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 WebP2 Image Encode 20220823 Encode Settings: Quality 100, Lossless Compression MP/s > Higher Is Better a . 0.01 |===================================================================== b . 0.01 |===================================================================== Xmrig 6.21 Variant: GhostRider - Hash Count: 1M H/s > Higher Is Better a . 963.7 |=================================================================== b . 977.9 |==================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 95, Compression Effort 7 MP/s > Higher Is Better a . 0.06 |===================================================================== b . 0.06 |===================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 4.78 |===================================================================== b . 4.71 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 4.68 |=================================================================== b . 4.81 |===================================================================== ScyllaDB 5.2.9 Test: Mixed 1:1 Op/s > Higher Is Better a . 102646 |=================================================================== b . 102265 |=================================================================== 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: 10 - Geometric Mean Of All Queries Seconds < Lower Is Better a . 9.28189656 |=============================================================== b . 8.88874725 |============================================================ 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: 32 - Model: ResNet-152 batches/sec > Higher Is Better a . 8.26 |===================================================================== b . 8.13 |==================================================================== ScyllaDB 5.2.9 Test: Mixed 1:3 Op/s > Higher Is Better a . 104877 |=================================================================== b . 104038 |================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 75, Compression Effort 7 MP/s > Higher Is Better a . 0.13 |===================================================================== b . 0.12 |================================================================ Xmrig 6.21 Variant: KawPow - Hash Count: 1M H/s > Higher Is Better a . 5867.4 |=================================================================== b . 5855.9 |=================================================================== Xmrig 6.21 Variant: Monero - Hash Count: 1M H/s > Higher Is Better a . 5893.1 |=================================================================== b . 5825.5 |================================================================== 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: CryptoNight-Heavy - Hash Count: 1M H/s > Higher Is Better a . 5837.8 |================================================================== b . 5962.4 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 6.93 |===================================================================== b . 6.92 |===================================================================== ScyllaDB 5.2.9 Test: Writes Op/s > Higher Is Better a . 106990 |=================================================================== b . 103971 |================================================================= Xmrig 6.21 Variant: Wownero - Hash Count: 1M H/s > Higher Is Better a . 9157.4 |================================================================== b . 9271.5 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 batches/sec > Higher Is Better a . 11.13 |==================================================================== b . 11.14 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 batches/sec > Higher Is Better a . 19.77 |=============================================================== b . 21.39 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 batches/sec > Higher Is Better a . 21.60 |==================================================================== b . 21.47 |==================================================================== 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 |=============================================================== Apache Spark TPC-H 3.5 Scale Factor: 1 - Geometric Mean Of All Queries Seconds < Lower Is Better a . 2.18321482 |============================================================= b . 2.24233143 |=============================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 batches/sec > Higher Is Better a . 29.60 |==================================================================== b . 29.37 |=================================================================== Java SciMark 2.2 Computational Test: Composite Mflops > Higher Is Better a . 1707.42 |=============================================================== b . 1777.58 |================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 100, Compression Effort 5 MP/s > Higher Is Better a . 3.35 |=================================================================== b . 3.44 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Default MP/s > Higher Is Better a . 5.91 |==================================================================== b . 6.00 |===================================================================== Java SciMark 2.2 Computational Test: Jacobi Successive Over-Relaxation Mflops > Higher Is Better a . 1158.24 |================================================================== b . 1154.75 |================================================================== Java SciMark 2.2 Computational Test: Dense LU Matrix Factorization Mflops > Higher Is Better a . 4515.95 |================================================================== b . 4515.95 |================================================================== Java SciMark 2.2 Computational Test: Sparse Matrix Multiply Mflops > Higher Is Better a . 1626.69 |====================================================== b . 1980.66 |================================================================== Java SciMark 2.2 Computational Test: Fast Fourier Transform Mflops > Higher Is Better a . 454.76 |=================================================================== b . 450.81 |================================================================== Java SciMark 2.2 Computational Test: Monte Carlo Mflops > Higher Is Better a . 781.47 |=================================================================== b . 785.76 |===================================================================