ddsa

Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus ICL GT2 16GB on Ubuntu 22.04 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 2306075-NE-DDSA3056816

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:

C/C++ Compiler Tests ^{2 Tests}
Creator Workloads ^{2 Tests}
Multi-Core ^{2 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

Performance Per
Dollar

Date
Run

Test
Duration

a

June 07 2023

46 Minutes

b

June 07 2023

45 Minutes

c

June 07 2023

45 Minutes

Invert Hiding All Results Option

45 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):

ddsa Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus ICL GT2 16GB on Ubuntu 22.04 via the Phoronix Test Suite. ,,"a","b","c" Processor,,Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads),Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads),Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads) Motherboard,,Dell 06CDVY (1.0.9 BIOS),Dell 06CDVY (1.0.9 BIOS),Dell 06CDVY (1.0.9 BIOS) Chipset,,Intel Ice Lake-LP DRAM,Intel Ice Lake-LP DRAM,Intel Ice Lake-LP DRAM Memory,,16GB,16GB,16GB Disk,,Toshiba KBG40ZPZ512G NVMe 512GB,Toshiba KBG40ZPZ512G NVMe 512GB,Toshiba KBG40ZPZ512G NVMe 512GB Graphics,,Intel Iris Plus ICL GT2 16GB (1100MHz),Intel Iris Plus ICL GT2 16GB (1100MHz),Intel Iris Plus ICL GT2 16GB (1100MHz) Audio,,Realtek ALC289,Realtek ALC289,Realtek ALC289 Network,,Intel Ice Lake-LP PCH CNVi WiFi,Intel Ice Lake-LP PCH CNVi WiFi,Intel Ice Lake-LP PCH CNVi WiFi OS,,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04 Kernel,,5.19.0-41-generic (x86_64),5.19.0-41-generic (x86_64),5.19.0-41-generic (x86_64) Desktop,,GNOME Shell 42.2,GNOME Shell 42.2,GNOME Shell 42.2 Display Server,,X Server + Wayland,X Server + Wayland,X Server + Wayland OpenGL,,4.6 Mesa 22.0.1,4.6 Mesa 22.0.1,4.6 Mesa 22.0.1 OpenCL,,OpenCL 3.0,OpenCL 3.0,OpenCL 3.0 Vulkan,,1.3.204,1.3.204,1.3.204 Compiler,,GCC 11.3.0,GCC 11.3.0,GCC 11.3.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1200,1920x1200,1920x1200 ,,"a","b","c" "LevelDB - Benchmark: Hot Read (us/Op)",LIB,3.567,3.651,3.645 "LevelDB - Benchmark: Fill Sync (MB/s)",HIB,0.1,0.1,0.2 "LevelDB - Benchmark: Fill Sync (us/Op)",LIB,8397.298,7210.967,4275.169 "LevelDB - Benchmark: Overwrite (MB/s)",HIB,38.4,44.7,44.8 "LevelDB - Benchmark: Overwrite (us/Op)",LIB,23.007,19.738,19.76 "LevelDB - Benchmark: Random Fill (MB/s)",HIB,35.4,44.4,44.4 "LevelDB - Benchmark: Random Fill (us/Op)",LIB,24.983,19.892,19.918 "LevelDB - Benchmark: Random Read (us/Op)",LIB,3.381,3.704,3.648 "LevelDB - Benchmark: Seek Random (us/Op)",LIB,4.568,4.795,4.623 "LevelDB - Benchmark: Random Delete (us/Op)",LIB,26.168,18.113,18.338 "LevelDB - Benchmark: Sequential Fill (MB/s)",HIB,27.6,48.6,44.8 "LevelDB - Benchmark: Sequential Fill (us/Op)",LIB,32.099,18.21,19.733 "dav1d - Video Input: Chimera 1080p (FPS)",HIB,181.36,309.17,310.19 "dav1d - Video Input: Summer Nature 4K (FPS)",HIB,52.31,85.27,84.67 "dav1d - Video Input: Summer Nature 1080p (FPS)",HIB,216.34,371.35,371.23 "dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,199.67,236.09,213.86 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.10,0.10,0.10 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.11,0.10,0.10 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,0.05,0.05,0.05 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,2.1776,2.2206,2.1914 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,916.8394,898.5761,911.9308 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,2.2565,2.3908,2.3124 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,443.1601,418.2638,432.4499 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,43.8043,46.7406,42.426 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,45.614,42.7614,47.0957 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream (items/sec)",HIB,42.6712,41.496,41.9066 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream (ms/batch)",LIB,23.4254,24.0895,23.8529 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,10.7483,11.7455,10.7824 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,185.5974,169.8557,185.39 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (items/sec)",HIB,10.8071,10.8375,10.8324 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,92.5211,92.2606,92.3042 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,15.2629,13.7156,13.6809 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,130.9472,145.7696,146.0596 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,12.4811,13.4465,13.9664 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,80.1045,74.3518,71.5843 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,38.579,34.933,34.2534 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,51.8081,57.2208,58.3524 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,33.8156,34.3443,33.5414 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,29.5601,29.1054,29.8012 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,21.8314,22.1879,20.3261 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,91.5355,90.0271,98.3264 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,18.9862,19.0299,19.3597 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,52.6619,52.5406,51.6455 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,4.8773,4.399,4.4129 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,410.0077,454.5777,453.1398 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (items/sec)",HIB,4.456,4.4322,4.4223 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (ms/batch)",LIB,224.3931,225.5964,226.1029 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,9.9347,9.7376,9.5038 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,201.0426,205.223,210.2088 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (items/sec)",HIB,9.3858,8.8754,8.8455 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,106.535,112.6616,113.0427 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,2.178,2.1728,2.1694 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,916.6246,918.4737,919.7244 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,2.1694,2.1708,2.1657 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,460.9519,460.6486,461.7438