AMD EPYC 7F32 8-Core testing with a ASRockRack EPYCD8 (P2.40 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 2312047-NE-DEC10324710
dec
AMD EPYC 7F32 8-Core testing with a ASRockRack EPYCD8 (P2.40 BIOS) and ASPEED on Debian 12 via the Phoronix Test Suite.
,,"a","bn"
Processor,,AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads),AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads)
Motherboard,,ASRockRack EPYCD8 (P2.40 BIOS),ASRockRack EPYCD8 (P2.40 BIOS)
Chipset,,AMD Starship/Matisse,AMD Starship/Matisse
Memory,,28GB,28GB
Disk,,Samsung SSD 970 EVO Plus 250GB,Samsung SSD 970 EVO Plus 250GB
Graphics,,ASPEED,ASPEED
Network,,2 x Intel I350,2 x Intel I350
OS,,Debian 12,Debian 12
Kernel,,6.1.0-11-amd64 (x86_64),6.1.0-11-amd64 (x86_64)
Display Server,,X Server,X Server
Compiler,,GCC 12.2.0,GCC 12.2.0
File-System,,ext4,ext4
Screen Resolution,,1024x768,1024x768
,,"a","bn"
"Apache Spark TPC-H - Scale Factor: 1 - Geometric Mean Of All Queries (sec)",LIB,2.22058357,1.93528074
"PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-50 (batches/sec)",HIB,18.83,17.12
"PyTorch - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l (batches/sec)",HIB,4.01,4.40
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,23.81,26.10
"PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-50 (batches/sec)",HIB,18.86,20.55
"Java SciMark - Computational Test: Sparse Matrix Multiply (Mflops)",HIB,2984.34,2821.91
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,10.80,11.40
"ScyllaDB - Test: Mixed 1:3 (Op/s)",HIB,59482,61910
"PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-152 (batches/sec)",HIB,7.79,8.06
"PyTorch - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l (batches/sec)",HIB,4.23,4.36
"Apache Spark TPC-H - Scale Factor: 10 - Geometric Mean Of All Queries (sec)",LIB,10.1597254,9.93087016
"PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-152 (batches/sec)",HIB,7.82,7.65
"ScyllaDB - Test: Writes (Op/s)",HIB,63508,62394
"ScyllaDB - Test: Mixed 1:1 (Op/s)",HIB,59385,58423
"WebP2 Image Encode - Encode Settings: Default (MP/s)",HIB,6.15,6.07
"Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,7642.2,7733.9
"PyTorch - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l (batches/sec)",HIB,5.84,5.91
"Xmrig - Variant: KawPow - Hash Count: 1M (H/s)",HIB,7283,7367.5
"Xmrig - Variant: CryptoNight-Femto UPX2 - Hash Count: 1M (H/s)",HIB,7222.6,7293.5
"Java SciMark - Computational Test: Composite (Mflops)",HIB,3353.91,3322.56
"Java SciMark - Computational Test: Monte Carlo (Mflops)",HIB,1551.09,1541.63
"OpenSSL - Algorithm: SHA256 (byte/s)",HIB,8132708840,8182523110
"OpenSSL - Algorithm: AES-256-GCM (byte/s)",HIB,34049822170,33845299880
"Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,7257.3,7299.8
"Xmrig - Variant: CryptoNight-Heavy - Hash Count: 1M (H/s)",HIB,7247.9,7285.4
"OpenSSL - Algorithm: AES-128-GCM (byte/s)",HIB,36787037530,36966133490
"OpenSSL - Algorithm: RSA4096 (verify/s)",HIB,146935.3,146577.4
"Xmrig - Variant: GhostRider - Hash Count: 1M (H/s)",HIB,1699.4,1702.2
"Java SciMark - Computational Test: Dense LU Matrix Factorization (Mflops)",HIB,10381.18,10396.36
"OpenSSL - Algorithm: SHA512 (byte/s)",HIB,3535853100,3537869950
"OpenSSL - Algorithm: RSA4096 (sign/s)",HIB,2281.4,2281.3
"WebP2 Image Encode - Encode Settings: Quality 100, Lossless Compression (MP/s)",HIB,0.01,0.01
"WebP2 Image Encode - Encode Settings: Quality 100, Compression Effort 5 (MP/s)",HIB,3.14,3.14
"WebP2 Image Encode - Encode Settings: Quality 95, Compression Effort 7 (MP/s)",HIB,0.05,0.05
"WebP2 Image Encode - Encode Settings: Quality 75, Compression Effort 7 (MP/s)",HIB,0.12,0.12
"Java SciMark - Computational Test: Jacobi Successive Over-Relaxation (Mflops)",HIB,1644.33,1644.33
"Java SciMark - Computational Test: Fast Fourier Transform (Mflops)",HIB,208.59,208.59
"Apache Spark TPC-H - Scale Factor: 10 - Q22 (sec)",LIB,4.14462233,3.91672444
"Apache Spark TPC-H - Scale Factor: 10 - Q21 (sec)",LIB,40.58092499,39.15390396
"Apache Spark TPC-H - Scale Factor: 10 - Q20 (sec)",LIB,10.46886826,9.70357227
"Apache Spark TPC-H - Scale Factor: 10 - Q19 (sec)",LIB,9.58936787,9.72706985
"Apache Spark TPC-H - Scale Factor: 10 - Q18 (sec)",LIB,21.65942383,21.7481823
"Apache Spark TPC-H - Scale Factor: 10 - Q17 (sec)",LIB,20.54525948,21.55532455
"Apache Spark TPC-H - Scale Factor: 10 - Q16 (sec)",LIB,3.86818385,5.15048695
"Apache Spark TPC-H - Scale Factor: 10 - Q15 (sec)",LIB,8.47524548,7.76893663
"Apache Spark TPC-H - Scale Factor: 10 - Q14 (sec)",LIB,9.077631,8.18762398
"Apache Spark TPC-H - Scale Factor: 10 - Q13 (sec)",LIB,5.29969501,5.45100594
"Apache Spark TPC-H - Scale Factor: 10 - Q12 (sec)",LIB,10.26303959,9.50101376
"Apache Spark TPC-H - Scale Factor: 10 - Q11 (sec)",LIB,3.04795361,3.0415113
"Apache Spark TPC-H - Scale Factor: 10 - Q10 (sec)",LIB,13.4066782,11.79611301
"Apache Spark TPC-H - Scale Factor: 10 - Q09 (sec)",LIB,17.91793633,16.88582802
"Apache Spark TPC-H - Scale Factor: 10 - Q08 (sec)",LIB,14.24288845,12.91978168
"Apache Spark TPC-H - Scale Factor: 10 - Q07 (sec)",LIB,12.10037708,11.7519722
"Apache Spark TPC-H - Scale Factor: 10 - Q06 (sec)",LIB,7.39141226,7.93858099
"Apache Spark TPC-H - Scale Factor: 10 - Q05 (sec)",LIB,15.314538,14.73333359
"Apache Spark TPC-H - Scale Factor: 10 - Q04 (sec)",LIB,12.03364944,12.10291386
"Apache Spark TPC-H - Scale Factor: 10 - Q03 (sec)",LIB,15.54020023,14.12649727
"Apache Spark TPC-H - Scale Factor: 10 - Q02 (sec)",LIB,3.72662234,3.95732331
"Apache Spark TPC-H - Scale Factor: 10 - Q01 (sec)",LIB,11.45545387,12.13429546
"Apache Spark TPC-H - Scale Factor: 1 - Q22 (sec)",LIB,1.50887966,1.18478966
"Apache Spark TPC-H - Scale Factor: 1 - Q21 (sec)",LIB,7.3623395,5.90563631
"Apache Spark TPC-H - Scale Factor: 1 - Q20 (sec)",LIB,2.5685277,2.05796456
"Apache Spark TPC-H - Scale Factor: 1 - Q19 (sec)",LIB,1.55650663,1.1206677
"Apache Spark TPC-H - Scale Factor: 1 - Q18 (sec)",LIB,4.13328314,2.96416354
"Apache Spark TPC-H - Scale Factor: 1 - Q17 (sec)",LIB,3.18791461,2.56558704
"Apache Spark TPC-H - Scale Factor: 1 - Q16 (sec)",LIB,1.40686238,1.50379097
"Apache Spark TPC-H - Scale Factor: 1 - Q15 (sec)",LIB,1.47235715,1.28958678
"Apache Spark TPC-H - Scale Factor: 1 - Q14 (sec)",LIB,1.46229827,1.21450496
"Apache Spark TPC-H - Scale Factor: 1 - Q13 (sec)",LIB,1.47307062,1.48954952
"Apache Spark TPC-H - Scale Factor: 1 - Q12 (sec)",LIB,2.19275475,1.79071534
"Apache Spark TPC-H - Scale Factor: 1 - Q11 (sec)",LIB,0.99447024,1.14198577
"Apache Spark TPC-H - Scale Factor: 1 - Q10 (sec)",LIB,2.59374738,2.48688817
"Apache Spark TPC-H - Scale Factor: 1 - Q09 (sec)",LIB,4.36309004,4.13990402
"Apache Spark TPC-H - Scale Factor: 1 - Q08 (sec)",LIB,2.44270658,2.20709968
"Apache Spark TPC-H - Scale Factor: 1 - Q07 (sec)",LIB,2.92266011,2.53473639
"Apache Spark TPC-H - Scale Factor: 1 - Q06 (sec)",LIB,1.44405162,1.13565028
"Apache Spark TPC-H - Scale Factor: 1 - Q05 (sec)",LIB,2.73677516,2.26476479
"Apache Spark TPC-H - Scale Factor: 1 - Q04 (sec)",LIB,2.65273333,2.13858771
"Apache Spark TPC-H - Scale Factor: 1 - Q03 (sec)",LIB,2.97112632,2.49185371
"Apache Spark TPC-H - Scale Factor: 1 - Q02 (sec)",LIB,2.36048675,2.24186182
"Apache Spark TPC-H - Scale Factor: 1 - Q01 (sec)",LIB,3.77014923,3.33561563