sssa Tests for a future article. AMD Ryzen 7 PRO 5850U testing with a HP 8A78 (F.04 BIOS) and AMD Cezanne 512MB on Pop 22.04 via the Phoronix Test Suite. a: Processor: AMD Ryzen 7 PRO 5850U @ 1.90GHz (8 Cores / 16 Threads), Motherboard: HP 8A78 (F.04 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 1024GB SK hynix PC711 HFS001TDE9X073N, Graphics: AMD Cezanne 512MB (2000/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8822CE 802.11ac PCIe OS: Pop 22.04, Kernel: 6.2.6-76060206-generic (x86_64), Desktop: GNOME Shell 42.5, Display Server: X Server 1.21.1.3, OpenGL: 4.6 Mesa 22.3.5 (LLVM 15.0.6 DRM 3.49), Vulkan: 1.3.230, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: AMD Ryzen 7 PRO 5850U @ 1.90GHz (8 Cores / 16 Threads), Motherboard: HP 8A78 (F.04 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 1024GB SK hynix PC711 HFS001TDE9X073N, Graphics: AMD Cezanne 512MB (2000/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8822CE 802.11ac PCIe OS: Pop 22.04, Kernel: 6.2.6-76060206-generic (x86_64), Desktop: GNOME Shell 42.5, Display Server: X Server 1.21.1.3, OpenGL: 4.6 Mesa 22.3.5 (LLVM 15.0.6 DRM 3.49), Vulkan: 1.3.230, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080 Apache Hadoop 3.3.6 Operation: File Status - Threads: 100 - Files: 1000000 Ops per sec > Higher Is Better a . 1219512 |================================================================== b . 355745 |=================== Apache Hadoop 3.3.6 Operation: Open - Threads: 20 - Files: 100000 Ops per sec > Higher Is Better a . 312500 |=============================== b . 675676 |=================================================================== Apache Hadoop 3.3.6 Operation: File Status - Threads: 100 - Files: 100000 Ops per sec > Higher Is Better a . 534759 |=============================================== b . 763359 |=================================================================== Apache Hadoop 3.3.6 Operation: Open - Threads: 100 - Files: 1000000 Ops per sec > Higher Is Better a . 414079 |================================================ b . 581395 |=================================================================== AOM AV1 3.7 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 110.53 |======================================================= b . 135.57 |=================================================================== Apache Hadoop 3.3.6 Operation: File Status - Threads: 20 - Files: 1000000 Ops per sec > Higher Is Better a . 1440922 |================================================================== b . 1236094 |========================================================= Apache Hadoop 3.3.6 Operation: File Status - Threads: 20 - Files: 100000 Ops per sec > Higher Is Better a . 259740 |=========================================================== b . 294985 |=================================================================== AOM AV1 3.7 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 49.03 |============================================================= b . 55.09 |==================================================================== Dragonflydb 1.6.2 Clients Per Thread: 50 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 6266375.17 |=============================================================== b . 5599787.39 |======================================================== Dragonflydb 1.6.2 Clients Per Thread: 60 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 5871888.62 |=============================================================== b . 5262725.08 |======================================================== dav1d 1.2.1 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better a . 350.59 |=================================================================== b . 318.92 |============================================================= AOM AV1 3.7 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 149.15 |============================================================== b . 162.35 |=================================================================== Apache Hadoop 3.3.6 Operation: Open - Threads: 50 - Files: 1000000 Ops per sec > Higher Is Better a . 334336 |=================================================================== b . 307977 |============================================================== NCNN 20230517 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better a . 2.25 |=================================================================== b . 2.15 |================================================================ b . 2.33 |===================================================================== NCNN 20230517 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better a . 2.89 |=================================================================== b . 2.76 |================================================================ b . 2.99 |===================================================================== Dragonflydb 1.6.2 Clients Per Thread: 10 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 3936491.08 |=============================================================== b . 3658286.88 |=========================================================== NCNN 20230517 Target: CPU - Model: resnet18 ms < Lower Is Better a . 8.05 |================================================================== b . 7.88 |================================================================ b . 8.47 |===================================================================== Dragonflydb 1.6.2 Clients Per Thread: 100 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 4614570.17 |=========================================================== b . 4959693.44 |=============================================================== AOM AV1 3.7 Encoder Mode: Speed 11 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 137.44 |=============================================================== b . 147.15 |=================================================================== Stress-NG 0.16.04 Test: AVX-512 VNNI Bogo Ops/s > Higher Is Better a . 343302.42 |================================================================ b . 320883.83 |============================================================ Dragonflydb 1.6.2 Clients Per Thread: 10 - Set To Get Ratio: 1:100 Ops/sec > Higher Is Better a . 3580117.77 |=========================================================== b . 3810972.60 |=============================================================== Xonotic 0.8.6 Resolution: 1920 x 1080 - Effects Quality: High Frames Per Second > Higher Is Better a . 247.25 |=============================================================== b . 261.80 |=================================================================== NCNN 20230517 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better a . 3.47 |=================================================================== b . 3.40 |================================================================= b . 3.59 |===================================================================== Z3 Theorem Prover 4.12.1 SMT File: 1.smt2 Seconds < Lower Is Better a . 36.43 |==================================================================== b . 34.51 |================================================================ Palabos 2.3 Grid Size: 500 Mega Site Updates Per Second > Higher Is Better a . 8.00769 |================================================================== b . 7.58860 |=============================================================== Stress-NG 0.16.04 Test: CPU Stress Bogo Ops/s > Higher Is Better a . 15908.04 |================================================================= b . 15085.63 |============================================================== NCNN 20230517 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better a . 5.94 |==================================================================== b . 5.71 |================================================================== b . 5.99 |===================================================================== Apache Hadoop 3.3.6 Operation: File Status - Threads: 50 - Files: 1000000 Ops per sec > Higher Is Better a . 316056 |================================================================ b . 331236 |=================================================================== Apache Hadoop 3.3.6 Operation: Open - Threads: 20 - Files: 1000000 Ops per sec > Higher Is Better a . 1233046 |=============================================================== b . 1291990 |================================================================== Stress-NG 0.16.04 Test: Mixed Scheduler Bogo Ops/s > Higher Is Better a . 7348.21 |================================================================== b . 7031.51 |=============================================================== Dragonflydb 1.6.2 Clients Per Thread: 60 - Set To Get Ratio: 1:100 Ops/sec > Higher Is Better a . 5907771.62 |=============================================================== b . 5663622.52 |============================================================ NCNN 20230517 Target: CPU - Model: FastestDet ms < Lower Is Better a . 2.84 |=================================================================== b . 2.79 |================================================================== b . 2.91 |===================================================================== Apache Hadoop 3.3.6 Operation: Rename - Threads: 100 - Files: 1000000 Ops per sec > Higher Is Better a . 69056 |================================================================= b . 71994 |==================================================================== Apache Hadoop 3.3.6 Operation: Open - Threads: 50 - Files: 100000 Ops per sec > Higher Is Better a . 675676 |=================================================================== b . 649351 |================================================================ Apache Hadoop 3.3.6 Operation: Rename - Threads: 50 - Files: 100000 Ops per sec > Higher Is Better a . 60350 |================================================================= b . 62775 |==================================================================== Intel Open Image Denoise 2.0 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.26 |===================================================================== b . 0.25 |================================================================== Apache Hadoop 3.3.6 Operation: Open - Threads: 100 - Files: 100000 Ops per sec > Higher Is Better a . 641026 |=================================================================== b . 617284 |================================================================= NCNN 20230517 Target: CPU - Model: regnety_400m ms < Lower Is Better a . 6.91 |===================================================================== b . 6.66 |=================================================================== b . 6.89 |===================================================================== Palabos 2.3 Grid Size: 400 Mega Site Updates Per Second > Higher Is Better a . 45.45 |==================================================================== b . 43.85 |================================================================== SVT-AV1 1.7 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 328.92 |=================================================================== b . 317.69 |================================================================= Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 point/sec > Higher Is Better a . 22013065.42 |============================================================== b . 21265438.04 |============================================================ Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 Average Latency < Lower Is Better a . 75.06 |================================================================== b . 77.61 |==================================================================== QMCPACK 3.16 Input: Li2_STO_ae Total Execution Time - Seconds < Lower Is Better a . 374.55 |================================================================= b . 387.26 |=================================================================== AOM AV1 3.7 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 56.22 |==================================================================== b . 54.49 |================================================================== Apache Hadoop 3.3.6 Operation: File Status - Threads: 50 - Files: 100000 Ops per sec > Higher Is Better a . 763359 |================================================================= b . 787402 |=================================================================== Dragonflydb 1.6.2 Clients Per Thread: 20 - Set To Get Ratio: 1:100 Ops/sec > Higher Is Better a . 4642461.69 |=============================================================== b . 4501362.90 |============================================================= Apache Hadoop 3.3.6 Operation: Create - Threads: 50 - Files: 1000000 Ops per sec > Higher Is Better a . 59542 |==================================================================== b . 57750 |================================================================== Apache Hadoop 3.3.6 Operation: Create - Threads: 50 - Files: 100000 Ops per sec > Higher Is Better a . 46598 |================================================================== b . 48031 |==================================================================== Apache CouchDB 3.3.2 Bulk Size: 100 - Inserts: 1000 - Rounds: 30 Seconds < Lower Is Better a . 105.27 |================================================================= b . 108.39 |=================================================================== Apache Hadoop 3.3.6 Operation: Create - Threads: 100 - Files: 100000 Ops per sec > Higher Is Better a . 46948 |==================================================================== b . 45641 |================================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 point/sec > Higher Is Better a . 1356276.80 |=============================================================== b . 1318759.39 |============================================================= Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 2116581.07 |=============================================================== b . 2058179.36 |============================================================= NCNN 20230517 Target: CPU - Model: mobilenet ms < Lower Is Better a . 15.01 |==================================================================== b . 14.96 |==================================================================== b . 14.60 |================================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 Average Latency < Lower Is Better a . 12.24 |================================================================== b . 12.58 |==================================================================== NCNN 20230517 Target: CPU - Model: mnasnet ms < Lower Is Better a . 2.97 |=================================================================== b . 3.05 |===================================================================== Xonotic 0.8.6 Resolution: 1920 x 1080 - Effects Quality: Ultra Frames Per Second > Higher Is Better a . 225.12 |=================================================================== b . 219.42 |================================================================= QuantLib 1.30 MFLOPS > Higher Is Better a . 3103.4 |================================================================= b . 3181.0 |=================================================================== AOM AV1 3.7 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 118.74 |================================================================= b . 121.55 |=================================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 100 - Files: 1000000 Ops per sec > Higher Is Better a . 103252 |================================================================= b . 105686 |=================================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 Average Latency < Lower Is Better a . 33.58 |================================================================== b . 34.36 |==================================================================== AOM AV1 3.7 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 148.57 |================================================================== b . 151.94 |=================================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 Average Latency < Lower Is Better a . 20.27 |=================================================================== b . 20.72 |==================================================================== Dragonflydb 1.6.2 Clients Per Thread: 100 - Set To Get Ratio: 1:100 Ops/sec > Higher Is Better a . 5248357.33 |=============================================================== b . 5138826.98 |============================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 point/sec > Higher Is Better a . 24584433.84 |============================================================== b . 24079412.72 |============================================================= Whisper.cpp 1.4 Model: ggml-small.en - Input: 2016 State of the Union Seconds < Lower Is Better a . 561.03 |================================================================== b . 572.39 |=================================================================== BRL-CAD 7.36 VGR Performance Metric VGR Performance Metric > Higher Is Better a . 105869 |=================================================================== b . 103805 |================================================================== srsRAN Project 23.5 Test: Downlink Processor Benchmark Mbps > Higher Is Better a . 802.9 |=================================================================== b . 818.8 |==================================================================== Palabos 2.3 Grid Size: 100 Mega Site Updates Per Second > Higher Is Better a . 32.83 |==================================================================== b . 32.24 |=================================================================== Blender 3.6 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a . 697.77 |================================================================== b . 710.67 |=================================================================== Apache CouchDB 3.3.2 Bulk Size: 300 - Inserts: 1000 - Rounds: 30 Seconds < Lower Is Better a . 184.28 |=================================================================== b . 181.01 |================================================================== Z3 Theorem Prover 4.12.1 SMT File: 2.smt2 Seconds < Lower Is Better a . 78.96 |=================================================================== b . 80.30 |==================================================================== SVT-AV1 1.7 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 269.58 |================================================================== b . 274.13 |=================================================================== NCNN 20230517 Target: CPU - Model: resnet50 ms < Lower Is Better a . 18.28 |==================================================================== b . 18.00 |=================================================================== b . 18.29 |==================================================================== Xonotic 0.8.6 Resolution: 1920 x 1080 - Effects Quality: Low Frames Per Second > Higher Is Better a . 587.25 |================================================================== b . 596.62 |=================================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 point/sec > Higher Is Better a . 1311878.56 |=============================================================== b . 1291334.44 |============================================================== VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Faster Frames Per Second > Higher Is Better a . 6.133 |==================================================================== b . 6.044 |=================================================================== NCNN 20230517 Target: CPU - Model: blazeface ms < Lower Is Better a . 0.71 |===================================================================== b . 0.71 |===================================================================== b . 0.70 |==================================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 Average Latency < Lower Is Better a . 71.38 |=================================================================== b . 72.39 |==================================================================== Dragonflydb 1.6.2 Clients Per Thread: 20 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 4744213.54 |=============================================================== b . 4680094.82 |============================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 point/sec > Higher Is Better a . 591435.12 |================================================================ b . 583516.34 |=============================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 50 - Files: 1000000 Ops per sec > Higher Is Better a . 76057 |=================================================================== b . 77089 |==================================================================== NCNN 20230517 Target: CPU - Model: alexnet ms < Lower Is Better a . 8.87 |==================================================================== b . 8.86 |==================================================================== b . 8.98 |===================================================================== Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 2069543.30 |=============================================================== b . 2042367.93 |============================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 point/sec > Higher Is Better a . 15319611.62 |============================================================= b . 15521981.37 |============================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 point/sec > Higher Is Better a . 26594323.47 |============================================================== b . 26256904.85 |============================================================= QMCPACK 3.16 Input: simple-H2O Total Execution Time - Seconds < Lower Is Better a . 31.92 |=================================================================== b . 32.33 |==================================================================== libavif avifenc 1.0 Encoder Speed: 10, Lossless Seconds < Lower Is Better a . 6.578 |==================================================================== b . 6.496 |=================================================================== NCNN 20230517 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better a . 9.74 |==================================================================== b . 9.77 |==================================================================== b . 9.86 |===================================================================== Apache CouchDB 3.3.2 Bulk Size: 300 - Inserts: 3000 - Rounds: 30 Seconds < Lower Is Better a . 589.45 |================================================================== b . 596.36 |=================================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 Average Latency < Lower Is Better a . 27.59 |=================================================================== b . 27.91 |==================================================================== eSpeak-NG Speech Engine 1.51 Text-To-Speech Synthesis Seconds < Lower Is Better a . 26.52 |=================================================================== b . 26.83 |==================================================================== libxsmm 2-1.17-3645 M N K: 64 GFLOPS/s > Higher Is Better a . 96.1 |==================================================================== b . 97.2 |===================================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 Average Latency < Lower Is Better a . 170.44 |================================================================== b . 172.31 |=================================================================== Apache Cassandra 4.1.3 Test: Writes Op/s > Higher Is Better a . 69906 |=================================================================== b . 70646 |==================================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 Average Latency < Lower Is Better a . 16.30 |==================================================================== b . 16.13 |=================================================================== Apache Hadoop 3.3.6 Operation: Rename - Threads: 20 - Files: 100000 Ops per sec > Higher Is Better a . 33818 |==================================================================== b . 33467 |=================================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 20 - Files: 100000 Ops per sec > Higher Is Better a . 37161 |==================================================================== b . 36778 |=================================================================== Apache Hadoop 3.3.6 Operation: Rename - Threads: 50 - Files: 1000000 Ops per sec > Higher Is Better a . 64700 |==================================================================== b . 64037 |=================================================================== Apache CouchDB 3.3.2 Bulk Size: 500 - Inserts: 3000 - Rounds: 30 Seconds < Lower Is Better a . 843.78 |================================================================== b . 852.35 |=================================================================== dav1d 1.2.1 Video Input: Chimera 1080p FPS > Higher Is Better a . 457.66 |================================================================== b . 462.29 |=================================================================== NCNN 20230517 Target: CPU - Model: googlenet ms < Lower Is Better a . 11.14 |==================================================================== b . 11.06 |=================================================================== b . 11.17 |==================================================================== AOM AV1 3.7 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 44.58 |=================================================================== b . 45.00 |==================================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 point/sec > Higher Is Better a . 859228.04 |=============================================================== b . 867189.29 |================================================================ Blender 3.6 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better a . 2122.79 |================================================================= b . 2142.13 |================================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 point/sec > Higher Is Better a . 24030230.99 |============================================================= b . 24248454.46 |============================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 639.55 |================================================================== b . 645.14 |=================================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 6.2542 |=================================================================== b . 6.2000 |================================================================== Apache Hadoop 3.3.6 Operation: Rename - Threads: 20 - Files: 1000000 Ops per sec > Higher Is Better a . 33785 |==================================================================== b . 33499 |=================================================================== Apache CouchDB 3.3.2 Bulk Size: 500 - Inserts: 1000 - Rounds: 30 Seconds < Lower Is Better a . 261.25 |================================================================== b . 263.40 |=================================================================== VVenC 1.9 Video Input: Bosphorus 1080p - Video Preset: Fast Frames Per Second > Higher Is Better a . 9.331 |==================================================================== b . 9.255 |=================================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 point/sec > Higher Is Better a . 1448687.47 |=============================================================== b . 1436919.39 |============================================================== Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 2078622.08 |============================================================== b . 2095533.61 |=============================================================== libxsmm 2-1.17-3645 M N K: 32 GFLOPS/s > Higher Is Better a . 50.6 |==================================================================== b . 51.0 |===================================================================== AOM AV1 3.7 Encoder Mode: Speed 11 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 56.55 |==================================================================== b . 56.11 |=================================================================== SVT-AV1 1.7 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 7.112 |==================================================================== b . 7.057 |=================================================================== Apache Hadoop 3.3.6 Operation: Create - Threads: 100 - Files: 1000000 Ops per sec > Higher Is Better a . 59056 |==================================================================== b . 58610 |=================================================================== VVenC 1.9 Video Input: Bosphorus 1080p - Video Preset: Faster Frames Per Second > Higher Is Better a . 20.55 |==================================================================== b . 20.41 |==================================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 point/sec > Higher Is Better a . 24975465.31 |============================================================== b . 24806905.87 |============================================================== Xonotic 0.8.6 Resolution: 1920 x 1080 - Effects Quality: Ultimate Frames Per Second > Higher Is Better a . 170.54 |=================================================================== b . 169.41 |=================================================================== SQLite 3.41.2 Threads / Copies: 1 Seconds < Lower Is Better a . 8.446 |==================================================================== b . 8.391 |==================================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 50 - Files: 100000 Ops per sec > Higher Is Better a . 72202 |==================================================================== b . 72674 |==================================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 Average Latency < Lower Is Better a . 31.18 |==================================================================== b . 31.38 |==================================================================== Embree 4.1 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better a . 9.3013 |=================================================================== b . 9.2431 |=================================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 Average Latency < Lower Is Better a . 312.85 |=================================================================== b . 310.95 |=================================================================== AOM AV1 3.7 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 31.91 |==================================================================== b . 32.10 |==================================================================== Apache Hadoop 3.3.6 Operation: Create - Threads: 20 - Files: 1000000 Ops per sec > Higher Is Better a . 32771 |==================================================================== b . 32581 |==================================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 100 - Files: 100000 Ops per sec > Higher Is Better a . 94251 |==================================================================== b . 93721 |==================================================================== Stress-NG 0.16.04 Test: Crypto Bogo Ops/s > Higher Is Better a . 15909.74 |================================================================= b . 15999.53 |================================================================= OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Items Per Second > Higher Is Better a . 1.17985 |================================================================== b . 1.17328 |================================================================== dav1d 1.2.1 Video Input: Summer Nature 1080p FPS > Higher Is Better a . 621.21 |=================================================================== b . 624.66 |=================================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 5.8400 |=================================================================== b . 5.8722 |=================================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 171.22 |=================================================================== b . 170.28 |=================================================================== SVT-AV1 1.7 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 65.21 |==================================================================== b . 64.85 |==================================================================== Dragonflydb 1.6.2 Clients Per Thread: 50 - Set To Get Ratio: 1:100 Ops/sec > Higher Is Better a . 5933177.10 |=============================================================== b . 5900913.56 |=============================================================== Laghos 3.1 Test: Sedov Blast Wave, ube_922_hex.mesh Major Kernels Total Rate > Higher Is Better a . 68.44 |==================================================================== b . 68.08 |==================================================================== NCNN 20230517 Target: CPU - Model: yolov4-tiny ms < Lower Is Better a . 25.19 |==================================================================== b . 25.06 |==================================================================== b . 25.11 |==================================================================== SVT-AV1 1.7 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 63.65 |==================================================================== b . 63.98 |==================================================================== Apache Hadoop 3.3.6 Operation: Delete - Threads: 20 - Files: 1000000 Ops per sec > Higher Is Better a . 37215 |==================================================================== b . 37399 |==================================================================== Apache Hadoop 3.3.6 Operation: Create - Threads: 20 - Files: 100000 Ops per sec > Higher Is Better a . 30414 |==================================================================== b . 30562 |==================================================================== libavif avifenc 1.0 Encoder Speed: 2 Seconds < Lower Is Better a . 98.74 |==================================================================== b . 99.22 |==================================================================== AOM AV1 3.7 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 48.93 |==================================================================== b . 49.16 |==================================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 point/sec > Higher Is Better a . 1114870.96 |=============================================================== b . 1109745.49 |=============================================================== AOM AV1 3.7 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 4.39 |===================================================================== b . 4.41 |===================================================================== SVT-AV1 1.7 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 65.33 |==================================================================== b . 65.06 |==================================================================== OSPRay 2.12 Benchmark: particle_volume/pathtracer/real_time Items Per Second > Higher Is Better a . 84.96 |==================================================================== b . 84.61 |==================================================================== NCNN 20230517 Target: CPU - Model: vision_transformer ms < Lower Is Better a . 119.47 |=================================================================== b . 119.25 |=================================================================== b . 119.73 |=================================================================== Whisper.cpp 1.4 Model: ggml-base.en - Input: 2016 State of the Union Seconds < Lower Is Better a . 193.33 |=================================================================== b . 192.58 |=================================================================== Blender 3.6 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 268.88 |=================================================================== b . 267.96 |=================================================================== OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Items Per Second > Higher Is Better a . 1.08258 |================================================================== b . 1.07948 |================================================================== libavif avifenc 1.0 Encoder Speed: 0 Seconds < Lower Is Better a . 216.92 |=================================================================== b . 216.33 |=================================================================== Laghos 3.1 Test: Triple Point Problem Major Kernels Total Rate > Higher Is Better a . 69.92 |==================================================================== b . 70.11 |==================================================================== OSPRay 2.12 Benchmark: particle_volume/ao/real_time Items Per Second > Higher Is Better a . 2.39540 |================================================================== b . 2.38922 |================================================================== SQLite 3.41.2 Threads / Copies: 2 Seconds < Lower Is Better a . 14.22 |==================================================================== b . 14.18 |==================================================================== VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Fast Frames Per Second > Higher Is Better a . 2.929 |==================================================================== b . 2.922 |==================================================================== Liquid-DSP 1.6 Threads: 16 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better a . 453440000 |================================================================ b . 454500000 |================================================================ SQLite 3.41.2 Threads / Copies: 8 Seconds < Lower Is Better a . 30.77 |==================================================================== b . 30.84 |==================================================================== SQLite 3.41.2 Threads / Copies: 4 Seconds < Lower Is Better a . 20.21 |==================================================================== b . 20.26 |==================================================================== Embree 4.1 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better a . 7.7016 |=================================================================== b . 7.6863 |=================================================================== NCNN 20230517 Target: CPU - Model: vgg16 ms < Lower Is Better a . 66.10 |==================================================================== b . 65.97 |==================================================================== b . 66.00 |==================================================================== Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 2114013.28 |=============================================================== b . 2118030.30 |=============================================================== Apache CouchDB 3.3.2 Bulk Size: 100 - Inserts: 3000 - Rounds: 30 Seconds < Lower Is Better a . 345.93 |=================================================================== b . 345.28 |=================================================================== Liquid-DSP 1.6 Threads: 16 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 359490000 |================================================================ b . 360090000 |================================================================ Embree 4.1 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 8.0383 |=================================================================== b . 8.0251 |=================================================================== Embree 4.1 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 9.0562 |=================================================================== b . 9.0709 |=================================================================== libavif avifenc 1.0 Encoder Speed: 6 Seconds < Lower Is Better a . 9.844 |==================================================================== b . 9.829 |==================================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 Average Latency < Lower Is Better a . 195.93 |=================================================================== b . 195.65 |=================================================================== libavif avifenc 1.0 Encoder Speed: 6, Lossless Seconds < Lower Is Better a . 14.32 |==================================================================== b . 14.34 |==================================================================== Blender 3.6 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 222.32 |=================================================================== b . 222.01 |=================================================================== srsRAN Project 23.5 Test: PUSCH Processor Benchmark, Throughput Total Mbps > Higher Is Better a . 1086.3 |=================================================================== b . 1087.8 |=================================================================== QMCPACK 3.16 Input: FeCO6_b3lyp_gms Total Execution Time - Seconds < Lower Is Better a . 217.41 |=================================================================== b . 217.70 |=================================================================== SVT-AV1 1.7 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 25.08 |==================================================================== b . 25.11 |==================================================================== High Performance Conjugate Gradient 3.1 X Y Z: 104 104 104 - RT: 60 GFLOP/s > Higher Is Better a . 3.72644 |================================================================== b . 3.72181 |================================================================== AOM AV1 3.7 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 9.19 |===================================================================== b . 9.20 |===================================================================== OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Items Per Second > Higher Is Better a . 1.78875 |================================================================== b . 1.78690 |================================================================== SVT-AV1 1.7 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 2.032 |==================================================================== b . 2.034 |==================================================================== Embree 4.1 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better a . 10.09 |==================================================================== b . 10.10 |==================================================================== AOM AV1 3.7 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 11.08 |==================================================================== b . 11.09 |==================================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 Average Latency < Lower Is Better a . 76.93 |==================================================================== b . 76.98 |==================================================================== Embree 4.1 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better a . 8.5381 |=================================================================== b . 8.5330 |=================================================================== QMCPACK 3.16 Input: FeCO6_b3lyp_gms Total Execution Time - Seconds < Lower Is Better a . 226.23 |=================================================================== b . 226.10 |=================================================================== srsRAN Project 23.5 Test: PUSCH Processor Benchmark, Throughput Thread Mbps > Higher Is Better a . 252.1 |==================================================================== b . 252.0 |==================================================================== Liquid-DSP 1.6 Threads: 16 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better a . 98281000 |================================================================= b . 98255000 |================================================================= OSPRay 2.12 Benchmark: particle_volume/scivis/real_time Items Per Second > Higher Is Better a . 2.34921 |================================================================== b . 2.34979 |================================================================== SQLite 3.41.2 Threads / Copies: 16 Seconds < Lower Is Better a . 51.56 |==================================================================== b . 51.57 |==================================================================== Blender 3.6 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a . 564.46 |=================================================================== b . 564.54 |=================================================================== dav1d 1.2.1 Video Input: Summer Nature 4K FPS > Higher Is Better a . 142.87 |=================================================================== b . 142.85 |=================================================================== Apache Hadoop 3.3.6 Operation: Rename - Threads: 100 - Files: 100000 Ops per sec > Higher Is Better a . 68681 |==================================================================== b . 68681 |==================================================================== Intel Open Image Denoise 2.0 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.13 |===================================================================== b . 0.13 |===================================================================== Intel Open Image Denoise 2.0 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.25 |===================================================================== b . 0.25 |===================================================================== AOM AV1 3.7 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 0.43 |===================================================================== b . 0.43 |===================================================================== AOM AV1 3.7 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 0.14 |===================================================================== b . 0.14 |=====================================================================