Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and llvmpipe 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 2302062-PTS-10980XEF17
10980xe feb 2023
Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and llvmpipe on Ubuntu 22.04 via the Phoronix Test Suite.
a:
Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211
OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3, OpenGL: 4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits), Vulkan: 1.2.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1024x768
b:
Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211
OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3, OpenGL: 4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits), Vulkan: 1.2.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1024x768
c:
Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211
OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3, OpenGL: 4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits), Vulkan: 1.2.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1024x768
VVenC 1.7
Video Input: Bosphorus 4K - Video Preset: Fast
Frames Per Second > Higher Is Better
a . 2.907 |====================================================================
b . 2.914 |====================================================================
c . 2.914 |====================================================================
VVenC 1.7
Video Input: Bosphorus 4K - Video Preset: Faster
Frames Per Second > Higher Is Better
a . 6.701 |====================================================================
b . 6.669 |====================================================================
c . 6.687 |====================================================================
VVenC 1.7
Video Input: Bosphorus 1080p - Video Preset: Fast
Frames Per Second > Higher Is Better
a . 5.972 |====================================================================
b . 5.952 |====================================================================
c . 5.955 |====================================================================
VVenC 1.7
Video Input: Bosphorus 1080p - Video Preset: Faster
Frames Per Second > Higher Is Better
a . 12.92 |===================================================================
b . 13.03 |====================================================================
c . 12.90 |===================================================================
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 . 12.09 |====================================================================
b . 12.08 |====================================================================
c . 12.11 |====================================================================
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 . 11.31 |===================================================================
b . 11.46 |====================================================================
c . 11.40 |====================================================================
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 . 231.59 |==================================================================
b . 232.89 |===================================================================
c . 233.97 |===================================================================
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 . 110.84 |=================================================================
b . 114.96 |===================================================================
c . 113.69 |==================================================================
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 . 53.02 |===================================================================
b . 53.47 |====================================================================
c . 53.05 |===================================================================
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 . 46.98 |===================================================================
b . 47.11 |====================================================================
c . 47.42 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 97.09 |====================================================================
b . 97.17 |====================================================================
c . 96.25 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 63.36 |====================================================================
b . 63.22 |====================================================================
c . 63.58 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 255.77 |===================================================================
b . 255.43 |===================================================================
c . 255.94 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 129.12 |==================================================================
b . 127.43 |=================================================================
c . 131.63 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 124.70 |==================================================================
b . 127.20 |===================================================================
c . 121.97 |================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 71.98 |===============================================================
b . 78.09 |====================================================================
c . 75.75 |==================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 22.94 |====================================================================
b . 22.55 |===================================================================
c . 22.57 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 22.70 |====================================================================
b . 22.66 |====================================================================
c . 22.37 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 63.65 |===================================================================
b . 63.42 |===================================================================
c . 64.40 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 41.29 |===================================================================
b . 39.60 |================================================================
c . 41.86 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 12.36 |====================================================================
b . 12.35 |====================================================================
c . 12.32 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 11.45 |====================================================================
b . 11.23 |===================================================================
c . 11.27 |===================================================================
RocksDB 7.9.2
Test: Random Fill
Op/s > Higher Is Better
a . 1145133 |=================================================================
b . 1157063 |==================================================================
c . 1146614 |=================================================================
RocksDB 7.9.2
Test: Random Read
Op/s > Higher Is Better
a . 80437935 |================================================================
b . 81639198 |=================================================================
c . 82098045 |=================================================================
RocksDB 7.9.2
Test: Update Random
Op/s > Higher Is Better
a . 656969 |===================================================================
b . 659313 |===================================================================
c . 661009 |===================================================================
RocksDB 7.9.2
Test: Sequential Fill
Op/s > Higher Is Better
a . 1315521 |==================================================================
b . 1316396 |==================================================================
c . 1319647 |==================================================================
RocksDB 7.9.2
Test: Random Fill Sync
Op/s > Higher Is Better
a . 4683 |=====================================================================
b . 4712 |=====================================================================
c . 4555 |===================================================================
RocksDB 7.9.2
Test: Read While Writing
Op/s > Higher Is Better
a . 3303735 |================================================================
b . 3409823 |==================================================================
c . 3306782 |================================================================
RocksDB 7.9.2
Test: Read Random Write Random
Op/s > Higher Is Better
a . 2250910 |==================================================================
b . 2254812 |==================================================================
c . 2254824 |==================================================================
ClickHouse 22.12.3.5
100M Rows Hits Dataset, First Run / Cold Cache
Queries Per Minute, Geo Mean > Higher Is Better
a . 135.54 |==================================================================
a . 135.53 |==================================================================
b . 138.39 |===================================================================
c . 133.40 |=================================================================
ClickHouse 22.12.3.5
100M Rows Hits Dataset, Second Run
Queries Per Minute, Geo Mean > Higher Is Better
a . 153.43 |===================================================================
a . 146.03 |================================================================
b . 147.01 |================================================================
c . 146.37 |================================================================
ClickHouse 22.12.3.5
100M Rows Hits Dataset, Third Run
Queries Per Minute, Geo Mean > Higher Is Better
a . 142.36 |===============================================================
a . 150.79 |===================================================================
b . 151.09 |===================================================================
c . 148.49 |==================================================================
KeyDB 6.3.2
Test: GET - Parallel Connections: 50
Requests Per Second > Higher Is Better
a . 1523461.38 |===============================================================
KeyDB 6.3.2
Test: SET - Parallel Connections: 50
Requests Per Second > Higher Is Better
a . 1275412.62 |===============================================================
KeyDB 6.3.2
Test: GET - Parallel Connections: 100
Requests Per Second > Higher Is Better
a . 1152047.12 |===============================================================
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 . 744.49 |===================================================================
b . 744.69 |===================================================================
c . 743.39 |===================================================================
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 . 88.37 |====================================================================
b . 87.24 |===================================================================
c . 87.69 |===================================================================
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 . 38.82 |====================================================================
b . 38.62 |====================================================================
c . 38.44 |===================================================================
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 . 9.0133 |===================================================================
b . 8.6891 |=================================================================
c . 8.7863 |=================================================================
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 . 169.70 |===================================================================
b . 168.17 |==================================================================
c . 169.63 |===================================================================
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 . 21.27 |====================================================================
b . 21.22 |====================================================================
c . 21.08 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 92.60 |===================================================================
b . 92.52 |===================================================================
c . 93.42 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 15.77 |====================================================================
b . 15.80 |====================================================================
c . 15.71 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 35.16 |====================================================================
b . 35.21 |====================================================================
c . 35.14 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 7.7325 |==================================================================
b . 7.8358 |===================================================================
c . 7.5867 |=================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 72.15 |===================================================================
b . 70.74 |=================================================================
c . 73.77 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 13.88 |====================================================================
b . 12.80 |===============================================================
c . 13.19 |=================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 392.29 |==================================================================
b . 399.09 |===================================================================
c . 398.72 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 44.04 |===================================================================
b . 44.10 |===================================================================
c . 44.68 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 141.38 |===================================================================
b . 141.90 |===================================================================
c . 139.72 |==================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 24.21 |=================================================================
b . 25.24 |====================================================================
c . 23.88 |================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 728.03 |===================================================================
b . 728.86 |===================================================================
c . 730.38 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 87.30 |===================================================================
b . 89.00 |====================================================================
c . 88.74 |====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time
Seconds < Lower Is Better
a . 3.560000000 |===========================================================
a . 3.610000000 |============================================================
b . 3.710000000 |==============================================================
c . 3.543322427 |===========================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark
Seconds < Lower Is Better
a . 103.63 |===================================================================
a . 103.23 |===================================================================
b . 103.20 |===================================================================
c . 103.59 |===================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe
Seconds < Lower Is Better
a . 5.92 |=====================================================================
a . 5.88 |====================================================================
b . 5.91 |=====================================================================
c . 5.93 |=====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Group By Test Time
Seconds < Lower Is Better
a . 4.37 |=================================================================
a . 4.62 |=====================================================================
b . 4.47 |===================================================================
c . 4.38 |=================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Repartition Test Time
Seconds < Lower Is Better
a . 1.95 |====================================================================
a . 1.98 |=====================================================================
b . 1.98 |=====================================================================
c . 1.97 |=====================================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Inner Join Test Time
Seconds < Lower Is Better
a . 1.560000000 |==============================================================
a . 1.467346253 |==========================================================
b . 1.530000000 |=============================================================
c . 1.540000000 |=============================================================
Apache Spark 3.3
Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time
Seconds < Lower Is Better
a . 1.57 |=====================================================================
a . 1.27 |========================================================
b . 1.36 |============================================================
c . 1.35 |===========================================================