Intel Core i7-1280P testing with a MSI MS-14C6 (E14C6IMS.115 BIOS) and MSI Intel ADL GT2 15GB on Ubuntu 22.10 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 2302026-NE-ADLFEB23315
adl feb
Intel Core i7-1280P testing with a MSI MS-14C6 (E14C6IMS.115 BIOS) and MSI Intel ADL GT2 15GB on Ubuntu 22.10 via the Phoronix Test Suite.
a:
Processor: Intel Core i7-1280P @ 4.80GHz (14 Cores / 20 Threads), Motherboard: MSI MS-14C6 (E14C6IMS.115 BIOS), Chipset: Intel Alder Lake PCH, Memory: 16GB, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: MSI Intel ADL GT2 15GB (1450MHz), Audio: Realtek ALC274, Network: Intel Alder Lake-P PCH CNVi WiFi
OS: Ubuntu 22.10, Kernel: 5.19.0-29-generic (x86_64), Desktop: Xfce 4.16, Display Server: X Server 1.21.1.4, OpenGL: 4.6 Mesa 22.2.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.224, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080
n:
Processor: Intel Core i7-1280P @ 4.80GHz (14 Cores / 20 Threads), Motherboard: MSI MS-14C6 (E14C6IMS.115 BIOS), Chipset: Intel Alder Lake PCH, Memory: 16GB, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: MSI Intel ADL GT2 15GB (1450MHz), Audio: Realtek ALC274, Network: Intel Alder Lake-P PCH CNVi WiFi
OS: Ubuntu 22.10, Kernel: 5.19.0-29-generic (x86_64), Desktop: Xfce 4.16, Display Server: X Server 1.21.1.4, OpenGL: 4.6 Mesa 22.2.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.224, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080
c:
Processor: Intel Core i7-1280P @ 4.80GHz (14 Cores / 20 Threads), Motherboard: MSI MS-14C6 (E14C6IMS.115 BIOS), Chipset: Intel Alder Lake PCH, Memory: 16GB, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: MSI Intel ADL GT2 15GB (1450MHz), Audio: Realtek ALC274, Network: Intel Alder Lake-P PCH CNVi WiFi
OS: Ubuntu 22.10, Kernel: 5.19.0-29-generic (x86_64), Desktop: Xfce 4.16, Display Server: X Server 1.21.1.4, OpenGL: 4.6 Mesa 22.2.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.224, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080
Apache Spark 3.3
Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test Time
Seconds < Lower Is Better
a . 12.70 |============================================================
n . 13.55 |================================================================
c . 14.39 |====================================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 500 - Inner Join Test Time
Seconds < Lower Is Better
a . 14.41 |================================================================
n . 14.60 |=================================================================
c . 15.33 |====================================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 500 - Repartition Test Time
Seconds < Lower Is Better
a . 11.95 |=================================================================
n . 12.10 |==================================================================
c . 12.53 |====================================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 500 - Group By Test Time
Seconds < Lower Is Better
a . 8.93 |====================================================================
n . 9.02 |=====================================================================
c . 8.88 |====================================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe
Seconds < Lower Is Better
a . 11.87 |===================================================================
n . 12.03 |====================================================================
c . 11.88 |===================================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark
Seconds < Lower Is Better
a . 207.45 |==================================================================
n . 207.76 |===================================================================
c . 209.01 |===================================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark Time
Seconds < Lower Is Better
a . 16.49 |====================================================================
n . 16.51 |====================================================================
c . 16.58 |====================================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test Time
Seconds < Lower Is Better
a . 12.84 |==================================================================
n . 13.16 |===================================================================
c . 13.29 |====================================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 2000 - Inner Join Test Time
Seconds < Lower Is Better
a . 14.32 |===================================================================
n . 14.48 |====================================================================
c . 14.15 |==================================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 2000 - Repartition Test Time
Seconds < Lower Is Better
a . 12.04 |===================================================================
n . 12.26 |====================================================================
c . 12.21 |====================================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 2000 - Group By Test Time
Seconds < Lower Is Better
a . 9.21 |====================================================================
n . 9.19 |====================================================================
c . 9.34 |=====================================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe
Seconds < Lower Is Better
a . 11.85 |====================================================================
n . 11.74 |===================================================================
c . 11.84 |====================================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark
Seconds < Lower Is Better
a . 207.55 |===================================================================
n . 207.76 |===================================================================
c . 208.25 |===================================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark Time
Seconds < Lower Is Better
a . 16.77 |====================================================================
n . 16.69 |===================================================================
c . 16.87 |====================================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test Time
Seconds < Lower Is Better
a . 13.10 |==================================================================
n . 12.98 |=================================================================
c . 13.54 |====================================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 1000 - Inner Join Test Time
Seconds < Lower Is Better
a . 13.44 |===============================================================
n . 14.46 |====================================================================
c . 13.77 |=================================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 1000 - Repartition Test Time
Seconds < Lower Is Better
a . 12.18 |====================================================================
n . 11.11 |==============================================================
c . 12.07 |===================================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 1000 - Group By Test Time
Seconds < Lower Is Better
a . 9.05 |===========================================================
n . 10.43 |====================================================================
c . 8.33 |======================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe
Seconds < Lower Is Better
a . 11.90 |====================================================================
n . 11.85 |====================================================================
c . 11.79 |===================================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark
Seconds < Lower Is Better
a . 207.52 |===================================================================
n . 207.47 |===================================================================
c . 207.56 |===================================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark Time
Seconds < Lower Is Better
a . 15.93 |====================================================================
n . 16.03 |====================================================================
c . 15.95 |====================================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test Time
Seconds < Lower Is Better
a . 14.05 |====================================================================
n . 13.18 |================================================================
c . 12.59 |=============================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 100 - Inner Join Test Time
Seconds < Lower Is Better
a . 14.09 |====================================================================
n . 13.71 |==================================================================
c . 13.41 |=================================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 100 - Repartition Test Time
Seconds < Lower Is Better
a . 13.07 |====================================================================
n . 11.79 |=============================================================
c . 11.63 |=============================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 100 - Group By Test Time
Seconds < Lower Is Better
a . 8.01 |=================================================================
n . 8.39 |====================================================================
c . 8.48 |=====================================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe
Seconds < Lower Is Better
a . 11.84 |===================================================================
n . 12.02 |====================================================================
c . 11.80 |===================================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark
Seconds < Lower Is Better
a . 207.56 |===================================================================
n . 208.17 |===================================================================
c . 208.62 |===================================================================
Apache Spark 3.3
Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Time
Seconds < Lower Is Better
a . 15.51 |====================================================================
n . 15.41 |====================================================================
c . 15.16 |==================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Time
Seconds < Lower Is Better
a . 2.74 |===================================================================
n . 2.81 |=====================================================================
c . 2.71 |===================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 2000 - Inner Join Test Time
Seconds < Lower Is Better
a . 3.349109111 |===========================================================
n . 3.500000000 |==============================================================
c . 3.490000000 |==============================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 2000 - Repartition Test Time
Seconds < Lower Is Better
a . 3.595425861 |=============================================================
n . 3.600000000 |=============================================================
c . 3.650000000 |==============================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 2000 - Group By Test Time
Seconds < Lower Is Better
a . 5.17 |===================================================================
n . 5.29 |=====================================================================
c . 5.07 |==================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe
Seconds < Lower Is Better
a . 12.00 |================================================================
n . 12.70 |====================================================================
c . 11.89 |================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark
Seconds < Lower Is Better
a . 206.58 |=================================================================
n . 213.35 |===================================================================
c . 207.73 |=================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Time
Seconds < Lower Is Better
a . 4.79 |==================================================================
n . 4.99 |=====================================================================
c . 4.96 |=====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test Time
Seconds < Lower Is Better
a . 2.37 |=====================================================================
n . 2.24 |=================================================================
c . 2.22 |=================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 1000 - Inner Join Test Time
Seconds < Lower Is Better
a . 2.82 |====================================================================
n . 2.87 |=====================================================================
c . 2.81 |====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 1000 - Repartition Test Time
Seconds < Lower Is Better
a . 3.32 |====================================================================
n . 3.39 |=====================================================================
c . 3.36 |====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 1000 - Group By Test Time
Seconds < Lower Is Better
a . 4.61 |===================================================================
n . 4.75 |=====================================================================
c . 4.58 |===================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe
Seconds < Lower Is Better
a . 11.97 |====================================================================
n . 12.02 |====================================================================
c . 11.87 |===================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark
Seconds < Lower Is Better
a . 207.48 |===================================================================
n . 208.49 |===================================================================
c . 208.24 |===================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Time
Seconds < Lower Is Better
a . 4.56 |=====================================================================
n . 4.39 |==================================================================
c . 4.36 |==================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time
Seconds < Lower Is Better
a . 1.98 |=====================================================================
n . 1.93 |===================================================================
c . 1.95 |====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 500 - Inner Join Test Time
Seconds < Lower Is Better
a . 2.48 |=====================================================================
n . 2.32 |=================================================================
c . 2.40 |===================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 500 - Repartition Test Time
Seconds < Lower Is Better
a . 3.03 |================================================================
n . 3.06 |================================================================
c . 3.28 |=====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 500 - Group By Test Time
Seconds < Lower Is Better
a . 3.95 |=====================================================================
n . 3.74 |=================================================================
c . 3.89 |====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe
Seconds < Lower Is Better
a . 11.94 |===================================================================
n . 12.10 |====================================================================
c . 12.04 |====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark
Seconds < Lower Is Better
a . 209.93 |===================================================================
n . 210.21 |===================================================================
c . 210.11 |===================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time
Seconds < Lower Is Better
a . 4.120000000 |============================================================
n . 4.155978363 |=============================================================
c . 4.240000000 |==============================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time
Seconds < Lower Is Better
a . 1.35 |====================================================================
n . 1.32 |===================================================================
c . 1.36 |=====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Inner Join Test Time
Seconds < Lower Is Better
a . 1.583333601 |=============================================================
n . 1.570000000 |=============================================================
c . 1.600000000 |==============================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Repartition Test Time
Seconds < Lower Is Better
a . 2.21 |===================================================================
n . 2.25 |=====================================================================
c . 2.26 |=====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Group By Test Time
Seconds < Lower Is Better
a . 3.60 |===================================================================
n . 3.65 |====================================================================
c . 3.72 |=====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe
Seconds < Lower Is Better
a . 11.91 |====================================================================
n . 11.90 |===================================================================
c . 11.99 |====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark
Seconds < Lower Is Better
a . 207.95 |===================================================================
n . 207.11 |===================================================================
c . 206.32 |==================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time
Seconds < Lower Is Better
a . 2.93 |================================================================
n . 3.03 |==================================================================
c . 3.17 |=====================================================================
Memcached 1.6.18
Set To Get Ratio: 1:100
Ops/sec > Higher Is Better
a . 1665301.70 |==============================================================
n . 1686349.51 |===============================================================
c . 1662246.52 |==============================================================
Memcached 1.6.18
Set To Get Ratio: 1:10
Ops/sec > Higher Is Better
a . 1742709.67 |===============================================================
n . 1739460.62 |===============================================================
c . 1750912.91 |===============================================================
Memcached 1.6.18
Set To Get Ratio: 1:1
Ops/sec > Higher Is Better
a . 1767830.19 |===============================================================
n . 1767278.13 |===============================================================
c . 1767103.07 |===============================================================
Memcached 1.6.18
Set To Get Ratio: 1:5
Ops/sec > Higher Is Better
a . 1869070.00 |===============================================================
n . 1781728.27 |============================================================
c . 1823583.08 |=============================================================
Neural Magic DeepSparse 1.3.2
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 1102.50 |==============================================================
n . 1137.90 |================================================================
c . 1169.90 |==================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 6.3049 |===================================================================
n . 6.1199 |=================================================================
c . 5.7934 |==============================================================
Neural Magic DeepSparse 1.3.2
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 19.78 |==========================================================
n . 22.90 |====================================================================
c . 23.01 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 50.53 |====================================================================
n . 43.66 |===========================================================
c . 43.45 |==========================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 351.50 |===============================================================
n . 374.06 |===================================================================
c . 367.85 |==================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 19.78 |====================================================================
n . 18.60 |================================================================
c . 18.83 |=================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 1534.45 |==================================================================
n . 1508.55 |=================================================================
c . 1520.54 |=================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 4.5104 |==================================================================
n . 4.5519 |===================================================================
c . 4.5475 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 1545.76 |==================================================================
n . 1523.22 |=================================================================
c . 1529.39 |=================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 4.5054 |===================================================================
n . 4.4135 |==================================================================
c . 4.4061 |==================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 365.11 |===================================================================
n . 357.48 |==================================================================
c . 361.73 |==================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 19.02 |==================================================================
n . 19.52 |====================================================================
c . 19.18 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 104.10 |===================================================================
n . 104.53 |===================================================================
c . 104.02 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 67.19 |====================================================================
n . 66.91 |====================================================================
c . 67.14 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 174.84 |===================================================================
n . 175.73 |===================================================================
c . 174.58 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 5.7188 |===================================================================
n . 5.6899 |===================================================================
c . 5.7275 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 237.73 |===================================================================
n . 235.82 |==================================================================
c . 238.76 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 4.2064 |==================================================================
n . 4.2403 |===================================================================
c . 4.1882 |==================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 240.13 |===================================================================
n . 239.68 |===================================================================
c . 239.17 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 4.1644 |===================================================================
n . 4.1721 |===================================================================
c . 4.1810 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 160.84 |===============================================================
n . 170.19 |===================================================================
c . 171.25 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 43.45 |====================================================================
n . 41.00 |================================================================
c . 40.82 |================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 61.89 |====================================================================
n . 61.59 |====================================================================
c . 61.74 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 16.16 |====================================================================
n . 16.24 |====================================================================
c . 16.20 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 67.41 |===================================================================
n . 67.93 |====================================================================
c . 67.25 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 14.83 |====================================================================
n . 14.72 |===================================================================
c . 14.87 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 22.67 |====================================================================
n . 22.56 |====================================================================
c . 22.59 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 44.09 |====================================================================
n . 44.31 |====================================================================
c . 44.24 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 103.93 |=============================================================
n . 114.78 |===================================================================
c . 112.44 |==================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 67.19 |====================================================================
n . 60.93 |==============================================================
c . 62.17 |===============================================================
Neural Magic DeepSparse 1.3.2
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 248.43 |===================================================================
n . 244.89 |==================================================================
c . 247.38 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 28.03 |===================================================================
n . 28.42 |====================================================================
c . 28.17 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 29.98 |====================================================================
n . 30.17 |====================================================================
c . 30.10 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 33.35 |====================================================================
n . 33.13 |====================================================================
c . 33.22 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 42.62 |===================================================================
n . 43.11 |====================================================================
c . 43.08 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 23.45 |====================================================================
n . 23.19 |===================================================================
c . 23.20 |===================================================================