deb12 3800xt AMD Ryzen 7 3800XT 8-Core testing with a MSI X370 XPOWER GAMING TITANIUM (MS-7A31) v1.0 (1.MS BIOS) and Sapphire AMD Radeon HD 4650 on Debian 12 via the Phoronix Test Suite. a: Processor: AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads), Motherboard: MSI X370 XPOWER GAMING TITANIUM (MS-7A31) v1.0 (1.MS BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 128GB INTEL SSDPEKKW128G7, Graphics: Sapphire AMD Radeon HD 4650, Audio: AMD RV710/730, Network: Intel I211 OS: Debian 12, Kernel: 6.1.0-10-amd64 (x86_64), Display Server: X Server 1.20.11, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1024x768 OpenSSL 3.1 Algorithm: SHA256 byte/s > Higher Is Better a . 10853896120 |============================================================== OpenSSL 3.1 Algorithm: SHA512 byte/s > Higher Is Better a . 4059913400 |=============================================================== OpenSSL 3.1 Algorithm: ChaCha20 byte/s > Higher Is Better a . 35954474190 |============================================================== OpenSSL 3.1 Algorithm: AES-128-GCM byte/s > Higher Is Better a . 40432845350 |============================================================== OpenSSL 3.1 Algorithm: AES-256-GCM byte/s > Higher Is Better a . 37076254720 |============================================================== OpenSSL 3.1 Algorithm: ChaCha20-Poly1305 byte/s > Higher Is Better a . 23393517840 |============================================================== dav1d 1.2.1 Video Input: Chimera 1080p FPS > Higher Is Better a . 570.76 |=================================================================== dav1d 1.2.1 Video Input: Summer Nature 4K FPS > Higher Is Better a . 182.95 |=================================================================== dav1d 1.2.1 Video Input: Summer Nature 1080p FPS > Higher Is Better a . 757.15 |=================================================================== dav1d 1.2.1 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better a . 451.33 |=================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Live FPS > Higher Is Better a . 210.72 |=================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Live FPS > Higher Is Better a . 78.51 |==================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Upload FPS > Higher Is Better a . 13.01 |==================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Upload FPS > Higher Is Better a . 15.52 |==================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Platform FPS > Higher Is Better a . 49.78 |==================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Platform FPS > Higher Is Better a . 32.37 |==================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Video On Demand FPS > Higher Is Better a . 49.79 |==================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Video On Demand FPS > Higher Is Better a . 31.96 |==================================================================== Embree 4.1 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better a . 10.90 |==================================================================== Embree 4.1 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better a . 9.95 |===================================================================== Embree 4.1 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better a . 12.01 |==================================================================== Embree 4.1 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 10.66 |==================================================================== Embree 4.1 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better a . 11.33 |==================================================================== Embree 4.1 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 9.7637 |=================================================================== High Performance Conjugate Gradient 3.1 X Y Z: 104 104 104 - RT: 60 GFLOP/s > Higher Is Better a . 4.16036 |================================================================== Intel Open Image Denoise 2.0 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.34 |===================================================================== Intel Open Image Denoise 2.0 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.33 |===================================================================== Intel Open Image Denoise 2.0 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.17 |===================================================================== OSPRay 2.12 Benchmark: particle_volume/ao/real_time Items Per Second > Higher Is Better a . 2.7022 |=================================================================== OSPRay 2.12 Benchmark: particle_volume/scivis/real_time Items Per Second > Higher Is Better a . 2.66688 |================================================================== OSPRay 2.12 Benchmark: particle_volume/pathtracer/real_time Items Per Second > Higher Is Better a . 91.48 |==================================================================== OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Items Per Second > Higher Is Better a . 1.29592 |================================================================== OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Items Per Second > Higher Is Better a . 1.21587 |================================================================== OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Items Per Second > Higher Is Better a . 2.16177 |================================================================== srsRAN Project 23.5 Test: Downlink Processor Benchmark Mbps > Higher Is Better a . 683.6 |==================================================================== srsRAN Project 23.5 Test: PUSCH Processor Benchmark, Throughput Total Mbps > Higher Is Better a . 1423.4 |=================================================================== srsRAN Project 23.5 Test: PUSCH Processor Benchmark, Throughput Thread Mbps > Higher Is Better a . 233.5 |==================================================================== QuantLib 1.30 MFLOPS > Higher Is Better a . 2832.1 |=================================================================== GROMACS 2023 Implementation: MPI CPU - Input: water_GMX50_bare Ns Per Day > Higher Is Better a . 0.81 |===================================================================== Apache Cassandra 4.1.3 Test: Writes Op/s > Higher Is Better RocksDB 8.0 Test: Random Read Op/s > Higher Is Better a . 36555654 |================================================================= RocksDB 8.0 Test: Update Random Op/s > Higher Is Better a . 374977 |=================================================================== RocksDB 8.0 Test: Read While Writing Op/s > Higher Is Better a . 1614791 |================================================================== RocksDB 8.0 Test: Read Random Write Random Op/s > Higher Is Better a . 1404786 |================================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 point/sec > Higher Is Better a . 709723.82 |================================================================ Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 point/sec > Higher Is Better a . 1292342.53 |=============================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 point/sec > Higher Is Better a . 954533.92 |================================================================ Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 point/sec > Higher Is Better a . 1718096.74 |=============================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 point/sec > Higher Is Better a . 1466461.25 |=============================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 point/sec > Higher Is Better a . 1874681.26 |=============================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 point/sec > Higher Is Better a . 27322796.32 |============================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 point/sec > Higher Is Better a . 6717337.74 |=============================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 point/sec > Higher Is Better a . 7743784.57 |=============================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 point/sec > Higher Is Better a . 5110648.91 |=============================================================== John The Ripper 2023.03.14 Test: bcrypt Real C/S > Higher Is Better a . 14102 |==================================================================== John The Ripper 2023.03.14 Test: WPA PSK Real C/S > Higher Is Better a . 31722 |==================================================================== John The Ripper 2023.03.14 Test: Blowfish Real C/S > Higher Is Better a . 13742 |==================================================================== John The Ripper 2023.03.14 Test: HMAC-SHA512 Real C/S > Higher Is Better a . 31956000 |================================================================= John The Ripper 2023.03.14 Test: MD5 Real C/S > Higher Is Better a . 946739 |=================================================================== Apache HTTP Server 2.4.56 Concurrent Requests: 100 Requests Per Second > Higher Is Better a . 72209.25 |================================================================= Apache HTTP Server 2.4.56 Concurrent Requests: 200 Requests Per Second > Higher Is Better a . 74473.81 |================================================================= Apache HTTP Server 2.4.56 Concurrent Requests: 500 Requests Per Second > Higher Is Better a . 62483.25 |================================================================= Apache HTTP Server 2.4.56 Concurrent Requests: 1000 Requests Per Second > Higher Is Better a . 56044.46 |================================================================= Liquid-DSP 1.6 Threads: 1 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better a . 46528000 |================================================================= Liquid-DSP 1.6 Threads: 1 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 55908000 |================================================================= Liquid-DSP 1.6 Threads: 2 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better a . 92311000 |================================================================= Liquid-DSP 1.6 Threads: 2 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 107650000 |================================================================ Liquid-DSP 1.6 Threads: 4 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better a . 180130000 |================================================================ Liquid-DSP 1.6 Threads: 4 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 209890000 |================================================================ Liquid-DSP 1.6 Threads: 8 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better a . 350430000 |================================================================ Liquid-DSP 1.6 Threads: 8 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 408910000 |================================================================ Liquid-DSP 1.6 Threads: 1 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better a . 11033000 |================================================================= Liquid-DSP 1.6 Threads: 16 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better a . 620750000 |================================================================ Liquid-DSP 1.6 Threads: 16 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 499190000 |================================================================ Liquid-DSP 1.6 Threads: 2 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better a . 21446000 |================================================================= Liquid-DSP 1.6 Threads: 4 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better a . 42053000 |================================================================= Liquid-DSP 1.6 Threads: 8 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better a . 82174000 |================================================================= Liquid-DSP 1.6 Threads: 16 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better a . 140650000 |================================================================ OpenSSL 3.1 Algorithm: RSA4096 sign/s > Higher Is Better a . 2482 |===================================================================== OpenSSL 3.1 Algorithm: RSA4096 verify/s > Higher Is Better a . 160818.6 |================================================================= Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 Average Latency < Lower Is Better a . 13.83 |==================================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 Average Latency < Lower Is Better a . 24.46 |==================================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 Average Latency < Lower Is Better a . 13.68 |==================================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 Average Latency < Lower Is Better a . 22.06 |==================================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 Average Latency < Lower Is Better a . 10.72 |==================================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 Average Latency < Lower Is Better a . 22.82 |==================================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 Average Latency < Lower Is Better a . 55.63 |==================================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 Average Latency < Lower Is Better a . 712.36 |=================================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 Average Latency < Lower Is Better a . 207.17 |=================================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 Average Latency < Lower Is Better a . 873.1 |==================================================================== Google Draco 1.5.6 Model: Lion ms < Lower Is Better a . 4553 |===================================================================== Google Draco 1.5.6 Model: Church Facade ms < Lower Is Better a . 6531 |===================================================================== NCNN 20230517 Target: CPU - Model: mobilenet ms < Lower Is Better a . 14.19 |==================================================================== NCNN 20230517 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better a . 4.35 |===================================================================== NCNN 20230517 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better a . 3.29 |===================================================================== NCNN 20230517 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better a . 3.95 |===================================================================== NCNN 20230517 Target: CPU - Model: mnasnet ms < Lower Is Better a . 3.53 |===================================================================== NCNN 20230517 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better a . 5.97 |===================================================================== NCNN 20230517 Target: CPU - Model: blazeface ms < Lower Is Better a . 1.5 |====================================================================== NCNN 20230517 Target: CPU - Model: googlenet ms < Lower Is Better a . 12.32 |==================================================================== NCNN 20230517 Target: CPU - Model: vgg16 ms < Lower Is Better a . 53.43 |==================================================================== NCNN 20230517 Target: CPU - Model: resnet18 ms < Lower Is Better a . 9.01 |===================================================================== NCNN 20230517 Target: CPU - Model: alexnet ms < Lower Is Better a . 8.66 |===================================================================== NCNN 20230517 Target: CPU - Model: resnet50 ms < Lower Is Better a . 18.82 |==================================================================== NCNN 20230517 Target: CPU - Model: yolov4-tiny ms < Lower Is Better a . 23.76 |==================================================================== NCNN 20230517 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better a . 11.76 |==================================================================== NCNN 20230517 Target: CPU - Model: regnety_400m ms < Lower Is Better a . 8.62 |===================================================================== NCNN 20230517 Target: CPU - Model: vision_transformer ms < Lower Is Better a . 84.85 |==================================================================== NCNN 20230517 Target: CPU - Model: FastestDet ms < Lower Is Better a . 4.65 |===================================================================== SQLite 3.41.2 Threads / Copies: 1 Seconds < Lower Is Better a . 140.83 |=================================================================== SPECFEM3D 4.0 Model: Mount St. Helens Seconds < Lower Is Better a . 80.80 |==================================================================== SPECFEM3D 4.0 Model: Layered Halfspace Seconds < Lower Is Better a . 213.46 |=================================================================== SPECFEM3D 4.0 Model: Tomographic Model Seconds < Lower Is Better a . 75.45 |==================================================================== SPECFEM3D 4.0 Model: Homogeneous Halfspace Seconds < Lower Is Better a . 91.76 |==================================================================== SPECFEM3D 4.0 Model: Water-layered Halfspace Seconds < Lower Is Better a . 213.51 |=================================================================== Timed FFmpeg Compilation 6.0 Time To Compile Seconds < Lower Is Better a . 56.84 |==================================================================== Timed Godot Game Engine Compilation 4.0 Time To Compile Seconds < Lower Is Better a . 457.47 |=================================================================== Timed LLVM Compilation 16.0 Build System: Ninja Seconds < Lower Is Better a . 914.81 |=================================================================== Timed LLVM Compilation 16.0 Build System: Unix Makefiles Seconds < Lower Is Better a . 937.88 |=================================================================== Timed Mesa Compilation 21.0 Time To Compile Seconds < Lower Is Better a . 56.96 |==================================================================== Timed Node.js Compilation 19.8.1 Time To Compile Seconds < Lower Is Better a . 735.09 |=================================================================== Build2 0.15 Time To Compile Seconds < Lower Is Better a . 182.81 |=================================================================== Opus Codec Encoding 1.4 WAV To Opus Encode Seconds < Lower Is Better a . 27.06 |==================================================================== eSpeak-NG Speech Engine 1.51 Text-To-Speech Synthesis Seconds < Lower Is Better a . 26.95 |==================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Live Seconds < Lower Is Better a . 23.97 |==================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Live Seconds < Lower Is Better a . 64.32 |==================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Upload Seconds < Lower Is Better a . 194.09 |=================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Upload Seconds < Lower Is Better a . 162.69 |=================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Platform Seconds < Lower Is Better a . 152.16 |=================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Platform Seconds < Lower Is Better a . 233.99 |=================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Video On Demand Seconds < Lower Is Better a . 152.15 |=================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Video On Demand Seconds < Lower Is Better a . 237.02 |=================================================================== Blender 3.6 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 151.47 |=================================================================== Blender 3.6 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a . 409.7 |==================================================================== Blender 3.6 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 184.81 |=================================================================== Blender 3.6 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better a . 1575.05 |================================================================== Blender 3.6 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a . 476.52 |===================================================================