dd

AMD Ryzen 7 7840U testing with a PHX Ray_PEU (V1.04 BIOS) and AMD Phoenix1 512MB 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 2310248-NE-DD557351896
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

Creator Workloads 4 Tests
Game Development 2 Tests
Multi-Core 4 Tests
Intel oneAPI 4 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
a
October 24 2023
  1 Hour, 7 Minutes
b
October 24 2023
  1 Hour, 8 Minutes
c
October 24 2023
  1 Hour, 7 Minutes
Invert Hiding All Results Option
  1 Hour, 7 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


dd, "Embree 4.3 - Binary: Pathtracer - Model: Crown", Higher Results Are Better "a", "b", "c", "Embree 4.3 - Binary: Pathtracer ISPC - Model: Crown", Higher Results Are Better "a", "b", "c", "Embree 4.3 - Binary: Pathtracer - Model: Asian Dragon", Higher Results Are Better "a", "b", "c", "Embree 4.3 - Binary: Pathtracer - Model: Asian Dragon Obj", Higher Results Are Better "a", "b", "c", "Embree 4.3 - Binary: Pathtracer ISPC - Model: Asian Dragon", Higher Results Are Better "a", "b", "c", "Embree 4.3 - Binary: Pathtracer ISPC - Model: Asian Dragon Obj", Higher Results Are Better "a", "b", "c", "Intel Open Image Denoise 2.1 - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only", Higher Results Are Better "a",0.22212991490203 "b",0.22022551092319 "c",0.22001038449015 "Intel Open Image Denoise 2.1 - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only", Higher Results Are Better "a",0.22435408459046 "b",0.22099496352478 "c",0.22138783606674 "Intel Open Image Denoise 2.1 - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only", Higher Results Are Better "a",0.10645523238113 "b",0.10512605139192 "c",0.1054934667896 "OpenVKL 2.0.0 - Benchmark: vklBenchmarkCPU ISPC", Higher Results Are Better "a", "b", "c", "OpenVKL 2.0.0 - Benchmark: vklBenchmarkCPU Scalar", Higher Results Are Better "a", "b", "c", "QuantLib 1.32 - Configuration: Multi-Threaded", Higher Results Are Better "a", "b", "c", "QuantLib 1.32 - Configuration: Single-Threaded", Higher Results Are Better "a", "b", "c", "oneDNN 3.3 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", Lower Results Are Better "a", "b", "c", "oneDNN 3.3 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", Lower Results Are Better "a", "b", "c", "oneDNN 3.3 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "a", "b", "c", "oneDNN 3.3 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "a", "b", "c", "oneDNN 3.3 - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "a", "b", "c", "oneDNN 3.3 - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "a", "b", "c", "oneDNN 3.3 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", Lower Results Are Better "a", "b", "c", "oneDNN 3.3 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", Lower Results Are Better "a", "b", "c", "oneDNN 3.3 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", Lower Results Are Better "a", "b", "c", "oneDNN 3.3 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "a", "b", "c", "oneDNN 3.3 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "a", "b", "c", "oneDNN 3.3 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "a", "b", "c", "oneDNN 3.3 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", Lower Results Are Better "a", "b", "c", "oneDNN 3.3 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", Lower Results Are Better "a", "b", "c", "oneDNN 3.3 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "a", "b", "c", "oneDNN 3.3 - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "a", "b", "c", "oneDNN 3.3 - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "a", "b", "c", "oneDNN 3.3 - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "a", "b", "c", "oneDNN 3.3 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "a", "b", "c", "oneDNN 3.3 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "a", "b", "c", "oneDNN 3.3 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "a", "b", "c", "easyWave r34 - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240", Lower Results Are Better "a", "b", "c", "easyWave r34 - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200", Lower Results Are Better "a", "b", "c", "easyWave r34 - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400", Lower Results Are Better "a", "b", "c",