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
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:
Processor: Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: Dell 06CDVY (1.0.9 BIOS), Chipset: Intel Ice Lake-LP DRAM, Memory: 16GB, Disk: Toshiba KBG40ZPZ512G NVMe 512GB, Graphics: Intel Iris Plus ICL GT2 16GB (1100MHz), Audio: Realtek ALC289, Network: Intel Ice Lake-LP PCH CNVi WiFi
OS: Ubuntu 22.04, Kernel: 5.19.0-41-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1200
b:
Processor: Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: Dell 06CDVY (1.0.9 BIOS), Chipset: Intel Ice Lake-LP DRAM, Memory: 16GB, Disk: Toshiba KBG40ZPZ512G NVMe 512GB, Graphics: Intel Iris Plus ICL GT2 16GB (1100MHz), Audio: Realtek ALC289, Network: Intel Ice Lake-LP PCH CNVi WiFi
OS: Ubuntu 22.04, Kernel: 5.19.0-41-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1200
c:
Processor: Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: Dell 06CDVY (1.0.9 BIOS), Chipset: Intel Ice Lake-LP DRAM, Memory: 16GB, Disk: Toshiba KBG40ZPZ512G NVMe 512GB, Graphics: Intel Iris Plus ICL GT2 16GB (1100MHz), Audio: Realtek ALC289, Network: Intel Ice Lake-LP PCH CNVi WiFi
OS: Ubuntu 22.04, Kernel: 5.19.0-41-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1200
Intel Open Image Denoise 2.0
Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 0.05 |=====================================================================
b . 0.05 |=====================================================================
c . 0.05 |=====================================================================
Intel Open Image Denoise 2.0
Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 0.10 |=====================================================================
b . 0.10 |=====================================================================
c . 0.10 |=====================================================================
Intel Open Image Denoise 2.0
Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 0.11 |=====================================================================
b . 0.10 |===============================================================
c . 0.10 |===============================================================
Neural Magic DeepSparse 1.5
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 410.01 |============================================================
b . 454.58 |===================================================================
c . 453.14 |===================================================================
Neural Magic DeepSparse 1.5
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 4.8773 |===================================================================
b . 4.3990 |============================================================
c . 4.4129 |=============================================================
Neural Magic DeepSparse 1.5
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 916.84 |===================================================================
b . 898.58 |==================================================================
c . 911.93 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 2.1776 |==================================================================
b . 2.2206 |===================================================================
c . 2.1914 |==================================================================
Neural Magic DeepSparse 1.5
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 916.62 |===================================================================
b . 918.47 |===================================================================
c . 919.72 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 2.1780 |===================================================================
b . 2.1728 |===================================================================
c . 2.1694 |===================================================================
Neural Magic DeepSparse 1.5
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 224.39 |==================================================================
b . 225.60 |===================================================================
c . 226.10 |===================================================================
Neural Magic DeepSparse 1.5
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 4.4560 |===================================================================
b . 4.4322 |===================================================================
c . 4.4223 |==================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 201.04 |================================================================
b . 205.22 |=================================================================
c . 210.21 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 9.9347 |===================================================================
b . 9.7376 |==================================================================
c . 9.5038 |================================================================
dav1d 1.2.1
Video Input: Summer Nature 4K
FPS > Higher Is Better
a . 52.31 |==========================================
b . 85.27 |====================================================================
c . 84.67 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 185.60 |===================================================================
b . 169.86 |=============================================================
c . 185.39 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 10.75 |==============================================================
b . 11.75 |====================================================================
c . 10.78 |==============================================================
Neural Magic DeepSparse 1.5
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 460.95 |===================================================================
b . 460.65 |===================================================================
c . 461.74 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 2.1694 |===================================================================
b . 2.1708 |===================================================================
c . 2.1657 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 92.52 |====================================================================
b . 92.26 |====================================================================
c . 92.30 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 10.81 |====================================================================
b . 10.84 |====================================================================
c . 10.83 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 443.16 |===================================================================
b . 418.26 |===============================================================
c . 432.45 |=================================================================
Neural Magic DeepSparse 1.5
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 2.2565 |===============================================================
b . 2.3908 |===================================================================
c . 2.3124 |=================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 106.54 |===============================================================
b . 112.66 |===================================================================
c . 113.04 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 9.3858 |===================================================================
b . 8.8754 |===============================================================
c . 8.8455 |===============================================================
Neural Magic DeepSparse 1.5
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 45.61 |==================================================================
b . 42.76 |==============================================================
c . 47.10 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 43.80 |================================================================
b . 46.74 |====================================================================
c . 42.43 |==============================================================
Neural Magic DeepSparse 1.5
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 23.43 |==================================================================
b . 24.09 |====================================================================
c . 23.85 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 42.67 |====================================================================
b . 41.50 |==================================================================
c . 41.91 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 91.54 |===============================================================
b . 90.03 |==============================================================
c . 98.33 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 21.83 |===================================================================
b . 22.19 |====================================================================
c . 20.33 |==============================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 52.66 |====================================================================
b . 52.54 |====================================================================
c . 51.65 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 18.99 |===================================================================
b . 19.03 |===================================================================
c . 19.36 |====================================================================
dav1d 1.2.1
Video Input: Chimera 1080p 10-bit
FPS > Higher Is Better
a . 199.67 |=========================================================
b . 236.09 |===================================================================
c . 213.86 |=============================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 80.10 |====================================================================
b . 74.35 |===============================================================
c . 71.58 |=============================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 12.48 |=============================================================
b . 13.45 |=================================================================
c . 13.97 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 130.95 |============================================================
b . 145.77 |===================================================================
c . 146.06 |===================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 15.26 |====================================================================
b . 13.72 |=============================================================
c . 13.68 |=============================================================
Neural Magic DeepSparse 1.5
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 51.81 |============================================================
b . 57.22 |===================================================================
c . 58.35 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 38.58 |====================================================================
b . 34.93 |==============================================================
c . 34.25 |============================================================
Neural Magic DeepSparse 1.5
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 29.56 |===================================================================
b . 29.11 |==================================================================
c . 29.80 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 33.82 |===================================================================
b . 34.34 |====================================================================
c . 33.54 |==================================================================
dav1d 1.2.1
Video Input: Chimera 1080p
FPS > Higher Is Better
a . 181.36 |=======================================
b . 309.17 |===================================================================
c . 310.19 |===================================================================
dav1d 1.2.1
Video Input: Summer Nature 1080p
FPS > Higher Is Better
a . 216.34 |=======================================
b . 371.35 |===================================================================
c . 371.23 |===================================================================
LevelDB 1.23
Benchmark: Sequential Fill
Microseconds Per Op < Lower Is Better
a . 32.10 |====================================================================
b . 18.21 |=======================================
c . 19.73 |==========================================
LevelDB 1.23
Benchmark: Sequential Fill
MB/s > Higher Is Better
a . 27.6 |=======================================
b . 48.6 |=====================================================================
c . 44.8 |================================================================
LevelDB 1.23
Benchmark: Random Delete
Microseconds Per Op < Lower Is Better
a . 26.17 |====================================================================
b . 18.11 |===============================================
c . 18.34 |================================================
LevelDB 1.23
Benchmark: Fill Sync
Microseconds Per Op < Lower Is Better
a . 8397.30 |==================================================================
b . 7210.97 |=========================================================
c . 4275.17 |==================================
LevelDB 1.23
Benchmark: Fill Sync
MB/s > Higher Is Better
a . 0.1 |===================================
b . 0.1 |===================================
c . 0.2 |======================================================================
LevelDB 1.23
Benchmark: Seek Random
Microseconds Per Op < Lower Is Better
a . 4.568 |=================================================================
b . 4.795 |====================================================================
c . 4.623 |==================================================================
LevelDB 1.23
Benchmark: Hot Read
Microseconds Per Op < Lower Is Better
a . 3.567 |==================================================================
b . 3.651 |====================================================================
c . 3.645 |====================================================================
LevelDB 1.23
Benchmark: Random Read
Microseconds Per Op < Lower Is Better
a . 3.381 |==============================================================
b . 3.704 |====================================================================
c . 3.648 |===================================================================
LevelDB 1.23
Benchmark: Random Fill
Microseconds Per Op < Lower Is Better
a . 24.98 |====================================================================
b . 19.89 |======================================================
c . 19.92 |======================================================
LevelDB 1.23
Benchmark: Random Fill
MB/s > Higher Is Better
a . 35.4 |=======================================================
b . 44.4 |=====================================================================
c . 44.4 |=====================================================================
LevelDB 1.23
Benchmark: Overwrite
Microseconds Per Op < Lower Is Better
a . 23.01 |====================================================================
b . 19.74 |==========================================================
c . 19.76 |==========================================================
LevelDB 1.23
Benchmark: Overwrite
MB/s > Higher Is Better
a . 38.4 |===========================================================
b . 44.7 |=====================================================================
c . 44.8 |=====================================================================