2 x AMD EPYC 9684X 96-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2312241-NE-EPS60637430
eps
2 x AMD EPYC 9684X 96-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite.
a:
Processor: 2 x AMD EPYC 9684X 96-Core @ 2.55GHz (192 Cores / 384 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 1520GB, Disk: 3201GB Micron_7450_MTFDKCB3T2TFS, Graphics: ASPEED, Network: Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.5.0-13-generic (x86_64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 800x600
b:
Processor: 2 x AMD EPYC 9684X 96-Core @ 2.55GHz (192 Cores / 384 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 1520GB, Disk: 3201GB Micron_7450_MTFDKCB3T2TFS, Graphics: ASPEED, Network: Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.5.0-13-generic (x86_64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 800x600
PyTorch 2.1
Device: CPU - Batch Size: 256 - Model: ResNet-152
batches/sec > Higher Is Better
a . 8.96 |================================================================
b . 9.65 |=====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 6.40 |==================================================================
b . 6.74 |=====================================================================
SVT-AV1 1.8
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 176.67 |================================================================
b . 184.35 |===================================================================
SVT-AV1 1.8
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 178.91 |================================================================
b . 186.61 |===================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 100, Compression Effort 5
MP/s > Higher Is Better
a . 6.51 |=====================================================================
b . 6.28 |===================================================================
PyTorch 2.1
Device: CPU - Batch Size: 256 - Model: ResNet-50
batches/sec > Higher Is Better
a . 21.29 |====================================================================
b . 20.60 |==================================================================
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: ResNet-152
batches/sec > Higher Is Better
a . 10.16 |==================================================================
b . 10.43 |====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: ResNet-50
batches/sec > Higher Is Better
a . 23.57 |====================================================================
b . 23.12 |===================================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
batches/sec > Higher Is Better
a . 21.16 |===================================================================
b . 21.57 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Geometric Mean Of All Queries
Seconds < Lower Is Better
a . 2.44964916 |==============================================================
b . 2.49517747 |===============================================================
PyTorch 2.1
Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 2.32 |=====================================================================
b . 2.28 |====================================================================
WebP2 Image Encode 20220823
Encode Settings: Default
MP/s > Higher Is Better
a . 9.48 |====================================================================
b . 9.63 |=====================================================================
SVT-AV1 1.8
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 165.10 |===================================================================
b . 162.56 |==================================================================
Neural Magic DeepSparse 1.6
Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 4.7637 |==================================================================
b . 4.8290 |===================================================================
Neural Magic DeepSparse 1.6
Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 209.80 |===================================================================
b . 206.97 |==================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 75, Compression Effort 7
MP/s > Higher Is Better
a . 0.83 |=====================================================================
b . 0.82 |====================================================================
Xmrig 6.21
Variant: CryptoNight-Femto UPX2 - Hash Count: 1M
H/s > Higher Is Better
a . 123199.0 |=================================================================
b . 122070.3 |================================================================
PyTorch 2.1
Device: CPU - Batch Size: 32 - Model: ResNet-152
batches/sec > Higher Is Better
a . 8.90 |====================================================================
b . 8.98 |=====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 2.32 |====================================================================
b . 2.34 |=====================================================================
Java SciMark 2.2
Computational Test: Sparse Matrix Multiply
Mflops > Higher Is Better
a . 2809.01 |==================================================================
b . 2792.09 |==================================================================
Xmrig 6.21
Variant: CryptoNight-Heavy - Hash Count: 1M
H/s > Higher Is Better
a . 123041.6 |=================================================================
b . 123777.7 |=================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Geometric Mean Of All Queries
Seconds < Lower Is Better
a . 10.72 |====================================================================
b . 10.66 |====================================================================
Java SciMark 2.2
Computational Test: Dense LU Matrix Factorization
Mflops > Higher Is Better
a . 13358.53 |=================================================================
b . 13434.09 |=================================================================
SVT-AV1 1.8
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 21.42 |====================================================================
b . 21.31 |====================================================================
Neural Magic DeepSparse 1.6
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 4.8022 |===================================================================
b . 4.7775 |===================================================================
Neural Magic DeepSparse 1.6
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 208.12 |===================================================================
b . 209.20 |===================================================================
SVT-AV1 1.8
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 635.81 |===================================================================
b . 639.09 |===================================================================
SVT-AV1 1.8
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 8.248 |====================================================================
b . 8.208 |====================================================================
SVT-AV1 1.8
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 86.43 |====================================================================
b . 86.84 |====================================================================
Neural Magic DeepSparse 1.6
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 2608.01 |==================================================================
b . 2596.10 |==================================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: ResNet-152
batches/sec > Higher Is Better
a . 8.93 |=====================================================================
b . 8.97 |=====================================================================
Neural Magic DeepSparse 1.6
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 36.75 |====================================================================
b . 36.91 |====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 32 - Model: ResNet-50
batches/sec > Higher Is Better
a . 21.00 |====================================================================
b . 21.09 |====================================================================
Xmrig 6.21
Variant: GhostRider - Hash Count: 1M
H/s > Higher Is Better
a . 31859.7 |==================================================================
b . 31728.9 |==================================================================
Neural Magic DeepSparse 1.6
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 248.58 |===================================================================
b . 249.50 |===================================================================
Neural Magic DeepSparse 1.6
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 224.58 |===================================================================
b . 225.40 |===================================================================
Neural Magic DeepSparse 1.6
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 4.4503 |===================================================================
b . 4.4341 |===================================================================
Neural Magic DeepSparse 1.6
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 5.5955 |===================================================================
b . 5.6159 |===================================================================
Xmrig 6.21
Variant: Wownero - Hash Count: 1M
H/s > Higher Is Better
a . 131141.9 |=================================================================
b . 131613.6 |=================================================================
Neural Magic DeepSparse 1.6
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 715.04 |===================================================================
b . 717.59 |===================================================================
Neural Magic DeepSparse 1.6
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 17108.46 |=================================================================
b . 17047.64 |=================================================================
Neural Magic DeepSparse 1.6
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 122.03 |===================================================================
b . 121.61 |===================================================================
SVT-AV1 1.8
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 571.88 |===================================================================
b . 569.96 |===================================================================
Neural Magic DeepSparse 1.6
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 48.49 |====================================================================
b . 48.33 |====================================================================
Neural Magic DeepSparse 1.6
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 20.62 |====================================================================
b . 20.68 |====================================================================
Xmrig 6.21
Variant: Monero - Hash Count: 1M
H/s > Higher Is Better
a . 123352.8 |=================================================================
b . 122971.0 |=================================================================
Neural Magic DeepSparse 1.6
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 15.32 |====================================================================
b . 15.37 |====================================================================
Neural Magic DeepSparse 1.6
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 65.21 |====================================================================
b . 65.01 |====================================================================
Java SciMark 2.2
Computational Test: Composite
Mflops > Higher Is Better
a . 3984.62 |==================================================================
b . 3996.76 |==================================================================
Neural Magic DeepSparse 1.6
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 784.52 |===================================================================
b . 786.89 |===================================================================
Neural Magic DeepSparse 1.6
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 132.66 |===================================================================
b . 132.27 |===================================================================
Neural Magic DeepSparse 1.6
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 132.05 |===================================================================
b . 132.42 |===================================================================
Java SciMark 2.2
Computational Test: Fast Fourier Transform
Mflops > Higher Is Better
a . 420.74 |===================================================================
b . 421.91 |===================================================================
Neural Magic DeepSparse 1.6
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 48.45 |====================================================================
b . 48.33 |====================================================================
Neural Magic DeepSparse 1.6
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 20.63 |====================================================================
b . 20.69 |====================================================================
OpenSSL
Algorithm: SHA512
byte/s > Higher Is Better
a . 91630925473 |==============================================================
b . 91835961470 |==============================================================
Neural Magic DeepSparse 1.6
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 719.28 |===================================================================
b . 717.98 |===================================================================
Neural Magic DeepSparse 1.6
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 796.07 |===================================================================
b . 797.41 |===================================================================
Neural Magic DeepSparse 1.6
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 383.20 |===================================================================
b . 382.56 |===================================================================
Neural Magic DeepSparse 1.6
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 190.80 |===================================================================
b . 191.10 |===================================================================
Neural Magic DeepSparse 1.6
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 5.2377 |===================================================================
b . 5.2296 |===================================================================
Neural Magic DeepSparse 1.6
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 120.21 |===================================================================
b . 120.04 |===================================================================
Neural Magic DeepSparse 1.6
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 54.41 |====================================================================
b . 54.49 |====================================================================
Neural Magic DeepSparse 1.6
Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 32.02 |====================================================================
b . 31.98 |====================================================================
Neural Magic DeepSparse 1.6
Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 31.22 |====================================================================
b . 31.26 |====================================================================
Neural Magic DeepSparse 1.6
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 1761.40 |==================================================================
b . 1759.07 |==================================================================
OpenSSL
Algorithm: SHA256
byte/s > Higher Is Better
a . 281869895760 |=============================================================
b . 282211175400 |=============================================================
Xmrig 6.21
Variant: KawPow - Hash Count: 1M
H/s > Higher Is Better
a . 123558.6 |=================================================================
b . 123411.1 |=================================================================
Apache Spark TPC-H 3.5
Scale Factor: 50 - Geometric Mean Of All Queries
Seconds < Lower Is Better
a . 19.59 |====================================================================
b . 19.56 |====================================================================
Neural Magic DeepSparse 1.6
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 1758.59 |==================================================================
b . 1756.56 |==================================================================
OpenSSL
Algorithm: RSA4096
sign/s > Higher Is Better
a . 98622.0 |==================================================================
b . 98528.8 |==================================================================
Neural Magic DeepSparse 1.6
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 54.51 |====================================================================
b . 54.55 |====================================================================
Neural Magic DeepSparse 1.6
Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 1.2413 |===================================================================
b . 1.2404 |===================================================================
Neural Magic DeepSparse 1.6
Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 804.18 |===================================================================
b . 804.75 |===================================================================
Java SciMark 2.2
Computational Test: Monte Carlo
Mflops > Higher Is Better
a . 1631.42 |==================================================================
b . 1632.45 |==================================================================
OpenSSL
Algorithm: RSA4096
verify/s > Higher Is Better
a . 3244390.3 |================================================================
b . 3243345.2 |================================================================
Neural Magic DeepSparse 1.6
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 4.7126 |===================================================================
b . 4.7117 |===================================================================
Neural Magic DeepSparse 1.6
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 4.7188 |===================================================================
b . 4.7180 |===================================================================
Neural Magic DeepSparse 1.6
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 212.10 |===================================================================
b . 212.13 |===================================================================
Neural Magic DeepSparse 1.6
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 211.74 |===================================================================
b . 211.77 |===================================================================
Java SciMark 2.2
Computational Test: Jacobi Successive Over-Relaxation
Mflops > Higher Is Better
a . 1703.42 |==================================================================
b . 1703.25 |==================================================================
Neural Magic DeepSparse 1.6
Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 156.42 |===================================================================
b . 156.43 |===================================================================
Neural Magic DeepSparse 1.6
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 1136.71 |==================================================================
b . 1136.64 |==================================================================
Neural Magic DeepSparse 1.6
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 84.25 |====================================================================
b . 84.25 |====================================================================
Neural Magic DeepSparse 1.6
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 68.27 |====================================================================
b . 68.26 |====================================================================
Neural Magic DeepSparse 1.6
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 14.64 |====================================================================
b . 14.64 |====================================================================
Neural Magic DeepSparse 1.6
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 17.30 |====================================================================
b . 17.30 |====================================================================
Neural Magic DeepSparse 1.6
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 5540.63 |==================================================================
b . 5540.52 |==================================================================
Neural Magic DeepSparse 1.6
Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 607.57 |===================================================================
b . 607.57 |===================================================================
PyTorch 2.1
Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 2.32 |=====================================================================
b . 2.32 |=====================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 100, Lossless Compression
MP/s > Higher Is Better
a . 0.11 |=====================================================================
b . 0.11 |=====================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 95, Compression Effort 7
MP/s > Higher Is Better
a . 0.45 |=====================================================================
b . 0.45 |=====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 50 - Q22
Seconds < Lower Is Better
a . 10.69 |===================================================================
b . 10.87 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 50 - Q21
Seconds < Lower Is Better
a . 87.90 |====================================================================
b . 77.71 |============================================================
Apache Spark TPC-H 3.5
Scale Factor: 50 - Q20
Seconds < Lower Is Better
a . 20.80 |===================================================================
b . 21.05 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 50 - Q19
Seconds < Lower Is Better
a . 10.45 |===========================================================
b . 12.09 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 50 - Q18
Seconds < Lower Is Better
a . 34.51 |====================================================================
b . 33.74 |==================================================================
Apache Spark TPC-H 3.5
Scale Factor: 50 - Q17
Seconds < Lower Is Better
a . 24.31 |===================================================================
b . 24.56 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 50 - Q16
Seconds < Lower Is Better
a . 14.22 |=================================================================
b . 14.98 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 50 - Q15
Seconds < Lower Is Better
a . 9.77733866 |===============================================================
b . 9.48287773 |=============================================================
Apache Spark TPC-H 3.5
Scale Factor: 50 - Q14
Seconds < Lower Is Better
a . 12.70 |====================================================================
b . 12.57 |===================================================================
Apache Spark TPC-H 3.5
Scale Factor: 50 - Q13
Seconds < Lower Is Better
a . 12.76 |===================================================================
b . 13.04 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 50 - Q12
Seconds < Lower Is Better
a . 19.41 |====================================================================
b . 17.70 |==============================================================
Apache Spark TPC-H 3.5
Scale Factor: 50 - Q11
Seconds < Lower Is Better
a . 13.58 |====================================================================
b . 13.31 |===================================================================
Apache Spark TPC-H 3.5
Scale Factor: 50 - Q10
Seconds < Lower Is Better
a . 24.36 |===================================================================
b . 24.69 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 50 - Q09
Seconds < Lower Is Better
a . 36.66 |====================================================================
b . 36.67 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 50 - Q08
Seconds < Lower Is Better
a . 26.74 |====================================================================
b . 26.63 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 50 - Q07
Seconds < Lower Is Better
a . 24.86 |=================================================================
b . 25.86 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 50 - Q06
Seconds < Lower Is Better
a . 5.90309207 |===============================================================
b . 5.88382483 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 50 - Q05
Seconds < Lower Is Better
a . 29.84 |=================================================================
b . 31.20 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 50 - Q04
Seconds < Lower Is Better
a . 21.00 |=================================================================
b . 21.82 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 50 - Q03
Seconds < Lower Is Better
a . 26.19 |============================================================
b . 29.69 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 50 - Q02
Seconds < Lower Is Better
a . 14.25 |===================================================================
b . 14.53 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 50 - Q01
Seconds < Lower Is Better
a . 12.01 |===============================================================
b . 12.87 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q22
Seconds < Lower Is Better
a . 6.05411895 |===============================================================
b . 6.04430914 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q21
Seconds < Lower Is Better
a . 32.91 |====================================================================
b . 32.70 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q20
Seconds < Lower Is Better
a . 11.44 |===================================================================
b . 11.54 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q19
Seconds < Lower Is Better
a . 6.20677837 |===============================================================
b . 6.06041670 |==============================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q18
Seconds < Lower Is Better
a . 18.47 |====================================================================
b . 17.31 |================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q17
Seconds < Lower Is Better
a . 12.77 |===================================================================
b . 13.01 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q16
Seconds < Lower Is Better
a . 6.87131294 |==============================================================
b . 6.95270681 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q15
Seconds < Lower Is Better
a . 5.84138076 |===============================================================
b . 5.43870592 |===========================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q14
Seconds < Lower Is Better
a . 7.07622369 |===============================================================
b . 6.90602303 |=============================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q13
Seconds < Lower Is Better
a . 7.37728373 |===========================================================
b . 7.94083786 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q12
Seconds < Lower Is Better
a . 9.94400438 |=============================================================
b . 10.03829002 |==============================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q11
Seconds < Lower Is Better
a . 8.00292349 |=============================================================
b . 8.27814293 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q10
Seconds < Lower Is Better
a . 15.17 |====================================================================
b . 14.78 |==================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q09
Seconds < Lower Is Better
a . 21.91 |==================================================================
b . 22.53 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q08
Seconds < Lower Is Better
a . 15.52 |====================================================================
b . 14.56 |================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q07
Seconds < Lower Is Better
a . 14.65 |===================================================================
b . 14.90 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q06
Seconds < Lower Is Better
a . 2.05104745 |===============================================================
b . 1.85595930 |=========================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q05
Seconds < Lower Is Better
a . 16.44 |===========================================================
b . 18.86 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q04
Seconds < Lower Is Better
a . 12.35 |====================================================================
b . 11.26 |==============================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q03
Seconds < Lower Is Better
a . 13.97 |==================================================================
b . 14.29 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q02
Seconds < Lower Is Better
a . 7.43104283 |===============================================================
b . 7.39245987 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q01
Seconds < Lower Is Better
a . 7.58889151 |===============================================================
b . 7.28826714 |=============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q22
Seconds < Lower Is Better
a . 1.00769047 |============================================================
b . 1.06679213 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q21
Seconds < Lower Is Better
a . 9.64531231 |===============================================================
b . 9.55909538 |==============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q20
Seconds < Lower Is Better
a . 3.05739617 |===============================================================
b . 3.05001688 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q19
Seconds < Lower Is Better
a . 0.79092395 |==========================================================
b . 0.85797596 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q18
Seconds < Lower Is Better
a . 5.62853845 |===============================================================
b . 5.13171148 |=========================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q17
Seconds < Lower Is Better
a . 2.95993924 |===============================================================
b . 2.88348198 |=============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q16
Seconds < Lower Is Better
a . 1.38147259 |=========================================================
b . 1.51779914 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q15
Seconds < Lower Is Better
a . 2.50185966 |=============================================================
b . 2.58714175 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q14
Seconds < Lower Is Better
a . 2.06485331 |===========================================================
b . 2.21146965 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q13
Seconds < Lower Is Better
a . 1.58815936 |=========================================================
b . 1.74074161 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q12
Seconds < Lower Is Better
a . 2.17542648 |============================================================
b . 2.26641607 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q11
Seconds < Lower Is Better
a . 1.27338135 |===============================================================
b . 1.13998687 |========================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q10
Seconds < Lower Is Better
a . 3.81359665 |===============================================================
b . 3.81245542 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q09
Seconds < Lower Is Better
a . 5.70969407 |=============================================================
b . 5.89775848 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q08
Seconds < Lower Is Better
a . 2.65584644 |===============================================================
b . 2.60907817 |==============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q07
Seconds < Lower Is Better
a . 4.01044806 |===============================================================
b . 3.87790275 |=============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q06
Seconds < Lower Is Better
a . 0.46822915 |===============================================================
b . 0.35801557 |================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q05
Seconds < Lower Is Better
a . 4.13122161 |===============================================================
b . 3.69217634 |========================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q04
Seconds < Lower Is Better
a . 3.92525745 |===============================================================
b . 3.75427246 |============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q03
Seconds < Lower Is Better
a . 3.86442184 |===============================================================
b . 3.86610818 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q02
Seconds < Lower Is Better
a . 2.06179071 |==============================================================
b . 2.08224201 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q01
Seconds < Lower Is Better
a . 4.32006081 |=============================================================
b . 4.44657946 |===============================================================
OpenSSL
Algorithm: ChaCha20-Poly1305
OpenSSL
Algorithm: AES-256-GCM
OpenSSL
Algorithm: AES-128-GCM
OpenSSL
Algorithm: ChaCha20
LeelaChessZero 0.30
Backend: Eigen
Nodes Per Second > Higher Is Better
a . 704 |=====================================================================
b . 715 |======================================================================
LeelaChessZero 0.30
Backend: BLAS
Nodes Per Second > Higher Is Better
a . 853 |=====================================================================
b . 871 |======================================================================