ble Intel Core i7-5960X testing with a Gigabyte X99-UD4-CF (F24c BIOS) and NVIDIA GeForce 6600 GT on Debian 12 via the Phoronix Test Suite. a: Processor: Intel Core i7-5960X @ 3.50GHz (8 Cores / 16 Threads), Motherboard: Gigabyte X99-UD4-CF (F24c BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 8 x 4GB DDR4-2400MT/s CMK16GX4M4A2666C16, Disk: 120GB INTEL SSDSC2BW12, Graphics: NVIDIA GeForce 6600 GT, Audio: Realtek ALC1150, Network: Intel I218-V OS: Debian 12, Kernel: 6.1.0-11-amd64 (x86_64), Compiler: GCC 12.2.0, File-System: ext4 b: Processor: Intel Core i7-5960X @ 3.50GHz (8 Cores / 16 Threads), Motherboard: Gigabyte X99-UD4-CF (F24c BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 8 x 4GB DDR4-2400MT/s CMK16GX4M4A2666C16, Disk: 120GB INTEL SSDSC2BW12, Graphics: NVIDIA GeForce 6600 GT, Audio: Realtek ALC1150, Network: Intel I218-V OS: Debian 12, Kernel: 6.1.0-11-amd64 (x86_64), Compiler: GCC 12.2.0, File-System: ext4 SVT-AV1 2.0 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 2.175 |==================================================================== b . 2.111 |================================================================== SVT-AV1 2.0 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 18.23 |==================================================================== b . 17.62 |================================================================== SVT-AV1 2.0 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 50.33 |==================================================================== b . 49.81 |=================================================================== SVT-AV1 2.0 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 50.10 |=================================================================== b . 50.55 |==================================================================== SVT-AV1 2.0 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 6.667 |==================================================================== b . 6.424 |================================================================== SVT-AV1 2.0 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 45.03 |=================================================================== b . 45.96 |==================================================================== SVT-AV1 2.0 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 176.72 |========================================================= b . 207.03 |=================================================================== SVT-AV1 2.0 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 224.96 |================================================================== b . 229.00 |=================================================================== Stockfish 16.1 Chess Benchmark Nodes Per Second > Higher Is Better a . 8543477 |================================================================== b . 8164948 |=============================================================== Timed Linux Kernel Compilation 6.8 Build: defconfig Seconds < Lower Is Better a . 207.69 |=================================================================== b . 209.10 |=================================================================== Timed Mesa Compilation 24.0 Time To Compile Seconds < Lower Is Better a . 57.09 |==================================================================== b . 57.27 |==================================================================== Primesieve 12.1 Length: 1e12 Seconds < Lower Is Better a . 46.72 |==================================================================== b . 46.74 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 1 - Model: AlexNet images/sec > Higher Is Better a . 8.74 |===================================================================== b . 8.67 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better a . 66.0 |===================================================================== b . 66.2 |===================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 32 - Model: AlexNet images/sec > Higher Is Better a . 79.12 |==================================================================== b . 79.09 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 1 - Model: GoogLeNet images/sec > Higher Is Better a . 6.76 |===================================================================== b . 6.71 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 images/sec > Higher Is Better a . 8.88 |===================================================================== b . 8.91 |===================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better a . 34.88 |==================================================================== b . 34.73 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better a . 11.41 |==================================================================== b . 11.38 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 32 - Model: GoogLeNet images/sec > Higher Is Better a . 33.99 |==================================================================== b . 33.96 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 images/sec > Higher Is Better a . 11.33 |==================================================================== b . 11.37 |==================================================================== Blender 4.1 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 229.34 |=================================================================== b . 230.26 |=================================================================== Blender 4.1 Blend File: Junkshop - Compute: CPU-Only Seconds < Lower Is Better a . 310.02 |=================================================================== b . 305.34 |================================================================== Blender 4.1 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a . 646.72 |=================================================================== b . 635.92 |================================================================== Blender 4.1 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 298.41 |=================================================================== b . 299.66 |=================================================================== RocksDB 9.0 Test: Overwrite Op/s > Higher Is Better a . 567712 |=================================================================== b . 564109 |=================================================================== RocksDB 9.0 Test: Random Read Op/s > Higher Is Better a . 26377577 |=============================================================== b . 27083591 |================================================================= RocksDB 9.0 Test: Update Random Op/s > Higher Is Better a . 307865 |=================================================================== b . 305734 |=================================================================== RocksDB 9.0 Test: Read While Writing Op/s > Higher Is Better a . 1584645 |================================================================== b . 1522121 |=============================================================== RocksDB 9.0 Test: Read Random Write Random Op/s > Higher Is Better a . 1068417 |================================================================= b . 1089286 |==================================================================