Tests for a future article. Intel Xeon Silver 4216 testing with a TYAN S7100AG2NR (V4.02 BIOS) and ASPEED on Debian 12 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 2312044-NE-DEC16393710
dec
Tests for a future article. Intel Xeon Silver 4216 testing with a TYAN S7100AG2NR (V4.02 BIOS) and ASPEED on Debian 12 via the Phoronix Test Suite.
a:
Processor: Intel Xeon Silver 4216 @ 3.20GHz (16 Cores / 32 Threads), Motherboard: TYAN S7100AG2NR (V4.02 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 46GB, Disk: 240GB Corsair Force MP500, Graphics: ASPEED, Audio: Realtek ALC892, Network: 2 x Intel I350
OS: Debian 12, Kernel: 6.1.0-11-amd64 (x86_64), Display Server: X Server, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1024x768
b:
Processor: Intel Xeon Silver 4216 @ 3.20GHz (16 Cores / 32 Threads), Motherboard: TYAN S7100AG2NR (V4.02 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 46GB, Disk: 240GB Corsair Force MP500, Graphics: ASPEED, Audio: Realtek ALC892, Network: 2 x Intel I350
OS: Debian 12, Kernel: 6.1.0-11-amd64 (x86_64), Display Server: X Server, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1024x768
Java SciMark 2.2
Computational Test: Sparse Matrix Multiply
Mflops > Higher Is Better
a . 1626.69 |======================================================
b . 1980.66 |==================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 75, Compression Effort 7
MP/s > Higher Is Better
a . 0.13 |=====================================================================
b . 0.12 |================================================================
PyTorch 2.1
Device: CPU - Batch Size: 32 - Model: ResNet-50
batches/sec > Higher Is Better
a . 19.77 |===============================================================
b . 21.39 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Geometric Mean Of All Queries
Seconds < Lower Is Better
a . 9.28189656 |===============================================================
b . 8.88874725 |============================================================
Java SciMark 2.2
Computational Test: Composite
Mflops > Higher Is Better
a . 1707.42 |===============================================================
b . 1777.58 |==================================================================
ScyllaDB 5.2.9
Test: Writes
Op/s > Higher Is Better
a . 106990 |===================================================================
b . 103971 |=================================================================
PyTorch 2.1
Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 4.68 |===================================================================
b . 4.81 |=====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Geometric Mean Of All Queries
Seconds < Lower Is Better
a . 2.18321482 |=============================================================
b . 2.24233143 |===============================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 100, Compression Effort 5
MP/s > Higher Is Better
a . 3.35 |===================================================================
b . 3.44 |=====================================================================
Xmrig 6.21
Variant: CryptoNight-Heavy - Hash Count: 1M
H/s > Higher Is Better
a . 5837.8 |==================================================================
b . 5962.4 |===================================================================
PyTorch 2.1
Device: CPU - Batch Size: 32 - Model: ResNet-152
batches/sec > Higher Is Better
a . 8.26 |=====================================================================
b . 8.13 |====================================================================
WebP2 Image Encode 20220823
Encode Settings: Default
MP/s > Higher Is Better
a . 5.91 |====================================================================
b . 6.00 |=====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 4.78 |=====================================================================
b . 4.71 |====================================================================
Xmrig 6.21
Variant: GhostRider - Hash Count: 1M
H/s > Higher Is Better
a . 963.7 |===================================================================
b . 977.9 |====================================================================
Xmrig 6.21
Variant: CryptoNight-Femto UPX2 - Hash Count: 1M
H/s > Higher Is Better
a . 5928.6 |===================================================================
b . 5850.6 |==================================================================
Xmrig 6.21
Variant: Wownero - Hash Count: 1M
H/s > Higher Is Better
a . 9157.4 |==================================================================
b . 9271.5 |===================================================================
Xmrig 6.21
Variant: Monero - Hash Count: 1M
H/s > Higher Is Better
a . 5893.1 |===================================================================
b . 5825.5 |==================================================================
Java SciMark 2.2
Computational Test: Fast Fourier Transform
Mflops > Higher Is Better
a . 454.76 |===================================================================
b . 450.81 |==================================================================
ScyllaDB 5.2.9
Test: Mixed 1:3
Op/s > Higher Is Better
a . 104877 |===================================================================
b . 104038 |==================================================================
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: ResNet-50
batches/sec > Higher Is Better
a . 29.60 |====================================================================
b . 29.37 |===================================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: ResNet-152
batches/sec > Higher Is Better
a . 8.10 |====================================================================
b . 8.16 |=====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
batches/sec > Higher Is Better
a . 21.60 |====================================================================
b . 21.47 |====================================================================
Java SciMark 2.2
Computational Test: Monte Carlo
Mflops > Higher Is Better
a . 781.47 |===================================================================
b . 785.76 |===================================================================
ScyllaDB 5.2.9
Test: Mixed 1:1
Op/s > Higher Is Better
a . 102646 |===================================================================
b . 102265 |===================================================================
Java SciMark 2.2
Computational Test: Jacobi Successive Over-Relaxation
Mflops > Higher Is Better
a . 1158.24 |==================================================================
b . 1154.75 |==================================================================
Xmrig 6.21
Variant: KawPow - Hash Count: 1M
H/s > Higher Is Better
a . 5867.4 |===================================================================
b . 5855.9 |===================================================================
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 6.93 |=====================================================================
b . 6.92 |=====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: ResNet-152
batches/sec > Higher Is Better
a . 11.13 |====================================================================
b . 11.14 |====================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 100, Lossless Compression
MP/s > Higher Is Better
a . 0.01 |=====================================================================
b . 0.01 |=====================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 95, Compression Effort 7
MP/s > Higher Is Better
a . 0.06 |=====================================================================
b . 0.06 |=====================================================================
Java SciMark 2.2
Computational Test: Dense LU Matrix Factorization
Mflops > Higher Is Better
a . 4515.95 |==================================================================
b . 4515.95 |==================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q22
Seconds < Lower Is Better
a . 3.85397696 |==============================================================
b . 3.88996506 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q21
Seconds < Lower Is Better
a . 35.34 |====================================================================
b . 35.11 |====================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q20
Seconds < Lower Is Better
a . 9.36416721 |===============================================================
b . 9.04618073 |=============================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q19
Seconds < Lower Is Better
a . 7.29535866 |===============================================================
b . 6.76169682 |==========================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q18
Seconds < Lower Is Better
a . 19.15 |====================================================================
b . 18.64 |==================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q17
Seconds < Lower Is Better
a . 18.46 |====================================================================
b . 17.83 |==================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q16
Seconds < Lower Is Better
a . 5.13356972 |===============================================================
b . 5.15904617 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q15
Seconds < Lower Is Better
a . 7.12615681 |===============================================================
b . 6.85408068 |=============================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q14
Seconds < Lower Is Better
a . 7.46026468 |===============================================================
b . 7.30273533 |==============================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q13
Seconds < Lower Is Better
a . 5.40467548 |==============================================================
b . 5.47891760 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q12
Seconds < Lower Is Better
a . 8.48680019 |===============================================================
b . 8.29275036 |==============================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q11
Seconds < Lower Is Better
a . 3.86491919 |===============================================================
b . 3.00896120 |=================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q10
Seconds < Lower Is Better
a . 10.97 |====================================================================
b . 10.03 |==============================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q09
Seconds < Lower Is Better
a . 15.71 |====================================================================
b . 15.32 |==================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q08
Seconds < Lower Is Better
a . 11.92 |====================================================================
b . 11.33 |=================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q07
Seconds < Lower Is Better
a . 10.69 |====================================================================
b . 10.25 |=================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q06
Seconds < Lower Is Better
a . 6.09845495 |===============================================================
b . 5.68452263 |===========================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q05
Seconds < Lower Is Better
a . 13.33 |====================================================================
b . 13.23 |===================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q04
Seconds < Lower Is Better
a . 9.76356316 |==============================================================
b . 9.95776272 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q03
Seconds < Lower Is Better
a . 11.71 |====================================================================
b . 11.29 |==================================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q02
Seconds < Lower Is Better
a . 4.48333502 |===========================================================
b . 4.77202606 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 10 - Q01
Seconds < Lower Is Better
a . 9.97524929 |===============================================================
b . 9.87204170 |==============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q22
Seconds < Lower Is Better
a . 1.57760274 |===============================================================
b . 1.51787877 |=============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q21
Seconds < Lower Is Better
a . 7.13304615 |===========================================================
b . 7.60426664 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q20
Seconds < Lower Is Better
a . 2.18017840 |===============================================================
b . 2.18924332 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q19
Seconds < Lower Is Better
a . 1.22132325 |==============================================================
b . 1.24160743 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q18
Seconds < Lower Is Better
a . 3.11234975 |===========================================================
b . 3.32527804 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q17
Seconds < Lower Is Better
a . 2.44847822 |===========================================================
b . 2.63462925 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q16
Seconds < Lower Is Better
a . 1.75938559 |==============================================================
b . 1.79754341 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q15
Seconds < Lower Is Better
a . 1.60029387 |===========================================================
b . 1.69501054 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q14
Seconds < Lower Is Better
a . 1.29490280 |==============================================================
b . 1.31134272 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q13
Seconds < Lower Is Better
a . 1.71779037 |=========================================================
b . 1.90720451 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q12
Seconds < Lower Is Better
a . 1.85284626 |============================================================
b . 1.95409453 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q11
Seconds < Lower Is Better
a . 1.56406581 |==========================================================
b . 1.69165063 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q10
Seconds < Lower Is Better
a . 2.85534048 |===============================================================
b . 2.61070085 |==========================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q09
Seconds < Lower Is Better
a . 4.22644138 |===============================================================
b . 4.01695490 |============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q08
Seconds < Lower Is Better
a . 2.43989873 |=============================================================
b . 2.50900340 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q07
Seconds < Lower Is Better
a . 3.12241793 |===============================================================
b . 3.02956104 |=============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q06
Seconds < Lower Is Better
a . 0.78977180 |===========================================================
b . 0.84240991 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q05
Seconds < Lower Is Better
a . 2.90986991 |====================================================
b . 3.51811767 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q04
Seconds < Lower Is Better
a . 2.51759887 |=============================================================
b . 2.59373999 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q03
Seconds < Lower Is Better
a . 3.22715306 |===============================================================
b . 3.08790493 |============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q02
Seconds < Lower Is Better
a . 2.56371188 |============================================================
b . 2.71350718 |===============================================================
Apache Spark TPC-H 3.5
Scale Factor: 1 - Q01
Seconds < Lower Is Better
a . 4.09272242 |==============================================================
b . 4.13884735 |===============================================================