AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS) and AMD Radeon 16GB on Ubuntu 23.10 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2311277-PTS-DDD6902111
ddd
AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS) and AMD Radeon 16GB on Ubuntu 23.10 via the Phoronix Test Suite.
a:
Processor: AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 2000GB Samsung SSD 980 PRO 2TB, Graphics: AMD Radeon 16GB (2124/1218MHz), Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 23.10, Kernel: 6.6.0-phx-bcachefs (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54), Compiler: GCC 13.2.0 + LLVM 16.0.6, File-System: ext4, Screen Resolution: 3840x2160
b:
Processor: AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 2000GB Samsung SSD 980 PRO 2TB, Graphics: AMD Radeon 16GB (2124/1218MHz), Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 23.10, Kernel: 6.6.0-phx-bcachefs (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54), Compiler: GCC 13.2.0 + LLVM 16.0.6, File-System: ext4, Screen Resolution: 3840x2160
DaCapo Benchmark 23.11
Java Test: FOP Print Formatter
msec < Lower Is Better
a . 407 |======================================================================
b . 382 |==================================================================
DaCapo Benchmark 23.11
Java Test: PMD Source Code Analyzer
msec < Lower Is Better
a . 1104 |=================================================================
b . 1168 |=====================================================================
DaCapo Benchmark 23.11
Java Test: H2O In-Memory Platform For Machine Learning
msec < Lower Is Better
a . 2278 |==================================================================
b . 2383 |=====================================================================
DaCapo Benchmark 23.11
Java Test: Apache Lucene Search Engine
msec < Lower Is Better
a . 1223 |===================================================================
b . 1267 |=====================================================================
DaCapo Benchmark 23.11
Java Test: Apache Lucene Search Index
msec < Lower Is Better
a . 2526 |===================================================================
b . 2614 |=====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 32 - Model: ResNet-152
batches/sec > Higher Is Better
a . 20.79 |====================================================================
b . 20.10 |==================================================================
DaCapo Benchmark 23.11
Java Test: H2 Database Engine
msec < Lower Is Better
a . 1721 |=====================================================================
b . 1667 |===================================================================
DaCapo Benchmark 23.11
Java Test: Tradesoap
msec < Lower Is Better
a . 2361 |=====================================================================
b . 2297 |===================================================================
PyTorch 2.1
Device: CPU - Batch Size: 256 - Model: ResNet-152
batches/sec > Higher Is Better
a . 20.90 |====================================================================
b . 20.38 |==================================================================
DaCapo Benchmark 23.11
Java Test: Batik SVG Toolkit
msec < Lower Is Better
a . 1009 |=====================================================================
b . 985 |===================================================================
PyTorch 2.1
Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 12.70 |====================================================================
b . 12.41 |==================================================================
DaCapo Benchmark 23.11
Java Test: Avrora AVR Simulation Framework
msec < Lower Is Better
a . 3030 |===================================================================
b . 3100 |=====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: ResNet-50
batches/sec > Higher Is Better
a . 75.01 |==================================================================
b . 76.74 |====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: ResNet-152
batches/sec > Higher Is Better
a . 30.99 |====================================================================
b . 30.35 |===================================================================
PyTorch 2.1
Device: CPU - Batch Size: 64 - Model: ResNet-152
batches/sec > Higher Is Better
a . 20.46 |===================================================================
b . 20.87 |====================================================================
FFmpeg 6.1
Encoder: libx265 - Scenario: Live
FPS > Higher Is Better
a . 189.62 |==================================================================
b . 193.02 |===================================================================
DaCapo Benchmark 23.11
Java Test: Spring Boot
msec < Lower Is Better
a . 1329 |=====================================================================
b . 1306 |====================================================================
DaCapo Benchmark 23.11
Java Test: Apache Xalan XSLT
msec < Lower Is Better
a . 469 |======================================================================
b . 461 |=====================================================================
FFmpeg 6.1
Encoder: libx264 - Scenario: Upload
FPS > Higher Is Better
a . 18.21 |===================================================================
b . 18.52 |====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 512 - Model: ResNet-50
batches/sec > Higher Is Better
a . 49.51 |===================================================================
b . 50.34 |====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 12.76 |====================================================================
b . 12.58 |===================================================================
DaCapo Benchmark 23.11
Java Test: Jython
msec < Lower Is Better
a . 3659 |=====================================================================
b . 3608 |====================================================================
WebP2 Image Encode 20220823
Encode Settings: Default
MP/s > Higher Is Better
a . 14.62 |===================================================================
b . 14.82 |====================================================================
DaCapo Benchmark 23.11
Java Test: BioJava Biological Data Framework
msec < Lower Is Better
a . 4376 |=====================================================================
b . 4333 |====================================================================
DaCapo Benchmark 23.11
Java Test: GraphChi
msec < Lower Is Better
a . 2131 |=====================================================================
b . 2112 |====================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 100, Compression Effort 5
MP/s > Higher Is Better
a . 9.87 |=====================================================================
b . 9.79 |====================================================================
DaCapo Benchmark 23.11
Java Test: Zxing 1D/2D Barcode Image Processing
msec < Lower Is Better
a . 616 |=====================================================================
b . 621 |======================================================================
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 16.43 |===================================================================
b . 16.56 |====================================================================
FFmpeg 6.1
Encoder: libx265 - Scenario: Platform
FPS > Higher Is Better
a . 75.33 |====================================================================
b . 74.81 |====================================================================
Embree 4.3
Binary: Pathtracer - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 33.18 |====================================================================
b . 32.95 |====================================================================
Java SciMark 2.2
Computational Test: Sparse Matrix Multiply
Mflops > Higher Is Better
a . 3936.57 |==================================================================
b . 3912.13 |==================================================================
DaCapo Benchmark 23.11
Java Test: Apache Cassandra
msec < Lower Is Better
a . 5442 |=====================================================================
b . 5473 |=====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 64 - Model: ResNet-50
batches/sec > Higher Is Better
a . 50.66 |====================================================================
b . 50.39 |====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 512 - Model: ResNet-152
batches/sec > Higher Is Better
a . 20.82 |====================================================================
b . 20.93 |====================================================================
Embree 4.3
Binary: Pathtracer - Model: Crown
Frames Per Second > Higher Is Better
a . 32.84 |====================================================================
b . 32.67 |====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 12.62 |====================================================================
b . 12.56 |====================================================================
DaCapo Benchmark 23.11
Java Test: Eclipse
msec < Lower Is Better
a . 7098 |=====================================================================
b . 7066 |=====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
batches/sec > Higher Is Better
a . 50.05 |====================================================================
b . 49.83 |====================================================================
Timed FFmpeg Compilation 6.1
Time To Compile
Seconds < Lower Is Better
a . 22.12 |====================================================================
b . 22.21 |====================================================================
Blender 4.0
Blend File: Pabellon Barcelona - Compute: CPU-Only
Seconds < Lower Is Better
a . 158.37 |===================================================================
b . 159.01 |===================================================================
DaCapo Benchmark 23.11
Java Test: Tradebeans
msec < Lower Is Better
a . 3370 |=====================================================================
b . 3383 |=====================================================================
FFmpeg 6.1
Encoder: libx264 - Scenario: Live
FPS > Higher Is Better
a . 308.92 |===================================================================
b . 307.75 |===================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 35.10 |====================================================================
b . 34.97 |====================================================================
Embree 4.3
Binary: Pathtracer - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
a . 29.34 |====================================================================
b . 29.23 |====================================================================
DaCapo Benchmark 23.11
Java Test: Apache Tomcat
msec < Lower Is Better
a . 3377 |=====================================================================
b . 3389 |=====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 12.67 |====================================================================
b . 12.63 |====================================================================
Blender 4.0
Blend File: Fishy Cat - Compute: CPU-Only
Seconds < Lower Is Better
a . 64.18 |====================================================================
b . 64.00 |====================================================================
Blender 4.0
Blend File: Barbershop - Compute: CPU-Only
Seconds < Lower Is Better
a . 464.43 |===================================================================
b . 463.31 |===================================================================
Java SciMark 2.2
Computational Test: Fast Fourier Transform
Mflops > Higher Is Better
a . 470.52 |===================================================================
b . 471.56 |===================================================================
Java SciMark 2.2
Computational Test: Monte Carlo
Mflops > Higher Is Better
a . 2346.34 |==================================================================
b . 2351.47 |==================================================================
OpenSSL
Algorithm: SHA256
byte/s > Higher Is Better
a . 36100491030 |==============================================================
b . 36172449040 |==============================================================
OpenSSL
Algorithm: RSA4096
sign/s > Higher Is Better
a . 15089.6 |==================================================================
b . 15061.3 |==================================================================
PyTorch 2.1
Device: CPU - Batch Size: 256 - Model: ResNet-50
batches/sec > Higher Is Better
a . 50.38 |====================================================================
b . 50.29 |====================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
a . 29.91 |====================================================================
b . 29.86 |====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: ResNet-152
batches/sec > Higher Is Better
a . 20.96 |====================================================================
b . 20.93 |====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 32 - Model: ResNet-50
batches/sec > Higher Is Better
a . 50.23 |====================================================================
b . 50.30 |====================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Crown
Frames Per Second > Higher Is Better
a . 33.80 |====================================================================
b . 33.76 |====================================================================
FFmpeg 6.1
Encoder: libx265 - Scenario: Upload
FPS > Higher Is Better
a . 36.72 |====================================================================
b . 36.77 |====================================================================
Java SciMark 2.2
Computational Test: Composite
Mflops > Higher Is Better
a . 5660.58 |==================================================================
b . 5653.55 |==================================================================
FFmpeg 6.1
Encoder: libx264 - Scenario: Platform
FPS > Higher Is Better
a . 70.58 |====================================================================
b . 70.50 |====================================================================
Java SciMark 2.2
Computational Test: Dense LU Matrix Factorization
Mflops > Higher Is Better
a . 18996.73 |=================================================================
b . 18979.83 |=================================================================
PyTorch 2.1
Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 12.63 |====================================================================
b . 12.62 |====================================================================
OpenSSL
Algorithm: SHA512
byte/s > Higher Is Better
a . 11690406590 |==============================================================
b . 11681461040 |==============================================================
Blender 4.0
Blend File: Classroom - Compute: CPU-Only
Seconds < Lower Is Better
a . 130.65 |===================================================================
b . 130.74 |===================================================================
FFmpeg 6.1
Encoder: libx265 - Scenario: Video On Demand
FPS > Higher Is Better
a . 75.21 |====================================================================
b . 75.16 |====================================================================
DaCapo Benchmark 23.11
Java Test: jMonkeyEngine
msec < Lower Is Better
a . 6806 |=====================================================================
b . 6809 |=====================================================================
FFmpeg 6.1
Encoder: libx264 - Scenario: Video On Demand
FPS > Higher Is Better
a . 70.72 |====================================================================
b . 70.75 |====================================================================
DaCapo Benchmark 23.11
Java Test: Apache Kafka
msec < Lower Is Better
a . 6297 |=====================================================================
b . 6299 |=====================================================================
Blender 4.0
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
a . 51.34 |====================================================================
b . 51.33 |====================================================================
OpenSSL
Algorithm: RSA4096
verify/s > Higher Is Better
a . 393292.9 |=================================================================
b . 393267.4 |=================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 100, Lossless Compression
MP/s > Higher Is Better
a . 0.04 |=====================================================================
b . 0.04 |=====================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 95, Compression Effort 7
MP/s > Higher Is Better
a . 0.17 |=====================================================================
b . 0.17 |=====================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 75, Compression Effort 7
MP/s > Higher Is Better
a . 0.35 |=====================================================================
b . 0.35 |=====================================================================
Java SciMark 2.2
Computational Test: Jacobi Successive Over-Relaxation
Mflops > Higher Is Better
a . 2552.76 |==================================================================
b . 2552.76 |==================================================================
OpenSSL
Algorithm: ChaCha20-Poly1305
OpenSSL
Algorithm: AES-256-GCM
OpenSSL
Algorithm: AES-128-GCM
OpenSSL
Algorithm: ChaCha20