Benchmarks for a future article on Phoronix.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2408141-NE-NEW79994136
new 79
Benchmarks for a future article on Phoronix.
a:
Processor: AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2124 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E
OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
b:
Processor: AMD Ryzen 9 9950X 16-Core @ 5.75GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2124 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E
OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
c:
Processor: AMD Ryzen 9 9950X 16-Core @ 5.75GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2124 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E
OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
d:
Processor: AMD Ryzen 9 9950X 16-Core @ 5.75GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2124 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E
OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
e:
Processor: AMD Ryzen 9 9950X 16-Core @ 5.75GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2124 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E
OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
Etcpak 2.0
Benchmark: Multi-Threaded - Configuration: ETC2
Mpx/s > Higher Is Better
a . 596.92 |=====================================================
b . 748.46 |===================================================================
c . 748.01 |===================================================================
d . 747.31 |===================================================================
e . 751.34 |===================================================================
LeelaChessZero 0.31.1
Backend: BLAS
Nodes Per Second > Higher Is Better
a . 176 |======================================================
b . 221 |====================================================================
c . 220 |===================================================================
d . 225 |=====================================================================
e . 229 |======================================================================
LeelaChessZero 0.31.1
Backend: Eigen
Nodes Per Second > Higher Is Better
a . 174 |======================================================
b . 215 |===================================================================
c . 220 |=====================================================================
d . 222 |=====================================================================
e . 224 |======================================================================
Mobile Neural Network 2.9.b11b7037d
Model: nasnet
ms < Lower Is Better
a . 10.696 |===================================================================
b . 9.022 |=========================================================
c . 8.804 |=======================================================
d . 8.667 |======================================================
e . 8.879 |========================================================
Mobile Neural Network 2.9.b11b7037d
Model: mobilenetV3
ms < Lower Is Better
a . 1.663 |====================================================================
b . 1.243 |===================================================
c . 1.279 |====================================================
d . 1.253 |===================================================
e . 1.254 |===================================================
Mobile Neural Network 2.9.b11b7037d
Model: squeezenetv1.1
ms < Lower Is Better
a . 2.386 |====================================================================
b . 1.792 |===================================================
c . 1.769 |==================================================
d . 1.877 |=====================================================
e . 1.876 |=====================================================
x265
Video Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 123.85 |=============================================================
b . 135.11 |===================================================================
c . 133.93 |==================================================================
d . 135.90 |===================================================================
e . 134.66 |==================================================================
x265
Video Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 35.58 |===============================================================
b . 38.67 |====================================================================
c . 38.47 |====================================================================
d . 38.43 |====================================================================
e . 38.49 |====================================================================
Mobile Neural Network 2.9.b11b7037d
Model: resnet-v2-50
ms < Lower Is Better
a . 10.514 |===================================================================
b . 9.027 |==========================================================
c . 8.801 |========================================================
d . 8.882 |=========================================================
e . 9.414 |============================================================
Mobile Neural Network 2.9.b11b7037d
Model: SqueezeNetV1.0
ms < Lower Is Better
a . 3.502 |====================================================================
b . 2.690 |====================================================
c . 2.655 |====================================================
d . 2.651 |===================================================
e . 2.733 |=====================================================
Mobile Neural Network 2.9.b11b7037d
Model: MobileNetV2_224
ms < Lower Is Better
a . 2.756 |====================================================================
b . 2.263 |========================================================
c . 2.089 |====================================================
d . 2.290 |=========================================================
e . 2.282 |========================================================
Mobile Neural Network 2.9.b11b7037d
Model: mobilenet-v1-1.0
ms < Lower Is Better
a . 2.220 |====================================================================
b . 1.824 |========================================================
c . 1.796 |=======================================================
d . 1.823 |========================================================
e . 1.853 |=========================================================
7-Zip Compression
Test: Compression Rating
MIPS > Higher Is Better
a . 175582 |============================================================
b . 195225 |===================================================================
c . 195578 |===================================================================
d . 194936 |===================================================================
e . 194758 |===================================================================
Mobile Neural Network 2.9.b11b7037d
Model: inception-v3
ms < Lower Is Better
a . 22.42 |====================================================================
b . 16.27 |=================================================
c . 15.11 |==============================================
d . 15.32 |==============================================
e . 14.91 |=============================================
POV-Ray
Trace Time
Seconds < Lower Is Better
a . 17.90 |====================================================================
b . 16.19 |==============================================================
c . 15.96 |=============================================================
d . 15.87 |============================================================
e . 15.88 |============================================================
Y-Cruncher 0.8.5
Pi Digits To Calculate: 1B
Seconds < Lower Is Better
a . 16.05 |=================================================================
b . 16.68 |====================================================================
c . 16.66 |====================================================================
d . 16.63 |====================================================================
e . 16.74 |====================================================================
Y-Cruncher 0.8.5
Pi Digits To Calculate: 500M
Seconds < Lower Is Better
a . 7.718 |====================================================================
b . 7.734 |====================================================================
c . 7.667 |===================================================================
d . 7.661 |===================================================================
e . 7.663 |===================================================================
Stockfish
Chess Benchmark
Nodes Per Second > Higher Is Better
a . 51640585 |=================================================================
b . 50371860 |===============================================================
c . 47185663 |===========================================================
d . 50988324 |================================================================
e . 50168914 |===============================================================
7-Zip Compression
Test: Decompression Rating
MIPS > Higher Is Better
a . 175017 |===================================================================
b . 159037 |=============================================================
c . 159244 |=============================================================
d . 159132 |=============================================================
e . 159183 |=============================================================
XNNPACK 2cd86b
Model: FP32MobileNetV2
us < Lower Is Better
a . 1221 |=================================================================
b . 1292 |=====================================================================
c . 1284 |=====================================================================
d . 1274 |====================================================================
e . 1290 |=====================================================================
XNNPACK 2cd86b
Model: FP32MobileNetV3Large
us < Lower Is Better
a . 1503 |==================================================================
b . 1582 |=====================================================================
c . 1560 |====================================================================
d . 1549 |====================================================================
e . 1533 |===================================================================
XNNPACK 2cd86b
Model: FP32MobileNetV3Small
us < Lower Is Better
a . 749 |===============================================================
b . 827 |======================================================================
c . 818 |=====================================================================
d . 814 |=====================================================================
e . 810 |=====================================================================
XNNPACK 2cd86b
Model: FP16MobileNetV2
us < Lower Is Better
a . 982 |=====================================================================
b . 998 |======================================================================
c . 982 |=====================================================================
d . 984 |=====================================================================
e . 980 |=====================================================================
XNNPACK 2cd86b
Model: FP16MobileNetV3Large
us < Lower Is Better
a . 1236 |=================================================================
b . 1303 |=====================================================================
c . 1291 |====================================================================
d . 1292 |====================================================================
e . 1298 |=====================================================================
XNNPACK 2cd86b
Model: FP16MobileNetV3Small
us < Lower Is Better
a . 721 |=================================================================
b . 778 |======================================================================
c . 774 |======================================================================
d . 770 |=====================================================================
e . 773 |======================================================================
XNNPACK 2cd86b
Model: QU8MobileNetV2
us < Lower Is Better
a . 811 |======================================================================
b . 764 |==================================================================
c . 763 |==================================================================
d . 758 |=================================================================
e . 759 |==================================================================
XNNPACK 2cd86b
Model: QU8MobileNetV3Large
us < Lower Is Better
a . 1092 |===================================================================
b . 1127 |=====================================================================
c . 1119 |=====================================================================
d . 1105 |====================================================================
e . 1116 |====================================================================
XNNPACK 2cd86b
Model: QU8MobileNetV3Small
us < Lower Is Better
a . 706 |=================================================================
b . 762 |======================================================================
c . 749 |=====================================================================
d . 751 |=====================================================================
e . 751 |=====================================================================
GROMACS 2024
Implementation: MPI CPU - Input: water_GMX50_bare
Ns Per Day > Higher Is Better
a . 2.730 |===========================================================
b . 3.128 |====================================================================
c . 3.138 |====================================================================
d . 3.136 |====================================================================
e . 3.136 |====================================================================
ACES DGEMM 1.0
Sustained Floating-Point Rate
GFLOP/s > Higher Is Better
a . 1157.36 |==================================================================
b . 150.97 |=========
c . 151.12 |=========
d . 150.85 |=========
e . 151.02 |=========
Blender 4.2
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
a . 51.94 |====================================================================
b . 46.06 |============================================================
c . 45.99 |============================================================
d . 45.92 |============================================================
e . 46.10 |============================================================
Blender 4.2
Blend File: Junkshop - Compute: CPU-Only
Seconds < Lower Is Better
a . 69.44 |====================================================================
b . 62.14 |=============================================================
c . 61.70 |============================================================
d . 61.49 |============================================================
e . 61.50 |============================================================
Blender 4.2
Blend File: Classroom - Compute: CPU-Only
Seconds < Lower Is Better
a . 139.45 |===================================================================
b . 128.88 |==============================================================
c . 128.74 |==============================================================
d . 128.96 |==============================================================
e . 129.15 |==============================================================
Blender 4.2
Blend File: Fishy Cat - Compute: CPU-Only
Seconds < Lower Is Better
a . 68.17 |====================================================================
b . 65.17 |=================================================================
c . 65.05 |=================================================================
d . 64.41 |================================================================
e . 64.56 |================================================================
Blender 4.2
Blend File: Barbershop - Compute: CPU-Only
Seconds < Lower Is Better
a . 464.08 |===================================================================
b . 443.27 |================================================================
c . 443.91 |================================================================
d . 443.64 |================================================================
e . 444.52 |================================================================
Blender 4.2
Blend File: Pabellon Barcelona - Compute: CPU-Only
Seconds < Lower Is Better
a . 159.08 |===================================================================
b . 144.34 |=============================================================
c . 144.77 |=============================================================
d . 144.06 |=============================================================
e . 144.42 |=============================================================
OSPRay 3.2
Benchmark: particle_volume/ao/real_time
Items Per Second > Higher Is Better
a . 9.22669 |==================================================
b . 12.07130 |=================================================================
c . 12.08800 |=================================================================
d . 12.09630 |=================================================================
e . 12.09790 |=================================================================
OSPRay 3.2
Benchmark: particle_volume/scivis/real_time
Items Per Second > Higher Is Better
a . 9.18083 |=================================================
b . 12.09750 |=================================================================
c . 12.09980 |=================================================================
d . 12.09130 |=================================================================
e . 12.09490 |=================================================================
OSPRay 3.2
Benchmark: particle_volume/pathtracer/real_time
Items Per Second > Higher Is Better
a . 241.04 |==========================================================
b . 277.41 |===================================================================
c . 277.77 |===================================================================
d . 277.35 |===================================================================
e . 277.36 |===================================================================
OSPRay 3.2
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
Items Per Second > Higher Is Better
a . 8.08388 |======================================================
b . 9.84574 |==================================================================
c . 9.51049 |================================================================
d . 9.81964 |==================================================================
e . 9.83078 |==================================================================
OSPRay 3.2
Benchmark: gravity_spheres_volume/dim_512/scivis/real_time
Items Per Second > Higher Is Better
a . 7.93212 |======================================================
b . 9.63883 |==================================================================
c . 9.33382 |================================================================
d . 9.60483 |==================================================================
e . 9.59345 |==================================================================
OSPRay 3.2
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
Items Per Second > Higher Is Better
a . 9.21506 |======================================================
b . 11.04790 |=================================================================
c . 11.02600 |=================================================================
d . 11.06120 |=================================================================
e . 11.05850 |=================================================================
Build2 0.17
Time To Compile
Seconds < Lower Is Better
a . 86.65 |====================================================================
b . 77.71 |=============================================================
c . 75.63 |===========================================================
d . 75.79 |===========================================================
e . 76.06 |============================================================
simdjson 3.10
Throughput Test: Kostya
GB/s > Higher Is Better
a . 6.00 |=====================================================
b . 7.78 |====================================================================
c . 7.85 |=====================================================================
d . 7.86 |=====================================================================
e . 7.82 |=====================================================================
simdjson 3.10
Throughput Test: TopTweet
GB/s > Higher Is Better
a . 10.27 |===================================================
b . 13.63 |====================================================================
c . 13.57 |====================================================================
d . 13.62 |====================================================================
e . 13.60 |====================================================================
simdjson 3.10
Throughput Test: LargeRandom
GB/s > Higher Is Better
a . 1.82 |==========================================================
b . 2.16 |=====================================================================
c . 2.07 |==================================================================
d . 2.16 |=====================================================================
e . 2.07 |==================================================================
simdjson 3.10
Throughput Test: PartialTweets
GB/s > Higher Is Better
a . 9.69 |==================================================
b . 12.40 |================================================================
c . 12.99 |===================================================================
d . 12.96 |===================================================================
e . 13.25 |====================================================================
simdjson 3.10
Throughput Test: DistinctUserID
GB/s > Higher Is Better
a . 10.03 |=================================================
b . 13.93 |====================================================================
c . 13.91 |====================================================================
d . 13.30 |=================================================================
e . 13.23 |=================================================================