sssa

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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2309117-NE-SSSA9358544
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AV1 4 Tests
C++ Boost Tests 3 Tests
C/C++ Compiler Tests 3 Tests
CPU Massive 6 Tests
Creator Workloads 11 Tests
Database Test Suite 7 Tests
Encoding 5 Tests
Game Development 2 Tests
HPC - High Performance Computing 5 Tests
Java Tests 3 Tests
Machine Learning 3 Tests
MPI Benchmarks 2 Tests
Multi-Core 11 Tests
NVIDIA GPU Compute 2 Tests
Intel oneAPI 3 Tests
OpenMPI Tests 4 Tests
Python Tests 3 Tests
Renderers 2 Tests
Software Defined Radio 2 Tests
Server 7 Tests
Server CPU Tests 4 Tests
Video Encoding 5 Tests
Common Workstation Benchmarks 2 Tests

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September 10 2023
  5 Hours, 44 Minutes
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  5 Hours, 48 Minutes
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sssa Suite 1.0.0 System Test suite extracted from sssa. pts/sqlite-2.2.0 1 Threads / Copies: 1 pts/sqlite-2.2.0 2 Threads / Copies: 2 pts/sqlite-2.2.0 4 Threads / Copies: 4 pts/sqlite-2.2.0 8 Threads / Copies: 8 pts/sqlite-2.2.0 16 Threads / Copies: 16 pts/xonotic-1.7.0 +vid_width 1920 +vid_height 1080 +exec effects-low.cfg Resolution: 1920 x 1080 - Effects Quality: Low pts/xonotic-1.7.0 +vid_width 1920 +vid_height 1080 +exec effects-high.cfg Resolution: 1920 x 1080 - Effects Quality: High pts/xonotic-1.7.0 +vid_width 1920 +vid_height 1080 +exec effects-ultra.cfg Resolution: 1920 x 1080 - Effects Quality: Ultra pts/xonotic-1.7.0 +vid_width 1920 +vid_height 1080 +exec effects-ultimate.cfg Resolution: 1920 x 1080 - Effects Quality: Ultimate pts/quantlib-1.1.0 pts/hpcg-1.3.0 --nx=104 --ny=104 --nz=104 --rt=60 X Y Z: 104 104 104 - RT: 60 pts/libxsmm-1.0.1 32 32 32 M N K: 32 pts/libxsmm-1.0.1 64 64 64 M N K: 64 pts/laghos-1.0.0 -p 3 -m data/box01_hex.mesh -rs 2 -tf 5.0 -vis -pa Test: Triple Point Problem pts/laghos-1.0.0 -p 1 -m data/cube_922_hex.mesh -rs 2 -tf 0.6 -no-vis -pa Test: Sedov Blast Wave, ube_922_hex.mesh pts/palabos-1.0.0 100 Grid Size: 100 pts/palabos-1.0.0 400 Grid Size: 400 pts/palabos-1.0.0 500 Grid Size: 500 pts/qmcpack-1.6.0 tests/molecules/Li2_STO_ae Li2.STO.long.in.xml Input: Li2_STO_ae pts/qmcpack-1.6.0 build/examples/molecules/H2O/example_H2O-1-1 simple-H2O.xml Input: simple-H2O pts/qmcpack-1.6.0 tests/molecules/FeCO6_b3lyp_gms vmc_long_noj.in.xml Input: FeCO6_b3lyp_gms pts/qmcpack-1.6.0 tests/molecules/O_ae_pyscf_UHF vmc_long_noj.in.xml Input: FeCO6_b3lyp_gms pts/z3-1.0.0 1.smt2 SMT File: 1.smt2 pts/z3-1.0.0 2.smt2 SMT File: 2.smt2 pts/srsran-2.1.0 tests/benchmarks/phy/upper/downlink_processor_benchmark -R 50000 -P pdsch_scs15_50MHz_256qam_max Test: Downlink Processor Benchmark pts/srsran-2.1.0 tests/benchmarks/phy/upper/channel_processors/pusch_processor_benchmark -m throughput_total -R 100 -P pusch_scs15_50MHz_256qam_max Test: PUSCH Processor Benchmark, Throughput Total pts/srsran-2.1.0 tests/benchmarks/phy/upper/channel_processors/pusch_processor_benchmark -m throughput_thread -R 100 -P pusch_scs15_50MHz_256qam_max -T 1 Test: PUSCH Processor Benchmark, Throughput Thread pts/dav1d-1.14.0 -i chimera_8b_1080p.ivf Video Input: Chimera 1080p pts/dav1d-1.14.0 -i summer_nature_4k.ivf Video Input: Summer Nature 4K pts/dav1d-1.14.0 -i summer_nature_1080p.ivf Video Input: Summer Nature 1080p pts/dav1d-1.14.0 -i chimera_10b_1080p.ivf Video Input: Chimera 1080p 10-bit pts/aom-av1-3.7.0 --cpu-used=0 --limit=20 Bosphorus_3840x2160.y4m Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K pts/aom-av1-3.7.0 --cpu-used=4 Bosphorus_3840x2160.y4m Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K pts/aom-av1-3.7.0 --cpu-used=6 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K pts/aom-av1-3.7.0 --cpu-used=6 Bosphorus_3840x2160.y4m Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K pts/aom-av1-3.7.0 --cpu-used=8 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K pts/aom-av1-3.7.0 --cpu-used=9 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K pts/aom-av1-3.7.0 --cpu-used=10 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K pts/aom-av1-3.7.0 --cpu-used=11 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 11 Realtime - Input: Bosphorus 4K pts/aom-av1-3.7.0 --cpu-used=0 --limit=20 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p pts/aom-av1-3.7.0 --cpu-used=4 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p pts/aom-av1-3.7.0 --cpu-used=6 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p pts/aom-av1-3.7.0 --cpu-used=6 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p pts/aom-av1-3.7.0 --cpu-used=8 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p pts/aom-av1-3.7.0 --cpu-used=9 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p pts/aom-av1-3.7.0 --cpu-used=10 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p pts/aom-av1-3.7.0 --cpu-used=11 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 11 Realtime - Input: Bosphorus 1080p pts/embree-1.5.0 pathtracer -c crown/crown.ecs Binary: Pathtracer - Model: Crown pts/embree-1.5.0 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/embree-1.5.0 pathtracer -c asian_dragon/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon pts/embree-1.5.0 pathtracer -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon Obj pts/embree-1.5.0 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon pts/embree-1.5.0 pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon Obj pts/svt-av1-2.10.0 --preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 4 - Input: Bosphorus 4K pts/svt-av1-2.10.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/svt-av1-2.10.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/svt-av1-2.10.0 --preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 13 - Input: Bosphorus 4K pts/svt-av1-2.10.0 --preset 4 -n 160 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 4 - Input: Bosphorus 1080p pts/svt-av1-2.10.0 --preset 8 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 8 - Input: Bosphorus 1080p pts/svt-av1-2.10.0 --preset 12 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 12 - Input: Bosphorus 1080p pts/svt-av1-2.10.0 --preset 13 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 13 - Input: Bosphorus 1080p pts/vvenc-1.9.1 -i Bosphorus_3840x2160.y4m --preset fast Video Input: Bosphorus 4K - Video Preset: Fast pts/vvenc-1.9.1 -i Bosphorus_3840x2160.y4m --preset faster Video Input: Bosphorus 4K - Video Preset: Faster pts/vvenc-1.9.1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset fast Video Input: Bosphorus 1080p - Video Preset: Fast pts/vvenc-1.9.1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset faster Video Input: Bosphorus 1080p - Video Preset: Faster pts/oidn-2.0.0 -r RT.hdr_alb_nrm.3840x2160 -d cpu Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only pts/oidn-2.0.0 -r RT.ldr_alb_nrm.3840x2160 -d cpu Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only pts/oidn-2.0.0 -r RTLightmap.hdr.4096x4096 -d cpu Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only pts/ospray-2.12.0 --benchmark_filter=particle_volume/ao/real_time Benchmark: particle_volume/ao/real_time pts/ospray-2.12.0 --benchmark_filter=particle_volume/scivis/real_time Benchmark: particle_volume/scivis/real_time pts/ospray-2.12.0 --benchmark_filter=particle_volume/pathtracer/real_time Benchmark: particle_volume/pathtracer/real_time pts/ospray-2.12.0 --benchmark_filter=gravity_spheres_volume/dim_512/ao/real_time Benchmark: gravity_spheres_volume/dim_512/ao/real_time pts/ospray-2.12.0 --benchmark_filter=gravity_spheres_volume/dim_512/scivis/real_time Benchmark: gravity_spheres_volume/dim_512/scivis/real_time pts/ospray-2.12.0 --benchmark_filter=gravity_spheres_volume/dim_512/pathtracer/real_time Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time pts/avifenc-1.4.0 -s 0 Encoder Speed: 0 pts/avifenc-1.4.0 -s 2 Encoder Speed: 2 pts/avifenc-1.4.0 -s 6 Encoder Speed: 6 pts/avifenc-1.4.0 -s 6 -l Encoder Speed: 6, Lossless pts/avifenc-1.4.0 -s 10 -l Encoder Speed: 10, Lossless pts/espeak-1.7.0 Text-To-Speech Synthesis pts/liquid-dsp-1.6.0 -n 16 -b 256 -f 32 Threads: 16 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 16 -b 256 -f 57 Threads: 16 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 16 -b 256 -f 512 Threads: 16 - Buffer Length: 256 - Filter Length: 512 pts/couchdb-1.3.0 100 1000 30 Bulk Size: 100 - Inserts: 1000 - Rounds: 30 pts/couchdb-1.3.0 100 3000 30 Bulk Size: 100 - Inserts: 3000 - Rounds: 30 pts/couchdb-1.3.0 300 1000 30 Bulk Size: 300 - Inserts: 1000 - Rounds: 30 pts/couchdb-1.3.0 300 3000 30 Bulk Size: 300 - Inserts: 3000 - Rounds: 30 pts/couchdb-1.3.0 500 1000 30 Bulk Size: 500 - Inserts: 1000 - Rounds: 30 pts/couchdb-1.3.0 500 3000 30 Bulk Size: 500 - Inserts: 3000 - Rounds: 30 pts/apache-iotdb-1.0.1 100 1 200 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 pts/apache-iotdb-1.0.1 100 1 500 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 pts/apache-iotdb-1.0.1 200 1 200 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 pts/apache-iotdb-1.0.1 200 1 500 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 pts/apache-iotdb-1.0.1 500 1 200 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 pts/apache-iotdb-1.0.1 500 1 500 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 pts/apache-iotdb-1.0.1 100 100 200 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 pts/apache-iotdb-1.0.1 100 100 500 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 pts/apache-iotdb-1.0.1 200 100 200 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 pts/apache-iotdb-1.0.1 200 100 500 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 pts/apache-iotdb-1.0.1 500 100 200 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 pts/apache-iotdb-1.0.1 500 100 500 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 pts/dragonflydb-1.1.0 -c 10 --ratio=1:10 Clients Per Thread: 10 - Set To Get Ratio: 1:10 pts/dragonflydb-1.1.0 -c 20 --ratio=1:10 Clients Per Thread: 20 - Set To Get Ratio: 1:10 pts/dragonflydb-1.1.0 -c 50 --ratio=1:10 Clients Per Thread: 50 - Set To Get Ratio: 1:10 pts/dragonflydb-1.1.0 -c 60 --ratio=1:10 Clients Per Thread: 60 - Set To Get Ratio: 1:10 pts/dragonflydb-1.1.0 -c 10 --ratio=1:100 Clients Per Thread: 10 - Set To Get Ratio: 1:100 pts/dragonflydb-1.1.0 -c 100 --ratio=1:10 Clients Per Thread: 100 - Set To Get Ratio: 1:10 pts/dragonflydb-1.1.0 -c 20 --ratio=1:100 Clients Per Thread: 20 - Set To Get Ratio: 1:100 pts/dragonflydb-1.1.0 -c 50 --ratio=1:100 Clients Per Thread: 50 - Set To Get Ratio: 1:100 pts/dragonflydb-1.1.0 -c 60 --ratio=1:100 Clients Per Thread: 60 - Set To Get Ratio: 1:100 pts/dragonflydb-1.1.0 -c 100 --ratio=1:100 Clients Per Thread: 100 - Set To Get Ratio: 1:100 pts/deepsparse-1.5.2 zoo:nlp/question_answering/obert-large/pytorch/huggingface/squad/base-none --input_shapes='[1,128]' --scenario async Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.2 zoo:nlp/question_answering/obert-large/pytorch/huggingface/squad/base-none --input_shapes='[1,128]' --scenario sync Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream pts/memtier-benchmark-1.5.0 -P redis -c 50 --ratio=1:5 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 pts/memtier-benchmark-1.5.0 -P redis -c 100 --ratio=1:5 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 pts/memtier-benchmark-1.5.0 -P redis -c 50 --ratio=1:10 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 pts/memtier-benchmark-1.5.0 -P redis -c 100 --ratio=1:10 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 pts/stress-ng-1.11.0 --crypt -1 --no-rand-seed Test: Crypto pts/stress-ng-1.11.0 --cpu -1 --cpu-method all --no-rand-seed Test: CPU Stress pts/stress-ng-1.11.0 --vnni -1 Test: AVX-512 VNNI pts/stress-ng-1.11.0 --schedmix -1 Test: Mixed Scheduler pts/ncnn-1.5.0 -1 Target: CPU - Model: mobilenet pts/ncnn-1.5.0 -1 Target: CPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.5.0 -1 Target: CPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.5.0 -1 Target: CPU - Model: shufflenet-v2 pts/ncnn-1.5.0 -1 Target: CPU - Model: mnasnet pts/ncnn-1.5.0 -1 Target: CPU - Model: efficientnet-b0 pts/ncnn-1.5.0 -1 Target: CPU - Model: blazeface pts/ncnn-1.5.0 -1 Target: CPU - Model: googlenet pts/ncnn-1.5.0 -1 Target: CPU - Model: vgg16 pts/ncnn-1.5.0 -1 Target: CPU - Model: resnet18 pts/ncnn-1.5.0 -1 Target: CPU - Model: alexnet pts/ncnn-1.5.0 -1 Target: CPU - Model: resnet50 pts/ncnn-1.5.0 -1 Target: CPU - Model: yolov4-tiny pts/ncnn-1.5.0 -1 Target: CPU - Model: squeezenet_ssd pts/ncnn-1.5.0 -1 Target: CPU - Model: regnety_400m pts/ncnn-1.5.0 -1 Target: CPU - Model: vision_transformer pts/ncnn-1.5.0 -1 Target: CPU - Model: FastestDet pts/blender-3.6.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: BMW27 - Compute: CPU-Only pts/blender-3.6.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Classroom - Compute: CPU-Only pts/blender-3.6.0 -b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Fishy Cat - Compute: CPU-Only pts/blender-3.6.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Barbershop - Compute: CPU-Only pts/blender-3.6.0 -b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Pabellon Barcelona - Compute: CPU-Only pts/cassandra-1.2.0 WRITE Test: Writes pts/hadoop-1.0.0 -op open -threads 20 -files 100000 Operation: Open - Threads: 20 - Files: 100000 pts/hadoop-1.0.0 -op open -threads 50 -files 100000 Operation: Open - Threads: 50 - Files: 100000 pts/hadoop-1.0.0 -op open -threads 100 -files 100000 Operation: Open - Threads: 100 - Files: 100000 pts/hadoop-1.0.0 -op open -threads 20 -files 1000000 Operation: Open - Threads: 20 - Files: 1000000 pts/hadoop-1.0.0 -op open -threads 50 -files 1000000 Operation: Open - Threads: 50 - Files: 1000000 pts/hadoop-1.0.0 -op create -threads 20 -files 100000 Operation: Create - Threads: 20 - Files: 100000 pts/hadoop-1.0.0 -op create -threads 50 -files 100000 Operation: Create - Threads: 50 - Files: 100000 pts/hadoop-1.0.0 -op delete -threads 20 -files 100000 Operation: Delete - Threads: 20 - Files: 100000 pts/hadoop-1.0.0 -op delete -threads 50 -files 100000 Operation: Delete - Threads: 50 - Files: 100000 pts/hadoop-1.0.0 -op open -threads 100 -files 1000000 Operation: Open - Threads: 100 - Files: 1000000 pts/hadoop-1.0.0 -op rename -threads 20 -files 100000 Operation: Rename - Threads: 20 - Files: 100000 pts/hadoop-1.0.0 -op rename -threads 50 -files 100000 Operation: Rename - Threads: 50 - Files: 100000 pts/hadoop-1.0.0 -op create -threads 100 -files 100000 Operation: Create - Threads: 100 - Files: 100000 pts/hadoop-1.0.0 -op create -threads 20 -files 1000000 Operation: Create - Threads: 20 - Files: 1000000 pts/hadoop-1.0.0 -op create -threads 50 -files 1000000 Operation: Create - Threads: 50 - Files: 1000000 pts/hadoop-1.0.0 -op delete -threads 100 -files 100000 Operation: Delete - Threads: 100 - Files: 100000 pts/hadoop-1.0.0 -op delete -threads 20 -files 1000000 Operation: Delete - Threads: 20 - Files: 1000000 pts/hadoop-1.0.0 -op delete -threads 50 -files 1000000 Operation: Delete - Threads: 50 - Files: 1000000 pts/hadoop-1.0.0 -op rename -threads 100 -files 100000 Operation: Rename - Threads: 100 - Files: 100000 pts/hadoop-1.0.0 -op rename -threads 20 -files 1000000 Operation: Rename - Threads: 20 - Files: 1000000 pts/hadoop-1.0.0 -op rename -threads 50 -files 1000000 Operation: Rename - Threads: 50 - Files: 1000000 pts/hadoop-1.0.0 -op create -threads 100 -files 1000000 Operation: Create - Threads: 100 - Files: 1000000 pts/hadoop-1.0.0 -op delete -threads 100 -files 1000000 Operation: Delete - Threads: 100 - Files: 1000000 pts/hadoop-1.0.0 -op rename -threads 100 -files 1000000 Operation: Rename - Threads: 100 - Files: 1000000 pts/hadoop-1.0.0 -op fileStatus -threads 20 -files 100000 Operation: File Status - Threads: 20 - Files: 100000 pts/hadoop-1.0.0 -op fileStatus -threads 50 -files 100000 Operation: File Status - Threads: 50 - Files: 100000 pts/hadoop-1.0.0 -op fileStatus -threads 100 -files 100000 Operation: File Status - Threads: 100 - Files: 100000 pts/hadoop-1.0.0 -op fileStatus -threads 20 -files 1000000 Operation: File Status - Threads: 20 - Files: 1000000 pts/hadoop-1.0.0 -op fileStatus -threads 50 -files 1000000 Operation: File Status - Threads: 50 - Files: 1000000 pts/hadoop-1.0.0 -op fileStatus -threads 100 -files 1000000 Operation: File Status - Threads: 100 - Files: 1000000 pts/whisper-cpp-1.0.0 -m models/ggml-base.en.bin -f ../2016-state-of-the-union.wav Model: ggml-base.en - Input: 2016 State of the Union pts/whisper-cpp-1.0.0 -m models/ggml-small.en.bin -f ../2016-state-of-the-union.wav Model: ggml-small.en - Input: 2016 State of the Union pts/brl-cad-1.5.0 VGR Performance Metric