.34 |=================================================================== Primesieve 12.5 Length: 1e12 Seconds < Lower Is Better a . 32.88 |================================================================== b . 33.98 |==================================================================== Primesieve 12.5 Length: 1e13 Seconds < Lower Is Better a . 407.60 |================================================================ b . 423.60 |=================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 1B Seconds < Lower Is Better a . 64.20 |================================================================== b . 66.30 |==================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 28.29 |================================================================== b . 29.16 |==================================================================== Opus Codec Encoding 1.5.2 WAV To Opus Encode Seconds < Lower Is Better a . 25.12 |==================================================================== b . 25.05 |==================================================================== Whisperfile 20Aug24 Model Size: Tiny Seconds < Lower Is Better a . 96.03 |==================================================================== b . 96.23 |==================================================================== Whisperfile 20Aug24 Model Size: Small Seconds < Lower Is Better a . 447.39 |================================================================== b . 453.20 |=================================================================== Whisperfile 20Aug24 Model Size: Medium Seconds < Lower Is Better a . 1342.06 |================================================================= b . 1360.27 |================================================================== XNNPACK b7b048 Model: FP32MobileNetV1 us < Lower Is Better a . 3686 |===================================================================== b . 3680 |===================================================================== XNNPACK b7b048 Model: FP32MobileNetV2 us < Lower Is Better a . 2457 |===================================================================== b . 2431 |==================================================================== XNNPACK b7b048 Model: FP32MobileNetV3Large us < Lower Is Better a . 2431 |==================================================================== b . 2450 |===================================================================== XNNPACK b7b048 Model: FP32MobileNetV3Small us < Lower Is Better a . 815 |===================================================================== b . 823 |====================================================================== XNNPACK b7b048 Model: FP16MobileNetV1 us < Lower Is Better a . 4131 |==================================================================== b . 4176 |===================================================================== XNNPACK b7b048 Model: FP16MobileNetV2 us < Lower Is Better a . 2703 |==================================================================== b . 2732 |===================================================================== XNNPACK b7b048 Model: FP16MobileNetV3Large us < Lower Is Better a . 2529 |===================================================================== b . 2517 |===================================================================== XNNPACK b7b048 Model: FP16MobileNetV3Small us < Lower Is Better a . 920 |===================================================================== b . 935 |====================================================================== XNNPACK b7b048 Model: QS8MobileNetV2 us < Lower Is Better a . 1781 |===================================================================== b . 1781 |=====================================================================