Tests for a future article. Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus ICL GT2 16GB on Ubuntu 23.04 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 2312172-NE-DFGG9428382
dfgg
Tests for a future article. Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus ICL GT2 16GB on Ubuntu 23.04 via the Phoronix Test Suite.
a:
Processor: Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: Dell 06CDVY (1.0.9 BIOS), Chipset: Intel Ice Lake-LP DRAM, Memory: 16GB, Disk: Toshiba KBG40ZPZ512G NVMe 512GB, Graphics: Intel Iris Plus ICL GT2 16GB (1100MHz), Audio: Realtek ALC289, Network: Intel Ice Lake-LP PCH CNVi WiFi
OS: Ubuntu 23.04, Kernel: 6.2.0-36-generic (x86_64), Desktop: GNOME Shell 44.3, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.0.4-0ubuntu1~23.04.1, OpenCL: OpenCL 3.0, Compiler: GCC 12.3.0, File-System: ext4, Screen Resolution: 1920x1200
b:
Processor: Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: Dell 06CDVY (1.0.9 BIOS), Chipset: Intel Ice Lake-LP DRAM, Memory: 16GB, Disk: Toshiba KBG40ZPZ512G NVMe 512GB, Graphics: Intel Iris Plus ICL GT2 16GB (1100MHz), Audio: Realtek ALC289, Network: Intel Ice Lake-LP PCH CNVi WiFi
OS: Ubuntu 23.04, Kernel: 6.2.0-36-generic (x86_64), Desktop: GNOME Shell 44.3, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.0.4-0ubuntu1~23.04.1, OpenCL: OpenCL 3.0, Compiler: GCC 12.3.0, File-System: ext4, Screen Resolution: 1920x1200
Java SciMark 2.2
Computational Test: Composite
Mflops > Higher Is Better
a . 2605.95 |==================================================================
b . 2611.98 |==================================================================
Java SciMark 2.2
Computational Test: Monte Carlo
Mflops > Higher Is Better
a . 935.32 |===================================================================
b . 936.54 |===================================================================
Java SciMark 2.2
Computational Test: Fast Fourier Transform
Mflops > Higher Is Better
a . 518.57 |===================================================================
b . 516.53 |===================================================================
Java SciMark 2.2
Computational Test: Sparse Matrix Multiply
Mflops > Higher Is Better
a . 1999.02 |==================================================================
b . 1994.16 |==================================================================
Java SciMark 2.2
Computational Test: Dense LU Matrix Factorization
Mflops > Higher Is Better
a . 8173.69 |==================================================================
b . 8211.45 |==================================================================
Java SciMark 2.2
Computational Test: Jacobi Successive Over-Relaxation
Mflops > Higher Is Better
a . 1403.14 |==================================================================
b . 1401.22 |==================================================================
WebP2 Image Encode 20220823
Encode Settings: Default
MP/s > Higher Is Better
a . 2.60 |=====================================================================
b . 2.45 |=================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 75, Compression Effort 7
MP/s > Higher Is Better
a . 0.03 |=====================================================================
b . 0.03 |=====================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 95, Compression Effort 7
MP/s > Higher Is Better
a . 0.01 |=====================================================================
b . 0.01 |=====================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 100, Compression Effort 5
MP/s > Higher Is Better
a . 0.95 |=====================================================================
b . 0.95 |=====================================================================
OpenSSL
Algorithm: RSA4096
sign/s > Higher Is Better
a . 769.0 |====================================================================
b . 727.2 |================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 100, Lossless Compression
MP/s > Higher Is Better
Xmrig 6.21
Variant: KawPow - Hash Count: 1M
H/s > Higher Is Better
a . 1296.4 |=================================================================
b . 1333.9 |===================================================================
Xmrig 6.21
Variant: Monero - Hash Count: 1M
H/s > Higher Is Better
a . 1308.1 |===================================================================
b . 1290.3 |==================================================================
Xmrig 6.21
Variant: Wownero - Hash Count: 1M
H/s > Higher Is Better
a . 1573.6 |===================================================================
b . 1524.2 |=================================================================
Xmrig 6.21
Variant: GhostRider - Hash Count: 1M
H/s > Higher Is Better
a . 187.4 |====================================================================
b . 185.2 |===================================================================
Xmrig 6.21
Variant: CryptoNight-Heavy - Hash Count: 1M
H/s > Higher Is Better
a . 1298.8 |===================================================================
b . 1282.1 |==================================================================
Xmrig 6.21
Variant: CryptoNight-Femto UPX2 - Hash Count: 1M
H/s > Higher Is Better
a . 1302.3 |===================================================================
b . 1281.7 |==================================================================
LeelaChessZero 0.30
Backend: BLAS
Nodes Per Second > Higher Is Better
a . 32 |==================================================
b . 45 |=======================================================================
LeelaChessZero 0.30
Backend: Eigen
Nodes Per Second > Higher Is Better
a . 20 |===========================================================
b . 24 |=======================================================================
OpenSSL
Algorithm: AES-128-GCM
byte/s > Higher Is Better
a . 15202890820 |==============================================================
b . 15081739060 |==============================================================
Neural Magic DeepSparse 1.6
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 2.1073 |===================================================================
b . 1.9736 |===============================================================
Neural Magic DeepSparse 1.6
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 946.79 |==============================================================
b . 1010.44 |==================================================================
OpenSSL
Algorithm: ChaCha20-Poly1305
byte/s > Higher Is Better
a . 10536056700 |==============================================================
b . 9830306880 |==========================================================
Neural Magic DeepSparse 1.6
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 2.1503 |===================================================================
b . 2.0978 |=================================================================
OpenSSL
Algorithm: RSA4096
verify/s > Higher Is Better
a . 45019.3 |==================================================================
b . 43229.0 |===============================================================
OpenSSL
Algorithm: AES-256-GCM
byte/s > Higher Is Better
a . 13364107950 |==============================================================
b . 12548378350 |==========================================================
OpenSSL
Algorithm: ChaCha20
byte/s > Higher Is Better
a . 15375647270 |==============================================================
b . 14830093930 |============================================================
OpenSSL
Algorithm: SHA512
byte/s > Higher Is Better
a . 856037790 |================================================================
b . 813051380 |=============================================================
OpenSSL
Algorithm: SHA256
byte/s > Higher Is Better
a . 2139384230 |===============================================================
b . 2104039050 |==============================================================
Neural Magic DeepSparse 1.6
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 465.03 |=================================================================
b . 476.67 |===================================================================
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 . 84.71 |====================================================================
b . 83.38 |===================================================================
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 . 23.57 |===================================================================
b . 23.94 |====================================================================
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 . 76.32 |====================================================================
b . 75.06 |===================================================================
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 . 13.09 |===================================================================
b . 13.31 |====================================================================
Neural Magic DeepSparse 1.6
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 34.00 |====================================================================
b . 33.08 |==================================================================
Neural Magic DeepSparse 1.6
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 58.77 |==================================================================
b . 60.41 |====================================================================
Neural Magic DeepSparse 1.6
Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 33.34 |====================================================================
b . 32.51 |==================================================================
Neural Magic DeepSparse 1.6
Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 29.98 |==================================================================
b . 30.75 |====================================================================
Neural Magic DeepSparse 1.6
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 233.27 |===================================================================
b . 227.73 |=================================================================
Neural Magic DeepSparse 1.6
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 8.5472 |=================================================================
b . 8.7547 |===================================================================
Neural Magic DeepSparse 1.6
Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 209.81 |===================================================================
b . 194.45 |==============================================================
Neural Magic DeepSparse 1.6
Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 4.7530 |==============================================================
b . 5.1288 |===================================================================
Neural Magic DeepSparse 1.6
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 14.02 |====================================================================
b . 13.57 |==================================================================
Neural Magic DeepSparse 1.6
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 142.62 |=================================================================
b . 147.35 |===================================================================
Neural Magic DeepSparse 1.6
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 12.45 |====================================================================
b . 12.42 |====================================================================
Neural Magic DeepSparse 1.6
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 80.29 |====================================================================
b . 80.51 |====================================================================
Neural Magic DeepSparse 1.6
Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 2.7047 |===================================================================
b . 2.6521 |==================================================================
Neural Magic DeepSparse 1.6
Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 737.65 |==================================================================
b . 752.24 |===================================================================
Neural Magic DeepSparse 1.6
Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 2.6753 |===================================================================
b . 2.6391 |==================================================================
Neural Magic DeepSparse 1.6
Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 373.77 |==================================================================
b . 378.91 |===================================================================
Neural Magic DeepSparse 1.6
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 34.28 |====================================================================
b . 33.34 |==================================================================
Neural Magic DeepSparse 1.6
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 58.30 |==================================================================
b . 59.93 |====================================================================
Neural Magic DeepSparse 1.6
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 33.29 |====================================================================
b . 32.75 |===================================================================
Neural Magic DeepSparse 1.6
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 30.02 |===================================================================
b . 30.51 |====================================================================
Neural Magic DeepSparse 1.6
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 14.16 |====================================================================
b . 13.91 |===================================================================
Neural Magic DeepSparse 1.6
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 141.23 |==================================================================
b . 143.49 |===================================================================
Neural Magic DeepSparse 1.6
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 12.85 |====================================================================
b . 12.70 |===================================================================
Neural Magic DeepSparse 1.6
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 77.81 |===================================================================
b . 78.72 |====================================================================
Neural Magic DeepSparse 1.6
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 19.38 |====================================================================
b . 19.30 |====================================================================
Neural Magic DeepSparse 1.6
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 103.17 |===================================================================
b . 103.50 |===================================================================
Neural Magic DeepSparse 1.6
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 18.22 |====================================================================
b . 18.04 |===================================================================
Neural Magic DeepSparse 1.6
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 54.87 |===================================================================
b . 55.43 |====================================================================
Neural Magic DeepSparse 1.6
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 4.2078 |===================================================================
b . 4.1657 |==================================================================
Neural Magic DeepSparse 1.6
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 475.16 |==================================================================
b . 480.05 |===================================================================
Neural Magic DeepSparse 1.6
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 4.3550 |===================================================================
b . 4.2633 |==================================================================
Neural Magic DeepSparse 1.6
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 229.59 |==================================================================
b . 234.54 |===================================================================
Neural Magic DeepSparse 1.6
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 37.34 |====================================================================
b . 36.98 |===================================================================
Neural Magic DeepSparse 1.6
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 53.52 |===================================================================
b . 54.04 |====================================================================
Neural Magic DeepSparse 1.6
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 33.76 |====================================================================
b . 33.44 |===================================================================
Neural Magic DeepSparse 1.6
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 29.60 |===================================================================
b . 29.89 |====================================================================
Neural Magic DeepSparse 1.6
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 2.153 |====================================================================
b . 2.142 |====================================================================
Neural Magic DeepSparse 1.6
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 926.22 |===================================================================
b . 931.34 |===================================================================
Neural Magic DeepSparse 1.6
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 2.1502 |===================================================================
b . 2.1345 |===================================================================
Neural Magic DeepSparse 1.6
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 465.05 |===================================================================
b . 468.48 |===================================================================
SVT-AV1 1.8
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 0.892 |====================================================================
b . 0.858 |=================================================================
SVT-AV1 1.8
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 7.044 |====================================================================
b . 6.765 |=================================================================
SVT-AV1 1.8
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 31.31 |====================================================================
b . 28.23 |=============================================================
SVT-AV1 1.8
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 33.86 |====================================================================
b . 31.87 |================================================================
SVT-AV1 1.8
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 3.684 |====================================================================
b . 3.605 |===================================================================
SVT-AV1 1.8
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 26.04 |==================================================================
b . 26.97 |====================================================================
SVT-AV1 1.8
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 192.19 |===================================================================
b . 192.67 |===================================================================
SVT-AV1 1.8
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 254.96 |===================================================================
b . 256.08 |===================================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Geometric Mean Of All Queries
Seconds < Lower Is Better
a . 4.7325257 |===============================================================
b . 4.8087436 |================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Geometric Mean Of All Queries
Seconds < Lower Is Better
a . 41.82 |====================================================================
b . 41.34 |===================================================================
ScyllaDB 5.2.9
Test: Writes
Op/s > Higher Is Better
a . 27851 |====================================================================
b . 25475 |==============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q01
Seconds < Lower Is Better
a . 7.15123463 |===============================================================
b . 7.08784056 |==============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q02
Seconds < Lower Is Better
a . 3.88890910 |===============================================================
b . 3.41797328 |=======================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q03
Seconds < Lower Is Better
a . 6.39238787 |=========================================================
b . 7.07467794 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q04
Seconds < Lower Is Better
a . 6.71648932 |============================================================
b . 7.08578300 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q05
Seconds < Lower Is Better
a . 6.38540220 |=========================================================
b . 7.11330652 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q06
Seconds < Lower Is Better
a . 3.51144052 |===============================================================
b . 3.24464250 |==========================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q07
Seconds < Lower Is Better
a . 6.48225832 |===============================================================
b . 5.84497738 |=========================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q08
Seconds < Lower Is Better
a . 4.97744513 |==========================================================
b . 5.44389009 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q09
Seconds < Lower Is Better
a . 7.87298393 |=========================================================
b . 8.69179630 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q10
Seconds < Lower Is Better
a . 5.49699688 |==========================================================
b . 5.96171904 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q11
Seconds < Lower Is Better
a . 1.93730366 |============================================================
b . 2.02040172 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q12
Seconds < Lower Is Better
a . 5.02531958 |===============================================================
b . 4.83623695 |=============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q13
Seconds < Lower Is Better
a . 3.23068547 |===============================================================
b . 2.99688220 |==========================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q14
Seconds < Lower Is Better
a . 3.69340801 |===========================================================
b . 3.97235441 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q15
Seconds < Lower Is Better
a . 3.91055250 |===============================================================
b . 3.84038305 |==============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q16
Seconds < Lower Is Better
a . 1.72381175 |=====================================================
b . 2.04605532 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q17
Seconds < Lower Is Better
a . 8.40441418 |==============================================================
b . 8.57745552 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q18
Seconds < Lower Is Better
a . 10.34 |====================================================================
b . 10.20 |===================================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q19
Seconds < Lower Is Better
a . 4.04202414 |===============================================================
b . 3.57351255 |========================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q20
Seconds < Lower Is Better
a . 4.86529493 |============================================================
b . 5.14292622 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q21
Seconds < Lower Is Better
a . 20.62 |====================================================================
b . 20.04 |==================================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q22
Seconds < Lower Is Better
a . 2.24996281 |===============================================================
b . 2.04710698 |=========================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q01
Seconds < Lower Is Better
a . 41.61 |===============================================================
b . 44.68 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q02
Seconds < Lower Is Better
a . 12.79 |====================================================================
b . 12.19 |=================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q03
Seconds < Lower Is Better
a . 55.94 |====================================================================
b . 55.58 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q04
Seconds < Lower Is Better
a . 48.48 |====================================================================
b . 48.52 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q05
Seconds < Lower Is Better
a . 62.50 |================================================================
b . 66.50 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q06
Seconds < Lower Is Better
a . 36.56 |===================================================================
b . 37.06 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q07
Seconds < Lower Is Better
a . 54.83 |===================================================================
b . 55.61 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q08
Seconds < Lower Is Better
a . 62.19 |====================================================================
b . 60.07 |==================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q09
Seconds < Lower Is Better
a . 73.76 |====================================================================
b . 73.32 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q10
Seconds < Lower Is Better
a . 51.23 |====================================================================
b . 51.32 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q11
Seconds < Lower Is Better
a . 10.60 |==================================================================
b . 10.96 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q12
Seconds < Lower Is Better
a . 48.54 |====================================================================
b . 47.39 |==================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q13
Seconds < Lower Is Better
a . 20.44 |==================================================================
b . 21.21 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q14
Seconds < Lower Is Better
a . 38.60 |===================================================================
b . 38.96 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q15
Seconds < Lower Is Better
a . 37.03 |====================================================================
b . 35.77 |==================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q16
Seconds < Lower Is Better
a . 11.41 |===================================================================
b . 11.61 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q17
Seconds < Lower Is Better
a . 100.78 |===================================================================
b . 94.20 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q18
Seconds < Lower Is Better
a . 106.44 |===================================================================
b . 103.68 |=================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q19
Seconds < Lower Is Better
a . 39.19 |====================================================================
b . 38.37 |===================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q20
Seconds < Lower Is Better
a . 49.49 |====================================================================
b . 47.05 |=================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q21
Seconds < Lower Is Better
a . 196.26 |===================================================================
b . 189.40 |=================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q22
Seconds < Lower Is Better
a . 12.72 |==================================================================
b . 13.09 |====================================================================