Intel Core i7-8565U testing with a Dell 0KTW76 (1.17.0 BIOS) and Intel UHD 620 WHL GT2 15GB on Ubuntu 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 2308067-NE-DDDXXX42317
dddxxx
Intel Core i7-8565U testing with a Dell 0KTW76 (1.17.0 BIOS) and Intel UHD 620 WHL GT2 15GB on Ubuntu 22.04 via the Phoronix Test Suite.
a:
Processor: Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads), Motherboard: Dell 0KTW76 (1.17.0 BIOS), Chipset: Intel Cannon Point-LP, Memory: 16GB, Disk: SK hynix PC401 NVMe 256GB, Graphics: Intel UHD 620 WHL GT2 15GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac
OS: Ubuntu 22.04, Kernel: 5.19.0-rc6-phx-retbleed (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080
b:
Processor: Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads), Motherboard: Dell 0KTW76 (1.17.0 BIOS), Chipset: Intel Cannon Point-LP, Memory: 16GB, Disk: SK hynix PC401 NVMe 256GB, Graphics: Intel UHD 620 WHL GT2 15GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac
OS: Ubuntu 22.04, Kernel: 5.19.0-rc6-phx-retbleed (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1080
Apache IoTDB 1.1.2
Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200
Average Latency > Higher Is Better
a . 22.62 |===================================================================
b . 22.93 |====================================================================
Apache IoTDB 1.1.2
Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500
Average Latency > Higher Is Better
a . 34.81 |====================================================================
b . 34.48 |===================================================================
Apache IoTDB 1.1.2
Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200
Average Latency > Higher Is Better
a . 17.34 |====================================================================
b . 16.68 |=================================================================
Apache IoTDB 1.1.2
Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500
Average Latency > Higher Is Better
a . 29.65 |====================================================================
b . 29.75 |====================================================================
Apache IoTDB 1.1.2
Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200
Average Latency > Higher Is Better
a . 15.75 |====================================================================
b . 15.11 |=================================================================
Apache IoTDB 1.1.2
Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500
Average Latency > Higher Is Better
a . 75.40 |====================================================================
b . 70.46 |================================================================
Apache IoTDB 1.1.2
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200
Average Latency > Higher Is Better
a . 107.84 |===================================================================
b . 104.43 |=================================================================
Apache IoTDB 1.1.2
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500
Average Latency > Higher Is Better
a . 342.21 |===========================================================
b . 387.15 |===================================================================
Apache IoTDB 1.1.2
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200
Average Latency > Higher Is Better
a . 144.53 |===================================================================
b . 143.24 |==================================================================
Apache IoTDB 1.1.2
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500
Average Latency > Higher Is Better
a . 550.47 |===================================================================
b . 485.93 |===========================================================
Apache IoTDB 1.1.2
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200
Average Latency > Higher Is Better
a . 212.43 |===================================================================
b . 198.41 |===============================================================
Apache IoTDB 1.1.2
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500
Average Latency > Higher Is Better
a . 984.70 |===============================================================
b . 1026.93 |==================================================================
Stress-NG 0.15.10
Test: Hash
Bogo Ops/s > Higher Is Better
a . 523699.70 |====================================================
b . 638650.51 |================================================================
Stress-NG 0.15.10
Test: MMAP
Bogo Ops/s > Higher Is Better
a . 20.86 |==================================================
b . 28.46 |====================================================================
Stress-NG 0.15.10
Test: NUMA
Bogo Ops/s > Higher Is Better
a . 53.95 |=============================================================
b . 60.49 |====================================================================
Stress-NG 0.15.10
Test: Pipe
Bogo Ops/s > Higher Is Better
a . 1422109.84 |==========================================================
b . 1533355.11 |===============================================================
Stress-NG 0.15.10
Test: Poll
Bogo Ops/s > Higher Is Better
a . 284300.80 |=========================================================
b . 318466.50 |================================================================
Stress-NG 0.15.10
Test: Zlib
Bogo Ops/s > Higher Is Better
a . 273.05 |======================================================
b . 335.91 |===================================================================
Stress-NG 0.15.10
Test: Futex
Bogo Ops/s > Higher Is Better
a . 486078.68 |==================================================
b . 624014.17 |================================================================
Stress-NG 0.15.10
Test: MEMFD
Bogo Ops/s > Higher Is Better
a . 56.59 |====================================================================
b . 43.09 |====================================================
Stress-NG 0.15.10
Test: Mutex
Bogo Ops/s > Higher Is Better
a . 604156.72 |========================================================
b . 694562.47 |================================================================
Stress-NG 0.15.10
Test: Atomic
Bogo Ops/s > Higher Is Better
a . 224.51 |============================================================
b . 249.99 |===================================================================
Stress-NG 0.15.10
Test: Crypto
Bogo Ops/s > Higher Is Better
a . 4590.53 |=====================================================
b . 5684.53 |==================================================================
Stress-NG 0.15.10
Test: Malloc
Bogo Ops/s > Higher Is Better
a . 375933.99 |=======================================================
b . 434156.10 |================================================================
Stress-NG 0.15.10
Test: Cloning
Bogo Ops/s > Higher Is Better
a . 669.41 |===============================================================
b . 715.58 |===================================================================
Stress-NG 0.15.10
Test: Forking
Bogo Ops/s > Higher Is Better
a . 9551.79 |===================================================
b . 12140.60 |=================================================================
Stress-NG 0.15.10
Test: Pthread
Bogo Ops/s > Higher Is Better
a . 34974.26 |======================================================
b . 42229.61 |=================================================================
Stress-NG 0.15.10
Test: AVL Tree
Bogo Ops/s > Higher Is Better
a . 16.41 |==========================================================
b . 19.30 |====================================================================
Stress-NG 0.15.10
Test: IO_uring
Bogo Ops/s > Higher Is Better
a . 170492.16 |============================================================
b . 182936.68 |================================================================
Stress-NG 0.15.10
Test: SENDFILE
Bogo Ops/s > Higher Is Better
a . 36779.86 |=======================================================
b . 43752.37 |=================================================================
Stress-NG 0.15.10
Test: CPU Cache
Bogo Ops/s > Higher Is Better
a . 929178.43 |===================================================
b . 1153192.75 |===============================================================
Stress-NG 0.15.10
Test: CPU Stress
Bogo Ops/s > Higher Is Better
a . 7310.05 |=============================================================
b . 7866.40 |==================================================================
Stress-NG 0.15.10
Test: Semaphores
Bogo Ops/s > Higher Is Better
a . 3218725.51 |===============================================================
b . 3241408.21 |===============================================================
Stress-NG 0.15.10
Test: Matrix Math
Bogo Ops/s > Higher Is Better
a . 17318.70 |=================================================================
b . 17116.79 |================================================================
Stress-NG 0.15.10
Test: Vector Math
Bogo Ops/s > Higher Is Better
a . 12666.19 |=================================================================
b . 12444.33 |================================================================
Stress-NG 0.15.10
Test: Function Call
Bogo Ops/s > Higher Is Better
a . 2058.70 |===============================================================
b . 2164.20 |==================================================================
Stress-NG 0.15.10
Test: x86_64 RdRand
Bogo Ops/s > Higher Is Better
a . 3267.31 |==================================================================
b . 3134.04 |===============================================================
Stress-NG 0.15.10
Test: Floating Point
Bogo Ops/s > Higher Is Better
a . 743.83 |=================================================================
b . 762.86 |===================================================================
Stress-NG 0.15.10
Test: Matrix 3D Math
Bogo Ops/s > Higher Is Better
a . 383.49 |=================================================================
b . 396.03 |===================================================================
Stress-NG 0.15.10
Test: Memory Copying
Bogo Ops/s > Higher Is Better
a . 1078.73 |=================================================================
b . 1088.75 |==================================================================
Stress-NG 0.15.10
Test: Vector Shuffle
Bogo Ops/s > Higher Is Better
a . 2431.22 |==================================================================
b . 2431.01 |==================================================================
Stress-NG 0.15.10
Test: Socket Activity
Bogo Ops/s > Higher Is Better
a . 2495.57 |==================================================================
b . 2508.63 |==================================================================
Stress-NG 0.15.10
Test: Wide Vector Math
Bogo Ops/s > Higher Is Better
a . 147314.85 |================================================================
b . 148388.79 |================================================================
Stress-NG 0.15.10
Test: Context Switching
Bogo Ops/s > Higher Is Better
a . 705297.96 |==============================================================
b . 733269.79 |================================================================
Stress-NG 0.15.10
Test: Fused Multiply-Add
Bogo Ops/s > Higher Is Better
a . 2978232.73 |===============================================================
b . 2737483.30 |==========================================================
Stress-NG 0.15.10
Test: Vector Floating Point
Bogo Ops/s > Higher Is Better
a . 7289.32 |=============================================================
b . 7877.70 |==================================================================
Stress-NG 0.15.10
Test: Glibc C String Functions
Bogo Ops/s > Higher Is Better
a . 2485856.07 |===============================================================
b . 2360589.10 |============================================================
Stress-NG 0.15.10
Test: Glibc Qsort Data Sorting
Bogo Ops/s > Higher Is Better
a . 69.13 |===============================================================
b . 74.13 |====================================================================
Stress-NG 0.15.10
Test: System V Message Passing
Bogo Ops/s > Higher Is Better
a . 2652462.62 |===============================================================
b . 2519916.10 |============================================================
dav1d 1.2.1
Video Input: Chimera 1080p
FPS > Higher Is Better
a . 244.12 |==================================================================
b . 249.62 |===================================================================
dav1d 1.2.1
Video Input: Summer Nature 4K
FPS > Higher Is Better
a . 67.01 |====================================================================
b . 66.38 |===================================================================
dav1d 1.2.1
Video Input: Summer Nature 1080p
FPS > Higher Is Better
a . 273.35 |===========================================================
b . 310.94 |===================================================================
dav1d 1.2.1
Video Input: Chimera 1080p 10-bit
FPS > Higher Is Better
a . 191.30 |===================================================================
b . 190.87 |===================================================================
Xonotic 0.8.6
Resolution: 1920 x 1080 - Effects Quality: Low
Frames Per Second > Higher Is Better
a . 205.61 |===================================================================
b . 205.45 |===================================================================
Xonotic 0.8.6
Resolution: 1920 x 1080 - Effects Quality: High
Frames Per Second > Higher Is Better
a . 91.11 |====================================================================
b . 90.91 |====================================================================
Xonotic 0.8.6
Resolution: 1920 x 1080 - Effects Quality: Ultra
Frames Per Second > Higher Is Better
a . 77.93 |====================================================================
b . 77.52 |====================================================================
Xonotic 0.8.6
Resolution: 1920 x 1080 - Effects Quality: Ultimate
Frames Per Second > Higher Is Better
a . 59.17 |====================================================================
b . 58.95 |====================================================================
Embree 4.1
Binary: Pathtracer - Model: Crown
Frames Per Second > Higher Is Better
a . 3.5218 |===================================================================
b . 3.4542 |==================================================================
Embree 4.1
Binary: Pathtracer ISPC - Model: Crown
Frames Per Second > Higher Is Better
a . 3.7369 |===================================================================
b . 3.6962 |==================================================================
Embree 4.1
Binary: Pathtracer - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 4.2183 |===================================================================
b . 4.1998 |===================================================================
Embree 4.1
Binary: Pathtracer - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
a . 3.8229 |===================================================================
b . 3.8503 |===================================================================
Embree 4.1
Binary: Pathtracer ISPC - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 4.7883 |===================================================================
b . 4.7636 |===================================================================
Embree 4.1
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
a . 4.1670 |===================================================================
b . 3.9923 |================================================================
SVT-AV1 1.6
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 1.092 |====================================================================
b . 0.948 |===========================================================
SVT-AV1 1.6
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 9.490 |====================================================================
b . 9.436 |====================================================================
SVT-AV1 1.6
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 35.50 |====================================================================
b . 28.98 |========================================================
SVT-AV1 1.6
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 34.05 |====================================================================
b . 30.98 |==============================================================
SVT-AV1 1.6
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 4.260 |=============================================================
b . 4.773 |====================================================================
SVT-AV1 1.6
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 35.74 |====================================================================
b . 31.01 |===========================================================
SVT-AV1 1.6
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 154.60 |==================================================================
b . 157.69 |===================================================================
SVT-AV1 1.6
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 202.85 |==================================================================
b . 206.77 |===================================================================
VVenC 1.9
Video Input: Bosphorus 4K - Video Preset: Fast
Frames Per Second > Higher Is Better
a . 1.180 |====================================================================
b . 1.170 |===================================================================
VVenC 1.9
Video Input: Bosphorus 4K - Video Preset: Faster
Frames Per Second > Higher Is Better
a . 2.693 |====================================================================
b . 2.672 |===================================================================
VVenC 1.9
Video Input: Bosphorus 1080p - Video Preset: Fast
Frames Per Second > Higher Is Better
a . 3.905 |====================================================================
b . 3.790 |==================================================================
VVenC 1.9
Video Input: Bosphorus 1080p - Video Preset: Faster
Frames Per Second > Higher Is Better
a . 9.882 |====================================================================
b . 9.868 |====================================================================
vkpeak 20230730
fp32-scalar
GFLOPS > Higher Is Better
a . 268.33 |===================================================================
b . 268.33 |===================================================================
libxsmm 2-1.17-3645
M N K: 128
GFLOPS/s > Higher Is Better
a . 79.9 |==================================================================
b . 83.7 |=====================================================================
libxsmm 2-1.17-3645
M N K: 32
GFLOPS/s > Higher Is Better
a . 47.7 |=====================================================================
b . 48.0 |=====================================================================
libxsmm 2-1.17-3645
M N K: 64
GFLOPS/s > Higher Is Better
a . 90.9 |=====================================================================
b . 90.8 |=====================================================================
Intel Open Image Denoise 2.0
Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 0.12 |=====================================================================
b . 0.12 |=====================================================================
Intel Open Image Denoise 2.0
Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 0.12 |=====================================================================
b . 0.12 |=====================================================================
Intel Open Image Denoise 2.0
Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 0.06 |=====================================================================
b . 0.06 |=====================================================================
OSPRay 2.12
Benchmark: particle_volume/ao/real_time
Items Per Second > Higher Is Better
a . 1.49334 |==================================================================
b . 1.36920 |=============================================================
OSPRay 2.12
Benchmark: particle_volume/scivis/real_time
Items Per Second > Higher Is Better
a . 1.37399 |==================================================================
b . 1.34467 |=================================================================
OSPRay 2.12
Benchmark: particle_volume/pathtracer/real_time
Items Per Second > Higher Is Better
a . 52.59 |====================================================================
b . 50.08 |=================================================================
OSPRay 2.12
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
Items Per Second > Higher Is Better
a . 0.745146 |=================================================================
b . 0.734783 |================================================================
OSPRay 2.12
Benchmark: gravity_spheres_volume/dim_512/scivis/real_time
Items Per Second > Higher Is Better
a . 0.622182 |=========================================================
b . 0.709986 |=================================================================
OSPRay 2.12
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
Items Per Second > Higher Is Better
a . 1.061640 |=================================================================
b . 1.012953 |==============================================================
Neural Magic DeepSparse 1.5
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 2.3527 |===================================================================
b . 2.3352 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 65.43 |====================================================================
b . 65.36 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 28.92 |====================================================================
b . 28.46 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 8.3009 |===================================================================
b . 8.2832 |===================================================================
Neural Magic DeepSparse 1.5
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 30.57 |====================================================================
b . 29.76 |==================================================================
Neural Magic DeepSparse 1.5
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 196.78 |===================================================================
b . 195.49 |===================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 14.67 |====================================================================
b . 14.61 |====================================================================
Neural Magic DeepSparse 1.5
Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 2.6677 |=======================================================
b . 3.2461 |===================================================================
Neural Magic DeepSparse 1.5
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 29.66 |====================================================================
b . 28.96 |==================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 12.54 |==================================================================
b . 12.95 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 17.51 |=========================================================
b . 20.73 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 2.9815 |==============================================================
b . 3.2320 |===================================================================
Neural Magic DeepSparse 1.5
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 21.30 |==========================================
b . 34.32 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 9.4553 |========================================================
b . 11.1719 |==================================================================
Neural Magic DeepSparse 1.5
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 2.0309 |=========================================================
b . 2.3883 |===================================================================
QuantLib 1.30
MFLOPS > Higher Is Better
a . 2379.8 |==================================================================
b . 2404.8 |===================================================================
Apache Cassandra 4.1.3
Test: Writes
Op/s > Higher Is Better
a . 26422 |====================================================================
b . 26438 |====================================================================
Memcached 1.6.19
Set To Get Ratio: 1:5
Ops/sec > Higher Is Better
a . 525368.39 |================================================================
b . 518308.20 |===============================================================
Memcached 1.6.19
Set To Get Ratio: 1:10
Ops/sec > Higher Is Better
a . 502050.43 |================================================================
b . 486807.49 |==============================================================
Memcached 1.6.19
Set To Get Ratio: 1:100
Ops/sec > Higher Is Better
a . 496309.76 |================================================================
b . 485922.63 |===============================================================
Redis 7.0.12 + memtier_benchmark 2.0
Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5
Ops/sec > Higher Is Better
a . 1039311.12 |===============================================
b . 1398883.01 |===============================================================
Redis 7.0.12 + memtier_benchmark 2.0
Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5
Ops/sec > Higher Is Better
a . 1016703.27 |===============================================
b . 1372033.18 |===============================================================
Redis 7.0.12 + memtier_benchmark 2.0
Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10
Ops/sec > Higher Is Better
a . 1109812.44 |================================================
b . 1455171.86 |===============================================================
Redis 7.0.12 + memtier_benchmark 2.0
Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5
Ops/sec > Higher Is Better
a . 890374.23 |=============================================
b . 1248610.70 |===============================================================
Redis 7.0.12 + memtier_benchmark 2.0
Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10
Ops/sec > Higher Is Better
a . 1028641.19 |===============================================
b . 1377833.48 |===============================================================
Redis 7.0.12 + memtier_benchmark 2.0
Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10
Ops/sec > Higher Is Better
a . 914462.02 |==============================================
b . 1253523.69 |===============================================================
Apache IoTDB 1.1.2
Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200
point/sec > Higher Is Better
a . 529599.00 |================================================================
b . 524660.18 |===============================================================
Apache IoTDB 1.1.2
Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500
point/sec > Higher Is Better
a . 996242.81 |==============================================================
b . 1009840.28 |===============================================================
Apache IoTDB 1.1.2
Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200
point/sec > Higher Is Better
a . 816344.20 |================================================================
b . 812170.86 |================================================================
Apache IoTDB 1.1.2
Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500
point/sec > Higher Is Better
a . 1333775.59 |===============================================================
b . 1298988.31 |=============================================================
Apache IoTDB 1.1.2
Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200
point/sec > Higher Is Better
a . 1036429.93 |===============================================================
b . 1040683.13 |===============================================================
Apache IoTDB 1.1.2
Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500
point/sec > Higher Is Better
a . 611157.73 |=============================================================
b . 637041.62 |================================================================
Apache IoTDB 1.1.2
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200
point/sec > Higher Is Better
a . 15017343.49 |============================================================
b . 15526243.84 |==============================================================
Apache IoTDB 1.1.2
Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500
point/sec > Higher Is Better
a . 13467917.31 |==============================================================
b . 12006039.14 |=======================================================
Apache IoTDB 1.1.2
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200
point/sec > Higher Is Better
a . 12613348.93 |==============================================================
b . 12464073.00 |=============================================================
Apache IoTDB 1.1.2
Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500
point/sec > Higher Is Better
a . 8609112.97 |==========================================================
b . 9394851.37 |===============================================================
Apache IoTDB 1.1.2
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200
point/sec > Higher Is Better
a . 8900311.03 |=============================================================
b . 9246224.42 |===============================================================
Apache IoTDB 1.1.2
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500
point/sec > Higher Is Better
a . 4948660.19 |===============================================================
b . 4629287.79 |===========================================================
Liquid-DSP 1.6
Threads: 1 - Buffer Length: 256 - Filter Length: 32
samples/s > Higher Is Better
a . 46516500 |=================================================================
b . 46825000 |=================================================================
Liquid-DSP 1.6
Threads: 1 - Buffer Length: 256 - Filter Length: 57
samples/s > Higher Is Better
a . 43429000 |=================================================================
b . 43427500 |=================================================================
Liquid-DSP 1.6
Threads: 2 - Buffer Length: 256 - Filter Length: 32
samples/s > Higher Is Better
a . 85550500 |=================================================================
b . 85664000 |=================================================================
Liquid-DSP 1.6
Threads: 2 - Buffer Length: 256 - Filter Length: 57
samples/s > Higher Is Better
a . 73795500 |=================================================================
b . 73620500 |=================================================================
Liquid-DSP 1.6
Threads: 4 - Buffer Length: 256 - Filter Length: 32
samples/s > Higher Is Better
a . 140280000 |================================================================
b . 139950000 |================================================================
Liquid-DSP 1.6
Threads: 4 - Buffer Length: 256 - Filter Length: 57
samples/s > Higher Is Better
a . 119590000 |================================================================
b . 112205000 |============================================================
Liquid-DSP 1.6
Threads: 8 - Buffer Length: 256 - Filter Length: 32
samples/s > Higher Is Better
a . 177945000 |=============================================================
b . 185540000 |================================================================
Liquid-DSP 1.6
Threads: 8 - Buffer Length: 256 - Filter Length: 57
samples/s > Higher Is Better
a . 140345000 |================================================================
b . 132830000 |=============================================================
Liquid-DSP 1.6
Threads: 1 - Buffer Length: 256 - Filter Length: 512
samples/s > Higher Is Better
a . 7721800 |==================================================================
b . 7710850 |==================================================================
Liquid-DSP 1.6
Threads: 2 - Buffer Length: 256 - Filter Length: 512
samples/s > Higher Is Better
a . 15179500 |=================================================================
b . 15023500 |================================================================
Liquid-DSP 1.6
Threads: 4 - Buffer Length: 256 - Filter Length: 512
samples/s > Higher Is Better
a . 25830500 |=================================================================
b . 25812500 |=================================================================
Liquid-DSP 1.6
Threads: 8 - Buffer Length: 256 - Filter Length: 512
samples/s > Higher Is Better
a . 35719000 |================================================================
b . 36523000 |=================================================================
NCNN 20230517
Target: CPU - Model: mobilenet
ms < Lower Is Better
a . 25.93 |================================================================
b . 27.68 |====================================================================
NCNN 20230517
Target: CPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
a . 6.69 |=====================================================================
b . 6.15 |===============================================================
NCNN 20230517
Target: CPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
a . 5.14 |=====================================================================
b . 4.31 |==========================================================
NCNN 20230517
Target: CPU - Model: shufflenet-v2
ms < Lower Is Better
a . 4.29 |=====================================================================
b . 3.02 |=================================================
NCNN 20230517
Target: CPU - Model: mnasnet
ms < Lower Is Better
a . 6.04 |=====================================================================
b . 4.49 |===================================================
NCNN 20230517
Target: CPU - Model: efficientnet-b0
ms < Lower Is Better
a . 9.78 |=====================================================================
b . 9.43 |===================================================================
NCNN 20230517
Target: CPU - Model: blazeface
ms < Lower Is Better
a . 0.91 |====================================================================
b . 0.93 |=====================================================================
NCNN 20230517
Target: CPU - Model: googlenet
ms < Lower Is Better
a . 16.23 |====================================================================
b . 16.19 |====================================================================
NCNN 20230517
Target: CPU - Model: vgg16
ms < Lower Is Better
a . 97.42 |===================================================================
b . 98.75 |====================================================================
NCNN 20230517
Target: CPU - Model: resnet18
ms < Lower Is Better
a . 12.61 |====================================================================
b . 12.62 |====================================================================
NCNN 20230517
Target: CPU - Model: alexnet
ms < Lower Is Better
a . 11.68 |====================================================================
b . 11.64 |====================================================================
NCNN 20230517
Target: CPU - Model: resnet50
ms < Lower Is Better
a . 36.02 |====================================================================
b . 34.33 |=================================================================
NCNN 20230517
Target: CPU - Model: yolov4-tiny
ms < Lower Is Better
a . 38.37 |==================================================================
b . 39.31 |====================================================================
NCNN 20230517
Target: CPU - Model: squeezenet_ssd
ms < Lower Is Better
a . 16.55 |====================================================================
b . 15.80 |=================================================================
NCNN 20230517
Target: CPU - Model: regnety_400m
ms < Lower Is Better
a . 10.03 |===================================================================
b . 10.12 |====================================================================
NCNN 20230517
Target: CPU - Model: vision_transformer
ms < Lower Is Better
a . 233.96 |===================================================================
b . 232.17 |==================================================================
NCNN 20230517
Target: CPU - Model: FastestDet
ms < Lower Is Better
a . 5.39 |===================================================================
b . 5.55 |=====================================================================
NCNN 20230517
Target: Vulkan GPU - Model: mobilenet
ms < Lower Is Better
a . 28.15 |====================================================================
b . 27.38 |==================================================================
NCNN 20230517
Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
a . 6.67 |=====================================================================
b . 6.67 |=====================================================================
NCNN 20230517
Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
a . 5.11 |=====================================================================
b . 5.11 |=====================================================================
NCNN 20230517
Target: Vulkan GPU - Model: shufflenet-v2
ms < Lower Is Better
a . 3.66 |=====================================================================
b . 3.67 |=====================================================================
NCNN 20230517
Target: Vulkan GPU - Model: mnasnet
ms < Lower Is Better
a . 5.23 |=====================================================================
b . 5.26 |=====================================================================
NCNN 20230517
Target: Vulkan GPU - Model: efficientnet-b0
ms < Lower Is Better
a . 9.22 |====================================================================
b . 9.34 |=====================================================================
NCNN 20230517
Target: Vulkan GPU - Model: blazeface
ms < Lower Is Better
a . 0.94 |====================================================================
b . 0.96 |=====================================================================
NCNN 20230517
Target: Vulkan GPU - Model: googlenet
ms < Lower Is Better
a . 16.29 |====================================================================
b . 16.19 |====================================================================
NCNN 20230517
Target: Vulkan GPU - Model: vgg16
ms < Lower Is Better
a . 97.70 |====================================================================
b . 96.26 |===================================================================
NCNN 20230517
Target: Vulkan GPU - Model: resnet18
ms < Lower Is Better
a . 12.73 |====================================================================
b . 12.56 |===================================================================
NCNN 20230517
Target: Vulkan GPU - Model: alexnet
ms < Lower Is Better
a . 11.67 |====================================================================
b . 11.69 |====================================================================
NCNN 20230517
Target: Vulkan GPU - Model: resnet50
ms < Lower Is Better
a . 33.18 |===================================================================
b . 33.60 |====================================================================
NCNN 20230517
Target: Vulkan GPU - Model: yolov4-tiny
ms < Lower Is Better
a . 39.39 |====================================================================
b . 39.17 |====================================================================
NCNN 20230517
Target: Vulkan GPU - Model: squeezenet_ssd
ms < Lower Is Better
a . 15.97 |====================================================================
b . 15.48 |==================================================================
NCNN 20230517
Target: Vulkan GPU - Model: regnety_400m
ms < Lower Is Better
a . 9.82 |================================================================
b . 10.41 |====================================================================
NCNN 20230517
Target: Vulkan GPU - Model: vision_transformer
ms < Lower Is Better
a . 240.03 |===================================================================
b . 235.51 |==================================================================
NCNN 20230517
Target: Vulkan GPU - Model: FastestDet
ms < Lower Is Better
a . 5.66 |=====================================================================
b . 5.47 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 855.68 |==================================================================
b . 864.99 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 30.54 |====================================================================
b . 30.57 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 69.56 |===================================================================
b . 70.82 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 244.56 |===================================================================
b . 245.64 |===================================================================
Neural Magic DeepSparse 1.5
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 65.95 |==================================================================
b . 68.00 |====================================================================
Neural Magic DeepSparse 1.5
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 10.25 |===================================================================
b . 10.34 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 137.95 |==================================================================
b . 139.05 |===================================================================
Neural Magic DeepSparse 1.5
Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 764.27 |===================================================================
b . 614.68 |======================================================
Neural Magic DeepSparse 1.5
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 68.05 |==================================================================
b . 69.62 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 162.16 |===================================================================
b . 154.26 |================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 116.27 |===================================================================
b . 98.71 |=========================================================
Neural Magic DeepSparse 1.5
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 669.18 |===================================================================
b . 628.36 |===============================================================
Neural Magic DeepSparse 1.5
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 93.85 |====================================================================
b . 58.24 |==========================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 211.98 |===================================================================
b . 179.08 |=========================================================
Neural Magic DeepSparse 1.5
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 979.18 |===================================================================
b . 835.85 |=========================================================
SQLite 3.41.2
Threads / Copies: 1
Seconds < Lower Is Better
a . 30.33 |=======================
b . 88.59 |====================================================================
SQLite 3.41.2
Threads / Copies: 2
Seconds < Lower Is Better
a . 123.47 |=================================================
b . 170.01 |===================================================================
SQLite 3.41.2
Threads / Copies: 4
Seconds < Lower Is Better
a . 125.83 |=================================================
b . 173.05 |===================================================================
Z3 Theorem Prover 4.12.1
SMT File: 1.smt2
Seconds < Lower Is Better
a . 43.97 |====================================================================
b . 43.42 |===================================================================
Z3 Theorem Prover 4.12.1
SMT File: 2.smt2
Seconds < Lower Is Better
a . 130.94 |===================================================================
b . 131.41 |===================================================================
Timed Godot Game Engine Compilation 4.0
Time To Compile
Seconds < Lower Is Better
a . 1372.60 |=================================================================
b . 1384.77 |==================================================================
Timed LLVM Compilation 16.0
Build System: Ninja
Seconds < Lower Is Better
a . 2892.09 |==================================================================
b . 2908.88 |==================================================================
Timed LLVM Compilation 16.0
Build System: Unix Makefiles
Seconds < Lower Is Better
a . 2967.53 |==================================================================
b . 2929.91 |=================================================================
Build2 0.15
Time To Compile
Seconds < Lower Is Better
a . 555.94 |=================================================================
b . 569.61 |===================================================================
Opus Codec Encoding 1.4
WAV To Opus Encode
Seconds < Lower Is Better
a . 35.40 |====================================================================
b . 35.43 |====================================================================