7f32 feb

AMD EPYC 7F32 8-Core testing with a ASRockRack EPYCD8 (P2.40 BIOS) and ASPEED on Debian 11 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 2302171-NE-7F32FEB4497
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

AV1 2 Tests
C/C++ Compiler Tests 5 Tests
CPU Massive 3 Tests
Creator Workloads 6 Tests
Database Test Suite 4 Tests
Encoding 4 Tests
HPC - High Performance Computing 2 Tests
Common Kernel Benchmarks 2 Tests
Multi-Core 7 Tests
Python Tests 3 Tests
Server 4 Tests
Video Encoding 4 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
a
February 17 2023
  5 Hours, 21 Minutes
b
February 17 2023
  5 Hours, 20 Minutes
Invert Hiding All Results Option
  5 Hours, 21 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


7f32 feb AMD EPYC 7F32 8-Core testing with a ASRockRack EPYCD8 (P2.40 BIOS) and ASPEED on Debian 11 via the Phoronix Test Suite. a: Processor: AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 28GB, Disk: Samsung SSD 970 EVO Plus 250GB, Graphics: ASPEED, Network: 2 x Intel I350 OS: Debian 11, Kernel: 5.10.0-10-amd64 (x86_64), Desktop: GNOME Shell 3.38.6, Display Server: X Server, Compiler: GCC 10.2.1 20210110, File-System: ext4, Screen Resolution: 1024x768 b: Processor: AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 28GB, Disk: Samsung SSD 970 EVO Plus 250GB, Graphics: ASPEED, Network: 2 x Intel I350 OS: Debian 11, Kernel: 5.10.0-10-amd64 (x86_64), Desktop: GNOME Shell 3.38.6, Display Server: X Server, Compiler: GCC 10.2.1 20210110, File-System: ext4, Screen Resolution: 1024x768 PostgreSQL 15 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only TPS > Higher Is Better a . 410670 |====================================================== b . 508680 |=================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency ms < Lower Is Better a . 2.435 |==================================================================== b . 1.966 |======================================================= PostgreSQL 15 Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency ms < Lower Is Better a . 59.35 |======================================================= b . 73.11 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 500 - Mode: Read Write TPS > Higher Is Better a . 8425 |===================================================================== b . 6839 |======================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency ms < Lower Is Better a . 30.77 |=========================================================== b . 35.37 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 250 - Mode: Read Write TPS > Higher Is Better a . 8126 |===================================================================== b . 7069 |============================================================ Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Inner Join Test Time Seconds < Lower Is Better a . 2.77 |===================================================================== b . 2.43 |============================================================= PostgreSQL 15 Scaling Factor: 100 - Clients: 800 - Mode: Read Write TPS > Higher Is Better a . 8166 |===================================================================== b . 7173 |============================================================= PostgreSQL 15 Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency ms < Lower Is Better a . 14.51 |============================================================ b . 16.52 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 100 - Mode: Read Write TPS > Higher Is Better a . 6893 |===================================================================== b . 6055 |============================================================= PostgreSQL 15 Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency ms < Lower Is Better a . 97.97 |=========================================================== b . 111.52 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Time Seconds < Lower Is Better a . 2.39 |============================================================= b . 2.72 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Repartition Test Time Seconds < Lower Is Better a . 1.96 |============================================================= b . 2.23 |===================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write TPS > Higher Is Better a . 7792 |===================================================================== b . 6889 |============================================================= PostgreSQL 15 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency ms < Lower Is Better a . 128.35 |=========================================================== b . 145.16 |=================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.958 |==================================================================== b . 0.874 |============================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 500 - Mode: Read Only TPS > Higher Is Better a . 522138 |============================================================= b . 571774 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test Time Seconds < Lower Is Better a . 2.17651277 |========================================================== b . 2.38000000 |=============================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 800 - Mode: Read Only TPS > Higher Is Better a . 446689 |============================================================= b . 486710 |=================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency ms < Lower Is Better a . 1.791 |==================================================================== b . 1.644 |============================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time Seconds < Lower Is Better a . 2.07 |===================================================================== b . 1.91 |================================================================ Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Inner Join Test Time Seconds < Lower Is Better a . 2.30 |================================================================ b . 2.49 |===================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 50 - Mode: Read Write TPS > Higher Is Better a . 4856 |===================================================================== b . 4516 |================================================================ PostgreSQL 15 Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency ms < Lower Is Better a . 10.30 |=============================================================== b . 11.07 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time Seconds < Lower Is Better a . 1.93 |===================================================================== b . 1.80 |================================================================ Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 82.73 |==================================================================== b . 77.42 |================================================================ Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 12.09 |================================================================ b . 12.91 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 107.42 |=================================================================== b . 100.54 |=============================================================== AOM AV1 3.6 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 45.36 |================================================================ b . 48.38 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 101.40 |=================================================================== b . 95.22 |=============================================================== RocksDB 7.9.2 Test: Read While Writing Op/s > Higher Is Better a . 1490922 |================================================================== b . 1401161 |============================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 33.53 |================================================================ b . 35.64 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 29.81 |==================================================================== b . 28.05 |================================================================ Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Inner Join Test Time Seconds < Lower Is Better a . 3.18 |===================================================================== b . 3.01 |================================================================= Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Group By Test Time Seconds < Lower Is Better a . 5.59 |===================================================================== b . 5.31 |================================================================== dav1d 1.1 Video Input: Summer Nature 4K FPS > Higher Is Better a . 170.85 |================================================================ b . 178.99 |=================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 1000 - Mode: Read Write TPS > Higher Is Better a . 270 |====================================================================== b . 258 |=================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency ms < Lower Is Better a . 1.016 |================================================================= b . 1.063 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 500 - Mode: Read Only TPS > Higher Is Better a . 491975 |=================================================================== b . 470230 |================================================================ PostgreSQL 15 Scaling Factor: 1 - Clients: 1000 - Mode: Read Write - Average Latency ms < Lower Is Better a . 3707.47 |=============================================================== b . 3876.57 |================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 500 - Mode: Read Write - Average Latency ms < Lower Is Better a . 982.95 |=============================================================== b . 1025.32 |================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 500 - Mode: Read Write TPS > Higher Is Better a . 509 |====================================================================== b . 488 |=================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 1 - Mode: Read Only TPS > Higher Is Better a . 61593 |================================================================= b . 64239 |==================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 800 - Mode: Read Only TPS > Higher Is Better a . 499392 |=================================================================== b . 479473 |================================================================ PostgreSQL 15 Scaling Factor: 1 - Clients: 800 - Mode: Read Only - Average Latency ms < Lower Is Better a . 1.602 |================================================================= b . 1.668 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Inner Join Test Time Seconds < Lower Is Better a . 2.13 |===================================================================== b . 2.05 |================================================================== AOM AV1 3.6 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 44.60 |================================================================== b . 46.21 |==================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 1000 - Mode: Read Only - Average Latency ms < Lower Is Better a . 2.142 |================================================================== b . 2.219 |==================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 1000 - Mode: Read Only TPS > Higher Is Better a . 466800 |=================================================================== b . 450620 |================================================================= Embree 4.0 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better a . 9.5705 |================================================================= b . 9.8828 |=================================================================== GROMACS 2023 Implementation: MPI CPU - Input: water_GMX50_bare Ns Per Day > Higher Is Better a . 1.244 |================================================================== b . 1.283 |==================================================================== VVenC 1.7 Video Input: Bosphorus 4K - Video Preset: Faster Frames Per Second > Higher Is Better a . 6.274 |==================================================================== b . 6.085 |================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 52.31 |==================================================================== b . 50.75 |================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 19.11 |================================================================== b . 19.70 |==================================================================== VP9 libvpx Encoding 1.13 Speed: Speed 5 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 23.93 |==================================================================== b . 23.25 |================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 100 - Mode: Read Only TPS > Higher Is Better a . 627441 |================================================================= b . 645705 |=================================================================== OpenEMS 0.0.35-86 Test: openEMS MSL_NotchFilter MCells/s > Higher Is Better a . 43.28 |================================================================== b . 44.47 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better a . 11.39 |================================================================== b . 11.69 |==================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 250 - Mode: Read Write TPS > Higher Is Better a . 598 |==================================================================== b . 614 |====================================================================== Embree 4.0 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better a . 10.54 |================================================================== b . 10.81 |==================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.159 |==================================================================== b . 0.155 |================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency ms < Lower Is Better a . 417.72 |=================================================================== b . 407.38 |================================================================= PostgreSQL 15 Scaling Factor: 100 - Clients: 50 - Mode: Read Only TPS > Higher Is Better a . 545224 |=================================================================== b . 531797 |================================================================= Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Repartition Test Time Seconds < Lower Is Better a . 2.753324538 |============================================================== b . 2.690000000 |============================================================= VP9 libvpx Encoding 1.13 Speed: Speed 0 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 11.26 |==================================================================== b . 11.01 |================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.092 |=================================================================== b . 0.094 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 28.80 |==================================================================== b . 28.22 |=================================================================== VP9 libvpx Encoding 1.13 Speed: Speed 5 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 9.80 |===================================================================== b . 9.61 |==================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 250 - Mode: Read Only TPS > Higher Is Better a . 606075 |================================================================== b . 617509 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 5.4210 |=================================================================== b . 5.3209 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 184.46 |================================================================== b . 187.93 |=================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.412 |==================================================================== b . 0.405 |=================================================================== RocksDB 7.9.2 Test: Random Read Op/s > Higher Is Better a . 35559141 |================================================================ b . 36110424 |================================================================= Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 27.34 |=================================================================== b . 27.72 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 36.57 |==================================================================== b . 36.07 |=================================================================== AOM AV1 3.6 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 45.97 |=================================================================== b . 46.60 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Repartition Test Time Seconds < Lower Is Better a . 2.25 |===================================================================== b . 2.22 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.454 |=================================================================== b . 0.460 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 250 - Mode: Read Only TPS > Higher Is Better a . 550537 |=================================================================== b . 543855 |================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 800 - Mode: Read Write - Average Latency ms < Lower Is Better a . 2457.45 |================================================================== b . 2428.66 |================================================================= Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 25.55 |==================================================================== b . 25.27 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Group By Test Time Seconds < Lower Is Better a . 4.64 |===================================================================== b . 4.59 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 55.27 |=================================================================== b . 55.85 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 114.06 |================================================================== b . 115.24 |=================================================================== AOM AV1 3.6 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 37.74 |=================================================================== b . 38.13 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 72.28 |==================================================================== b . 71.54 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 492.13 |=================================================================== b . 487.20 |================================================================== RocksDB 7.9.2 Test: Sequential Fill Op/s > Higher Is Better a . 589310 |================================================================== b . 595266 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Repartition Test Time Seconds < Lower Is Better a . 2.00 |==================================================================== b . 2.02 |===================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 1 - Mode: Read Only TPS > Higher Is Better a . 54842 |=================================================================== b . 55389 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 156.34 |================================================================== b . 157.89 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better a . 11.43 |=================================================================== b . 11.54 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better a . 11.51 |==================================================================== b . 11.40 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 8.0865 |================================================================== b . 8.1627 |=================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 800 - Mode: Read Write TPS > Higher Is Better a . 326 |===================================================================== b . 329 |====================================================================== Embree 4.0 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better a . 10.88 |==================================================================== b . 10.79 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Time Seconds < Lower Is Better a . 4.74 |==================================================================== b . 4.78 |===================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 26.15 |=================================================================== b . 26.37 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 38.22 |==================================================================== b . 37.91 |=================================================================== AOM AV1 3.6 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 125.49 |================================================================== b . 126.50 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 109.45 |================================================================== b . 110.31 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 36.49 |==================================================================== b . 36.22 |=================================================================== dav1d 1.1 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better a . 366.43 |================================================================== b . 369.21 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 177.91 |=================================================================== b . 176.59 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 22.42 |=================================================================== b . 22.59 |==================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 1 - Mode: Read Write TPS > Higher Is Better a . 708 |====================================================================== b . 703 |====================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency ms < Lower Is Better a . 1.413 |==================================================================== b . 1.423 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Time Seconds < Lower Is Better a . 4.32 |===================================================================== b . 4.29 |===================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 5.3727 |=================================================================== b . 5.3372 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 186.12 |=================================================================== b . 187.36 |=================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 100 - Mode: Read Write TPS > Higher Is Better a . 658 |====================================================================== b . 654 |====================================================================== dav1d 1.1 Video Input: Summer Nature 1080p FPS > Higher Is Better a . 612.98 |=================================================================== b . 616.71 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Group By Test Time Seconds < Lower Is Better a . 5.05 |===================================================================== b . 5.02 |===================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.178 |==================================================================== b . 0.177 |==================================================================== RocksDB 7.9.2 Test: Read Random Write Random Op/s > Higher Is Better a . 1146165 |================================================================== b . 1152478 |================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency ms < Lower Is Better a . 152.08 |=================================================================== b . 152.86 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time Seconds < Lower Is Better a . 4.15 |===================================================================== b . 4.13 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Seconds < Lower Is Better a . 188.34 |=================================================================== b . 187.45 |=================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency ms < Lower Is Better a . 73.72 |==================================================================== b . 74.05 |==================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 50 - Mode: Read Write TPS > Higher Is Better a . 678 |====================================================================== b . 675 |====================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 100 - Mode: Read Only TPS > Higher Is Better a . 561050 |=================================================================== b . 563522 |=================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 50 - Mode: Read Only TPS > Higher Is Better a . 620983 |=================================================================== b . 618290 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 50.37 |==================================================================== b . 50.16 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 12.30 |==================================================================== b . 12.35 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 79.29 |==================================================================== b . 79.62 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 6.4027 |=================================================================== b . 6.3771 |=================================================================== Embree 4.0 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 9.7218 |=================================================================== b . 9.7600 |=================================================================== VVenC 1.7 Video Input: Bosphorus 1080p - Video Preset: Fast Frames Per Second > Higher Is Better a . 7.229 |==================================================================== b . 7.257 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 67.30 |==================================================================== b . 67.04 |==================================================================== VVenC 1.7 Video Input: Bosphorus 4K - Video Preset: Fast Frames Per Second > Higher Is Better a . 2.72 |===================================================================== b . 2.71 |===================================================================== VP9 libvpx Encoding 1.13 Speed: Speed 0 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 5.42 |===================================================================== b . 5.44 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Seconds < Lower Is Better a . 186.61 |=================================================================== b . 185.93 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Group By Test Time Seconds < Lower Is Better a . 5.79 |===================================================================== b . 5.77 |===================================================================== Embree 4.0 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 9.3827 |=================================================================== b . 9.3503 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 59.38 |==================================================================== b . 59.57 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 9.56 |===================================================================== b . 9.53 |===================================================================== RocksDB 7.9.2 Test: Update Random Op/s > Higher Is Better a . 346409 |=================================================================== b . 347469 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 18.53 |==================================================================== b . 18.47 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 53.96 |==================================================================== b . 54.12 |==================================================================== RocksDB 7.9.2 Test: Random Fill Op/s > Higher Is Better a . 530099 |=================================================================== b . 528550 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better a . 11.49 |==================================================================== b . 11.52 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time Seconds < Lower Is Better a . 4.03 |===================================================================== b . 4.04 |===================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 1 - Mode: Read Write TPS > Higher Is Better a . 425 |====================================================================== b . 424 |====================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Seconds < Lower Is Better a . 186.58 |=================================================================== b . 186.16 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 6.3968 |=================================================================== b . 6.3828 |=================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average Latency ms < Lower Is Better a . 2.355 |==================================================================== b . 2.360 |==================================================================== Embree 4.0 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better a . 9.3491 |=================================================================== b . 9.3296 |=================================================================== AOM AV1 3.6 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 5.64 |===================================================================== b . 5.65 |===================================================================== RocksDB 7.9.2 Test: Random Fill Sync Op/s > Higher Is Better a . 2852 |===================================================================== b . 2857 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Seconds < Lower Is Better a . 189.28 |=================================================================== b . 189.00 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 146.76 |=================================================================== b . 146.59 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 6.8129 |=================================================================== b . 6.8210 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 618.83 |=================================================================== b . 619.46 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 618.22 |=================================================================== b . 618.84 |=================================================================== OpenEMS 0.0.35-86 Test: pyEMS Coupler MCells/s > Higher Is Better a . 20.99 |==================================================================== b . 20.97 |==================================================================== VVenC 1.7 Video Input: Bosphorus 1080p - Video Preset: Faster Frames Per Second > Higher Is Better a . 17.60 |==================================================================== b . 17.60 |==================================================================== dav1d 1.1 Video Input: Chimera 1080p FPS > Higher Is Better a . 390.36 |=================================================================== b . 390.37 |=================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.018 |==================================================================== b . 0.018 |==================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.081 |==================================================================== b . 0.081 |==================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.016 |==================================================================== b . 0.016 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 0.54 |===================================================================== b . 0.54 |===================================================================== AOM AV1 3.6 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 0.19 |===================================================================== b . 0.19 |===================================================================== ClickHouse 22.12.3.5 Queries Per Minute, Geo Mean > Higher Is Better