AMD Ryzen 9 3900XT 12-Core testing with a MSI MEG X570 GODLIKE (MS-7C34) v1.0 (1.B3 BIOS) and AMD Radeon RX 56/64 8GB 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 2211180-SYST-3900XTN38
3900xt-november
AMD Ryzen 9 3900XT 12-Core testing with a MSI MEG X570 GODLIKE (MS-7C34) v1.0 (1.B3 BIOS) and AMD Radeon RX 56/64 8GB on Ubuntu 22.04 via the Phoronix Test Suite.
a:
Processor: AMD Ryzen 9 3900XT 12-Core @ 3.80GHz (12 Cores / 24 Threads), Motherboard: MSI MEG X570 GODLIKE (MS-7C34) v1.0 (1.B3 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 500GB Seagate FireCuda 520 SSD ZP500GM30002, Graphics: AMD Radeon RX 56/64 8GB (1630/945MHz), Audio: AMD Vega 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek Device 2600 + Realtek Killer E3000 2.5GbE + Intel Wi-Fi 6 AX200
OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.42), Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160
aa:
Processor: AMD Ryzen 9 3900XT 12-Core @ 3.80GHz (12 Cores / 24 Threads), Motherboard: MSI MEG X570 GODLIKE (MS-7C34) v1.0 (1.B3 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 500GB Seagate FireCuda 520 SSD ZP500GM30002, Graphics: AMD Radeon RX 56/64 8GB (1630/945MHz), Audio: AMD Vega 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek Device 2600 + Realtek Killer E3000 2.5GbE + Intel Wi-Fi 6 AX200
OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.42), Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160
b:
Processor: AMD Ryzen 9 3900XT 12-Core @ 3.80GHz (12 Cores / 24 Threads), Motherboard: MSI MEG X570 GODLIKE (MS-7C34) v1.0 (1.B3 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 500GB Seagate FireCuda 520 SSD ZP500GM30002, Graphics: AMD Radeon RX 56/64 8GB (1630/945MHz), Audio: AMD Vega 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek Device 2600 + Realtek Killer E3000 2.5GbE + Intel Wi-Fi 6 AX200
OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.42), Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160
TensorFlow 2.10
Device: CPU - Batch Size: 512 - Model: GoogLeNet
images/sec > Higher Is Better
a .. 28.79 |===================================================================
aa . 28.71 |===================================================================
b .. 28.33 |==================================================================
SMHasher 2022-08-22
Hash: SHA3-256
cycles/hash < Lower Is Better
a .. 2598.05 |================================================================
aa . 2620.22 |=================================================================
b .. 2564.21 |================================================================
SMHasher 2022-08-22
Hash: SHA3-256
MiB/sec > Higher Is Better
a .. 149.08 |=================================================================
aa . 148.14 |================================================================
b .. 151.76 |==================================================================
nekRS 22.0
Input: TurboPipe Periodic
FLOP/s > Higher Is Better
a .. 31559900000 |===========================================================
aa . 32575200000 |=============================================================
b .. 32544333333 |=============================================================
OpenRadioss 2022.10.13
Model: INIVOL and Fluid Structure Interaction Drop Container
Seconds < Lower Is Better
a .. 633.97 |================================================================
aa . 650.25 |==================================================================
b .. 631.33 |================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 256 - Model: GoogLeNet
images/sec > Higher Is Better
a .. 28.64 |===================================================================
aa . 28.67 |===================================================================
b .. 28.65 |===================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 512 - Model: AlexNet
images/sec > Higher Is Better
a .. 110.36 |==================================================================
aa . 110.49 |==================================================================
b .. 110.02 |==================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 64 - Model: ResNet-50
images/sec > Higher Is Better
a .. 10.09 |===================================================================
aa . 10.06 |===================================================================
b .. 10.12 |===================================================================
JPEG XL libjxl 0.7
Input: JPEG - Quality: 100
MP/s > Higher Is Better
a .. 0.68 |====================================================================
aa . 0.68 |====================================================================
b .. 0.68 |====================================================================
JPEG XL libjxl 0.7
Input: PNG - Quality: 100
MP/s > Higher Is Better
a .. 0.69 |====================================================================
aa . 0.69 |====================================================================
b .. 0.69 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 32 - Model: ResNet-50
images/sec > Higher Is Better
a .. 10.29 |===================================================================
aa . 10.29 |===================================================================
b .. 10.33 |===================================================================
miniBUDE 20210901
Implementation: OpenMP - Input Deck: BM2
Billion Interactions/s > Higher Is Better
a .. 16.39 |===================================================================
aa . 16.41 |===================================================================
b .. 16.41 |===================================================================
miniBUDE 20210901
Implementation: OpenMP - Input Deck: BM2
GFInst/s > Higher Is Better
a .. 409.86 |==================================================================
aa . 410.31 |==================================================================
b .. 410.14 |==================================================================
OpenRadioss 2022.10.13
Model: Bird Strike on Windshield
Seconds < Lower Is Better
a .. 285.69 |==================================================================
aa . 286.84 |==================================================================
b .. 287.33 |==================================================================
FFmpeg 5.1.2
Encoder: libx264 - Scenario: Upload
FPS > Higher Is Better
a .. 12.64 |===================================================================
aa . 12.64 |===================================================================
b .. 12.67 |===================================================================
FFmpeg 5.1.2
Encoder: libx264 - Scenario: Upload
Seconds < Lower Is Better
a .. 199.73 |==================================================================
aa . 199.81 |==================================================================
b .. 199.35 |==================================================================
FFmpeg 5.1.2
Encoder: libx265 - Scenario: Platform
FPS > Higher Is Better
a .. 31.31 |==================================================================
aa . 31.49 |===================================================================
b .. 31.55 |===================================================================
FFmpeg 5.1.2
Encoder: libx265 - Scenario: Platform
Seconds < Lower Is Better
a .. 241.93 |==================================================================
aa . 240.52 |==================================================================
b .. 240.09 |=================================================================
FFmpeg 5.1.2
Encoder: libx265 - Scenario: Video On Demand
FPS > Higher Is Better
a .. 31.45 |===================================================================
aa . 31.62 |===================================================================
b .. 31.56 |===================================================================
FFmpeg 5.1.2
Encoder: libx265 - Scenario: Video On Demand
Seconds < Lower Is Better
a .. 240.84 |==================================================================
aa . 239.59 |==================================================================
b .. 240.03 |==================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 256 - Model: AlexNet
images/sec > Higher Is Better
a .. 109.23 |==================================================================
aa . 109.38 |==================================================================
b .. 109.30 |==================================================================
OpenFOAM 10
Input: drivaerFastback, Small Mesh Size - Execution Time
Seconds < Lower Is Better
a .. 363.22 |==================================================================
aa . 361.48 |==================================================================
b .. 360.00 |=================================================================
OpenFOAM 10
Input: drivaerFastback, Small Mesh Size - Mesh Time
Seconds < Lower Is Better
a .. 41.82 |===================================================================
aa . 41.85 |===================================================================
b .. 42.08 |===================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 64 - Model: GoogLeNet
images/sec > Higher Is Better
a .. 30.55 |===================================================================
aa . 30.51 |===================================================================
b .. 30.50 |===================================================================
FFmpeg 5.1.2
Encoder: libx265 - Scenario: Upload
FPS > Higher Is Better
a .. 15.32 |===================================================================
aa . 15.33 |===================================================================
b .. 15.37 |===================================================================
FFmpeg 5.1.2
Encoder: libx265 - Scenario: Upload
Seconds < Lower Is Better
a .. 164.80 |==================================================================
aa . 164.72 |==================================================================
b .. 164.26 |==================================================================
FFmpeg 5.1.2
Encoder: libx264 - Scenario: Platform
FPS > Higher Is Better
a .. 48.84 |===================================================================
aa . 49.01 |===================================================================
b .. 48.62 |==================================================================
FFmpeg 5.1.2
Encoder: libx264 - Scenario: Platform
Seconds < Lower Is Better
a .. 155.11 |==================================================================
aa . 154.57 |=================================================================
b .. 155.81 |==================================================================
FFmpeg 5.1.2
Encoder: libx264 - Scenario: Video On Demand
FPS > Higher Is Better
a .. 48.83 |===================================================================
aa . 48.85 |===================================================================
b .. 48.77 |===================================================================
FFmpeg 5.1.2
Encoder: libx264 - Scenario: Video On Demand
Seconds < Lower Is Better
a .. 155.14 |==================================================================
aa . 155.06 |==================================================================
b .. 155.31 |==================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
a .. 10.39 |===================================================================
aa . 10.44 |===================================================================
b .. 10.44 |===================================================================
OpenRadioss 2022.10.13
Model: Rubber O-Ring Seal Installation
Seconds < Lower Is Better
a .. 131.00 |==================================================================
aa . 130.82 |==================================================================
b .. 130.06 |==================================================================
JPEG XL libjxl 0.7
Input: JPEG - Quality: 80
MP/s > Higher Is Better
a .. 8.68 |==================================================================
aa . 8.98 |====================================================================
b .. 8.84 |===================================================================
JPEG XL libjxl 0.7
Input: PNG - Quality: 80
MP/s > Higher Is Better
a .. 9.08 |====================================================================
aa . 9.13 |====================================================================
b .. 9.12 |====================================================================
libavif avifenc 0.11
Encoder Speed: 0
Seconds < Lower Is Better
a .. 130.36 |=================================================================
aa . 131.57 |==================================================================
b .. 130.15 |=================================================================
OpenRadioss 2022.10.13
Model: Bumper Beam
Seconds < Lower Is Better
a .. 127.42 |==================================================================
aa . 126.51 |==================================================================
b .. 127.37 |==================================================================
Xmrig 6.18.1
Variant: Monero - Hash Count: 1M
H/s > Higher Is Better
a .. 7982.6 |================================================================
aa . 7945.8 |================================================================
b .. 8175.8 |==================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 32 - Model: GoogLeNet
images/sec > Higher Is Better
a .. 30.46 |===================================================================
aa . 30.58 |===================================================================
b .. 30.48 |===================================================================
OpenRadioss 2022.10.13
Model: Cell Phone Drop Test
Seconds < Lower Is Better
a .. 104.51 |==================================================================
aa . 104.11 |==================================================================
b .. 104.27 |==================================================================
JPEG XL libjxl 0.7
Input: JPEG - Quality: 90
MP/s > Higher Is Better
a .. 8.62 |===================================================================
aa . 8.76 |====================================================================
b .. 8.80 |====================================================================
JPEG XL libjxl 0.7
Input: PNG - Quality: 90
MP/s > Higher Is Better
a .. 9.02 |====================================================================
aa . 9.03 |====================================================================
b .. 9.07 |====================================================================
AOM AV1 3.5
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a .. 7.41 |====================================================================
aa . 7.45 |====================================================================
b .. 7.41 |====================================================================
Cpuminer-Opt 3.20.3
Algorithm: Garlicoin
kH/s > Higher Is Better
a .. 1939.65 |============================================================
aa . 1960.71 |============================================================
b .. 2112.41 |=================================================================
Xmrig 6.18.1
Variant: Wownero - Hash Count: 1M
H/s > Higher Is Better
a .. 10466.6 |================================================================
aa . 10640.0 |=================================================================
b .. 10577.3 |=================================================================
FFmpeg 5.1.2
Encoder: libx265 - Scenario: Live
FPS > Higher Is Better
a .. 75.38 |===================================================================
aa . 75.50 |===================================================================
b .. 75.10 |===================================================================
FFmpeg 5.1.2
Encoder: libx265 - Scenario: Live
Seconds < Lower Is Better
a .. 66.99 |===================================================================
aa . 66.89 |===================================================================
b .. 67.26 |===================================================================
oneDNN 2.7
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a .. 4075.57 |================================================================
aa . 4145.83 |=================================================================
b .. 4147.65 |=================================================================
AOM AV1 3.5
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a .. 0.25 |====================================================================
aa . 0.25 |====================================================================
b .. 0.25 |====================================================================
oneDNN 2.7
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a .. 2503.12 |=================================================================
aa . 2484.90 |=================================================================
b .. 2481.61 |================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 64 - Model: AlexNet
images/sec > Higher Is Better
a .. 93.80 |===================================================================
aa . 93.88 |===================================================================
b .. 93.79 |===================================================================
Libplacebo 5.229.1
Test: av1_grain_lap
FPS > Higher Is Better
a .. 2073.69 |================================================================
aa . 2106.73 |=================================================================
b .. 2093.70 |=================================================================
Libplacebo 5.229.1
Test: hdr_lut
FPS > Higher Is Better
a .. 2797.23 |================================================================
aa . 2806.16 |================================================================
b .. 2840.16 |=================================================================
Libplacebo 5.229.1
Test: hdr_peakdetect
FPS > Higher Is Better
a .. 2610.20 |=================================================================
aa . 2598.97 |=================================================================
b .. 2603.19 |=================================================================
Libplacebo 5.229.1
Test: polar_nocompute
FPS > Higher Is Better
a .. 977.72 |==================================================================
aa . 948.28 |================================================================
b .. 961.48 |=================================================================
Libplacebo 5.229.1
Test: deband_heavy
FPS > Higher Is Better
a .. 476.59 |==================================================================
aa . 479.65 |==================================================================
b .. 474.53 |=================================================================
Cpuminer-Opt 3.20.3
Algorithm: Blake-2 S
kH/s > Higher Is Better
a .. 524680 |==================================================================
aa . 528060 |==================================================================
b .. 519433 |=================================================================
oneDNN 2.7
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a .. 8.22740 |=================================================================
aa . 5.47125 |===========================================
b .. 6.22396 |=================================================
libavif avifenc 0.11
Encoder Speed: 2
Seconds < Lower Is Better
a .. 63.12 |==================================================================
aa . 64.02 |===================================================================
b .. 64.37 |===================================================================
AOM AV1 3.5
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a .. 12.67 |===================================================================
aa . 12.68 |===================================================================
b .. 12.71 |===================================================================
spaCy 3.4.1
Model: en_core_web_trf
tokens/sec > Higher Is Better
a .. 832 |=====================================================================
aa . 833 |=====================================================================
b .. 550 |==============================================
spaCy 3.4.1
Model: en_core_web_lg
tokens/sec > Higher Is Better
a .. 12196 |===================================================================
aa . 12217 |===================================================================
b .. 11978 |==================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
a .. 31.89 |===================================================================
aa . 31.83 |===================================================================
b .. 31.85 |===================================================================
JPEG XL Decoding libjxl 0.7
CPU Threads: 1
MP/s > Higher Is Better
a .. 48.69 |===================================================================
aa . 47.21 |=================================================================
b .. 48.24 |==================================================================
nginx 1.23.2
Connections: 1000
Requests Per Second > Higher Is Better
a .. 65135.63 |===============================================================
aa . 65507.92 |===============================================================
b .. 66302.86 |================================================================
nginx 1.23.2
Connections: 500
Requests Per Second > Higher Is Better
a .. 75259.81 |===============================================================
aa . 76617.70 |================================================================
b .. 76562.05 |================================================================
nginx 1.23.2
Connections: 200
Requests Per Second > Higher Is Better
a .. 83513.14 |===============================================================
aa . 84210.42 |================================================================
b .. 82789.42 |===============================================================
nginx 1.23.2
Connections: 100
Requests Per Second > Higher Is Better
a .. 87222.68 |================================================================
aa . 86726.10 |================================================================
b .. 83591.65 |=============================================================
miniBUDE 20210901
Implementation: OpenMP - Input Deck: BM1
Billion Interactions/s > Higher Is Better
a .. 16.23 |===================================================================
aa . 16.27 |===================================================================
b .. 16.17 |===================================================================
miniBUDE 20210901
Implementation: OpenMP - Input Deck: BM1
GFInst/s > Higher Is Better
a .. 405.82 |==================================================================
aa . 406.71 |==================================================================
b .. 404.25 |==================================================================
AOM AV1 3.5
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a .. 15.08 |===================================================================
aa . 15.01 |===================================================================
b .. 15.12 |===================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 32 - Model: AlexNet
images/sec > Higher Is Better
a .. 76.22 |===================================================================
aa . 76.25 |===================================================================
b .. 76.37 |===================================================================
Y-Cruncher 0.7.10.9513
Pi Digits To Calculate: 1B
Seconds < Lower Is Better
a .. 41.52 |==================================================================
aa . 41.84 |===================================================================
b .. 41.43 |==================================================================
FFmpeg 5.1.2
Encoder: libx264 - Scenario: Live
FPS > Higher Is Better
a .. 204.75 |==================================================================
aa . 205.03 |==================================================================
b .. 204.73 |==================================================================
FFmpeg 5.1.2
Encoder: libx264 - Scenario: Live
Seconds < Lower Is Better
a .. 24.66 |===================================================================
aa . 24.63 |===================================================================
b .. 24.67 |===================================================================
SMHasher 2022-08-22
Hash: FarmHash128
cycles/hash < Lower Is Better
a .. 64.10 |===================================================================
aa . 60.34 |===============================================================
b .. 61.81 |=================================================================
SMHasher 2022-08-22
Hash: FarmHash128
MiB/sec > Higher Is Better
a .. 15884.24 |=============================================================
aa . 16614.28 |================================================================
b .. 16361.64 |===============================================================
oneDNN 2.7
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a .. 1.88170 |=================================================================
aa . 1.27895 |============================================
b .. 1.74121 |============================================================
SMHasher 2022-08-22
Hash: MeowHash x86_64 AES-NI
cycles/hash < Lower Is Better
a .. 57.74 |===================================================================
aa . 56.98 |==================================================================
b .. 55.88 |=================================================================
SMHasher 2022-08-22
Hash: MeowHash x86_64 AES-NI
MiB/sec > Higher Is Better
a .. 37183.28 |==============================================================
aa . 37904.32 |===============================================================
b .. 38610.17 |================================================================
JPEG XL Decoding libjxl 0.7
CPU Threads: All
MP/s > Higher Is Better
a .. 146.63 |=================================================================
aa . 148.61 |==================================================================
b .. 148.59 |==================================================================
SMHasher 2022-08-22
Hash: Spooky32
cycles/hash < Lower Is Better
a .. 49.06 |==================================================================
aa . 48.98 |==================================================================
b .. 49.50 |===================================================================
SMHasher 2022-08-22
Hash: Spooky32
MiB/sec > Higher Is Better
a .. 14909.02 |===============================================================
aa . 15026.60 |================================================================
b .. 14856.10 |===============================================================
Neural Magic DeepSparse 1.1
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a .. 180.61 |=================================================================
aa . 181.46 |==================================================================
b .. 182.26 |==================================================================
Neural Magic DeepSparse 1.1
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a .. 33.21 |===================================================================
aa . 33.06 |===================================================================
b .. 32.91 |==================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
a .. 55.63 |===================================================================
aa . 55.47 |===================================================================
b .. 55.49 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a .. 611.84 |=================================================================
aa . 617.74 |==================================================================
b .. 618.14 |==================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a .. 9.7748 |==================================================================
aa . 9.7085 |==================================================================
b .. 9.6761 |=================================================================
EnCodec 0.1.1
Target Bandwidth: 24 kbps
Seconds < Lower Is Better
a .. 54.42 |==================================================================
aa . 54.43 |==================================================================
b .. 54.86 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a .. 146.48 |==================================================================
aa . 146.11 |==================================================================
b .. 146.64 |==================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a .. 40.95 |===================================================================
aa . 41.06 |===================================================================
b .. 40.91 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a .. 617.65 |==================================================================
aa . 617.03 |==================================================================
b .. 609.83 |=================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a .. 9.7133 |=================================================================
aa . 9.7230 |=================================================================
b .. 9.8238 |==================================================================
Cpuminer-Opt 3.20.3
Algorithm: Skeincoin
kH/s > Higher Is Better
a .. 106880 |=================================================================
aa . 108620 |==================================================================
b .. 105667 |================================================================
Cpuminer-Opt 3.20.3
Algorithm: Triple SHA-256, Onecoin
kH/s > Higher Is Better
a .. 204970 |==================================================================
aa . 204950 |==================================================================
b .. 205100 |==================================================================
Cpuminer-Opt 3.20.3
Algorithm: Myriad-Groestl
kH/s > Higher Is Better
a .. 21130 |==================================================================
aa . 21260 |===================================================================
b .. 21397 |===================================================================
Cpuminer-Opt 3.20.3
Algorithm: Quad SHA-256, Pyrite
kH/s > Higher Is Better
a .. 102170 |==================================================================
aa . 102180 |==================================================================
b .. 102017 |==================================================================
Cpuminer-Opt 3.20.3
Algorithm: x25x
kH/s > Higher Is Better
a .. 631.15 |==================================================================
aa . 631.74 |==================================================================
b .. 628.47 |==================================================================
Cpuminer-Opt 3.20.3
Algorithm: Magi
kH/s > Higher Is Better
a .. 603.58 |==================================================================
aa . 603.33 |==================================================================
b .. 600.87 |==================================================================
Cpuminer-Opt 3.20.3
Algorithm: LBC, LBRY Credits
kH/s > Higher Is Better
a .. 31260 |==================================================================
aa . 31820 |===================================================================
b .. 31143 |==================================================================
Cpuminer-Opt 3.20.3
Algorithm: Ringcoin
kH/s > Higher Is Better
a .. 2705.27 |================================================================
aa . 2709.03 |================================================================
b .. 2730.30 |=================================================================
Cpuminer-Opt 3.20.3
Algorithm: Deepcoin
kH/s > Higher Is Better
a .. 11710 |===================================================================
aa . 11720 |===================================================================
b .. 11660 |===================================================================
Cpuminer-Opt 3.20.3
Algorithm: scrypt
kH/s > Higher Is Better
a .. 226.42 |==================================================================
aa . 226.59 |==================================================================
b .. 225.89 |==================================================================
Neural Magic DeepSparse 1.1
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a .. 48.49 |==================================================================
aa . 49.23 |===================================================================
b .. 49.49 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a .. 20.62 |===================================================================
aa . 20.31 |==================================================================
b .. 20.20 |==================================================================
EnCodec 0.1.1
Target Bandwidth: 6 kbps
Seconds < Lower Is Better
a .. 47.33 |=================================================================
aa . 48.56 |===================================================================
b .. 48.22 |===================================================================
EnCodec 0.1.1
Target Bandwidth: 3 kbps
Seconds < Lower Is Better
a .. 47.23 |=================================================================
aa . 47.66 |==================================================================
b .. 48.45 |===================================================================
AOM AV1 3.5
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a .. 0.73 |====================================================================
aa . 0.73 |====================================================================
b .. 0.73 |====================================================================
EnCodec 0.1.1
Target Bandwidth: 1.5 kbps
Seconds < Lower Is Better
a .. 45.14 |=================================================================
aa . 46.08 |==================================================================
b .. 46.62 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a .. 124.79 |==================================================================
aa . 124.76 |==================================================================
b .. 125.05 |==================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a .. 8.0129 |==================================================================
aa . 8.0151 |==================================================================
b .. 7.9966 |==================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a .. 125.35 |==================================================================
aa . 125.17 |==================================================================
b .. 125.27 |==================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a .. 7.9776 |==================================================================
aa . 7.9890 |==================================================================
b .. 7.9824 |==================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a .. 33.39 |===================================================================
aa . 33.32 |===================================================================
b .. 33.34 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a .. 29.95 |===================================================================
aa . 30.00 |===================================================================
b .. 29.99 |===================================================================
AOM AV1 3.5
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a .. 23.10 |===================================================================
aa . 23.20 |===================================================================
b .. 23.13 |===================================================================
SMHasher 2022-08-22
Hash: t1ha2_atonce
cycles/hash < Lower Is Better
a .. 32.25 |===============================================================
aa . 34.55 |===================================================================
b .. 33.68 |=================================================================
SMHasher 2022-08-22
Hash: t1ha2_atonce
MiB/sec > Higher Is Better
a .. 16686.57 |================================================================
aa . 15706.92 |============================================================
b .. 16085.48 |==============================================================
SMHasher 2022-08-22
Hash: t1ha0_aes_avx2 x86_64
cycles/hash < Lower Is Better
a .. 34.81 |===================================================================
aa . 32.88 |===============================================================
b .. 33.61 |=================================================================
SMHasher 2022-08-22
Hash: t1ha0_aes_avx2 x86_64
MiB/sec > Higher Is Better
a .. 66796.46 |=============================================================
aa . 69896.41 |================================================================
b .. 68310.66 |===============================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a .. 73.71 |===================================================================
aa . 74.01 |===================================================================
b .. 73.77 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a .. 81.37 |===================================================================
aa . 81.04 |===================================================================
b .. 81.31 |===================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a .. 113.46 |=================================================================
aa . 113.64 |==================================================================
b .. 114.40 |==================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a .. 52.85 |===================================================================
aa . 52.78 |===================================================================
b .. 52.42 |==================================================================
FLAC Audio Encoding 1.4
WAV To FLAC
Seconds < Lower Is Better
a .. 17.26 |===================================================================
aa . 17.33 |===================================================================
b .. 17.21 |===================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a .. 53.41 |===================================================================
aa . 53.41 |===================================================================
b .. 53.44 |===================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a .. 112.28 |==================================================================
aa . 112.26 |==================================================================
b .. 112.12 |==================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a .. 16.82 |===================================================================
aa . 16.77 |===================================================================
b .. 16.83 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a .. 59.45 |===================================================================
aa . 59.62 |===================================================================
b .. 59.41 |===================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a .. 23.56 |===================================================================
aa . 23.57 |===================================================================
b .. 23.60 |===================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a .. 42.43 |===================================================================
aa . 42.41 |===================================================================
b .. 42.36 |===================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a .. 12.75 |===================================================================
aa . 12.75 |===================================================================
b .. 12.76 |===================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a .. 78.39 |===================================================================
aa . 78.41 |===================================================================
b .. 78.31 |===================================================================
Y-Cruncher 0.7.10.9513
Pi Digits To Calculate: 500M
Seconds < Lower Is Better
a .. 19.55 |===================================================================
aa . 19.53 |===================================================================
b .. 19.53 |===================================================================
QuadRay 2022.05.25
Scene: 5 - Resolution: 4K
FPS > Higher Is Better
a .. 0.66 |====================================================================
aa . 0.66 |====================================================================
b .. 0.66 |====================================================================
QuadRay 2022.05.25
Scene: 2 - Resolution: 4K
FPS > Higher Is Better
a .. 2.89 |====================================================================
aa . 2.90 |====================================================================
b .. 2.86 |===================================================================
QuadRay 2022.05.25
Scene: 3 - Resolution: 4K
FPS > Higher Is Better
a .. 2.46 |===================================================================
aa . 2.43 |==================================================================
b .. 2.49 |====================================================================
QuadRay 2022.05.25
Scene: 1 - Resolution: 4K
FPS > Higher Is Better
a .. 10.21 |===================================================================
aa . 9.63 |===============================================================
b .. 10.14 |===================================================================
QuadRay 2022.05.25
Scene: 5 - Resolution: 1080p
FPS > Higher Is Better
a .. 2.64 |====================================================================
aa . 2.62 |===================================================================
b .. 2.63 |====================================================================
QuadRay 2022.05.25
Scene: 2 - Resolution: 1080p
FPS > Higher Is Better
a .. 11.12 |==================================================================
aa . 11.22 |===================================================================
b .. 11.17 |===================================================================
QuadRay 2022.05.25
Scene: 3 - Resolution: 1080p
FPS > Higher Is Better
a .. 9.71 |===================================================================
aa . 9.81 |====================================================================
b .. 9.70 |===================================================================
QuadRay 2022.05.25
Scene: 1 - Resolution: 1080p
FPS > Higher Is Better
a .. 39.48 |===================================================================
aa . 38.50 |=================================================================
b .. 39.26 |===================================================================
AOM AV1 3.5
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a .. 41.57 |==================================================================
aa . 42.17 |===================================================================
b .. 42.07 |===================================================================
AOM AV1 3.5
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a .. 34.46 |==================================================================
aa . 34.91 |===================================================================
b .. 34.60 |==================================================================
Stress-NG 0.14.06
Test: Context Switching
Bogo Ops/s > Higher Is Better
a .. 4076744.52 |==============================================================
aa . 4103283.77 |==============================================================
b .. 3796353.99 |=========================================================
Stress-NG 0.14.06
Test: CPU Cache
Bogo Ops/s > Higher Is Better
a .. 158.89 |==================================================================
aa . 152.46 |===============================================================
b .. 149.79 |==============================================================
Stress-NG 0.14.06
Test: MEMFD
Bogo Ops/s > Higher Is Better
a .. 747.31 |================================================================
aa . 773.07 |==================================================================
b .. 770.89 |==================================================================
Stress-NG 0.14.06
Test: Futex
Bogo Ops/s > Higher Is Better
a .. 2600010.05 |===========================================================
aa . 2717409.38 |==============================================================
b .. 2563831.67 |==========================================================
Stress-NG 0.14.06
Test: NUMA
Bogo Ops/s > Higher Is Better
a .. 260.68 |==================================================================
aa . 261.26 |==================================================================
b .. 260.02 |==================================================================
Stress-NG 0.14.06
Test: System V Message Passing
Bogo Ops/s > Higher Is Better
a .. 7925418.15 |==============================================================
aa . 7932169.44 |==============================================================
b .. 7654922.05 |============================================================
Stress-NG 0.14.06
Test: Mutex
Bogo Ops/s > Higher Is Better
a .. 6319425.86 |=============================================================
aa . 6371966.37 |==============================================================
b .. 6344621.56 |==============================================================
Stress-NG 0.14.06
Test: Memory Copying
Bogo Ops/s > Higher Is Better
a .. 3599.42 |=================================================================
aa . 3592.78 |=================================================================
b .. 3456.53 |==============================================================
Stress-NG 0.14.06
Test: Socket Activity
Bogo Ops/s > Higher Is Better
a .. 8595.20 |==============================================================
aa . 8500.17 |==============================================================
b .. 8961.20 |=================================================================
Stress-NG 0.14.06
Test: Matrix Math
Bogo Ops/s > Higher Is Better
a .. 61078.06 |================================================================
aa . 61203.21 |================================================================
b .. 58814.38 |==============================================================
Stress-NG 0.14.06
Test: Malloc
Bogo Ops/s > Higher Is Better
a .. 13779284.62 |============================================================
aa . 13924963.43 |=============================================================
b .. 13767394.33 |============================================================
Stress-NG 0.14.06
Test: Semaphores
Bogo Ops/s > Higher Is Better
a .. 2463565.68 |==============================================================
aa . 2465656.19 |==============================================================
b .. 2466594.73 |==============================================================
Stress-NG 0.14.06
Test: Forking
Bogo Ops/s > Higher Is Better
a .. 40818.92 |================================================================
aa . 40572.79 |================================================================
b .. 40197.60 |===============================================================
Stress-NG 0.14.06
Test: Crypto
Bogo Ops/s > Higher Is Better
a .. 22523.79 |================================================================
aa . 22525.14 |================================================================
b .. 22434.69 |================================================================
Stress-NG 0.14.06
Test: MMAP
Bogo Ops/s > Higher Is Better
a .. 294.05 |==================================================================
aa . 292.10 |==================================================================
b .. 293.29 |==================================================================
Stress-NG 0.14.06
Test: IO_uring
Bogo Ops/s > Higher Is Better
a .. 5126.99 |======================================
aa . 8765.88 |=================================================================
b .. 4168.54 |===============================
Stress-NG 0.14.06
Test: Atomic
Bogo Ops/s > Higher Is Better
a .. 575564.96 |===============================================================
aa . 575708.53 |===============================================================
b .. 571674.68 |===============================================================
Stress-NG 0.14.06
Test: Glibc Qsort Data Sorting
Bogo Ops/s > Higher Is Better
a .. 180.77 |==============================================================
aa . 192.23 |==================================================================
b .. 184.77 |===============================================================
Stress-NG 0.14.06
Test: CPU Stress
Bogo Ops/s > Higher Is Better
a .. 32900.39 |================================================================
aa . 31954.78 |==============================================================
b .. 30793.53 |============================================================
Stress-NG 0.14.06
Test: Glibc C String Functions
Bogo Ops/s > Higher Is Better
a .. 2048965.25 |==============================================================
aa . 2035501.44 |==============================================================
b .. 1531955.88 |==============================================
Stress-NG 0.14.06
Test: Vector Math
Bogo Ops/s > Higher Is Better
a .. 90999.65 |================================================================
aa . 90998.92 |================================================================
b .. 87587.66 |==============================================================
Stress-NG 0.14.06
Test: SENDFILE
Bogo Ops/s > Higher Is Better
a .. 215308.14 |===============================================================
aa . 215163.99 |===============================================================
b .. 205666.12 |============================================================
oneDNN 2.7
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a .. 4.69026 |================================================================
aa . 4.74859 |=================================================================
b .. 4.73086 |=================================================================
AOM AV1 3.5
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a .. 47.42 |===================================================================
aa . 47.62 |===================================================================
b .. 47.60 |===================================================================
AOM AV1 3.5
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a .. 47.55 |==================================================================
aa . 47.95 |===================================================================
b .. 48.23 |===================================================================
AOM AV1 3.5
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a .. 45.20 |================================================================
aa . 46.98 |===================================================================
b .. 45.64 |=================================================================
SMHasher 2022-08-22
Hash: fasthash32
cycles/hash < Lower Is Better
a .. 36.90 |===================================================================
aa . 35.26 |================================================================
b .. 36.69 |===================================================================
SMHasher 2022-08-22
Hash: fasthash32
MiB/sec > Higher Is Better
a .. 6658.92 |===============================================================
aa . 6917.32 |=================================================================
b .. 6686.25 |===============================================================
libavif avifenc 0.11
Encoder Speed: 6, Lossless
Seconds < Lower Is Better
a .. 10.15 |===================================================================
aa . 10.09 |===================================================================
b .. 10.15 |===================================================================
oneDNN 2.7
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a .. 12.06 |===================================================================
aa . 12.03 |===================================================================
b .. 12.03 |===================================================================
SMHasher 2022-08-22
Hash: FarmHash32 x86_64 AVX
cycles/hash < Lower Is Better
a .. 40.07 |===============================================================
aa . 41.13 |=================================================================
b .. 42.58 |===================================================================
SMHasher 2022-08-22
Hash: FarmHash32 x86_64 AVX
MiB/sec > Higher Is Better
a .. 29093.03 |================================================================
aa . 28582.22 |===============================================================
b .. 27788.51 |=============================================================
AOM AV1 3.5
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a .. 85.22 |==================================================================
aa . 85.90 |===================================================================
b .. 84.93 |==================================================================
SMHasher 2022-08-22
Hash: wyhash
cycles/hash < Lower Is Better
a .. 25.31 |=================================================================
aa . 25.29 |=================================================================
b .. 25.91 |===================================================================
SMHasher 2022-08-22
Hash: wyhash
MiB/sec > Higher Is Better
a .. 23915.75 |================================================================
aa . 24070.66 |================================================================
b .. 23571.26 |===============================================================
oneDNN 2.7
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a .. 22.54 |===================================================================
aa . 22.55 |===================================================================
b .. 22.52 |===================================================================
libavif avifenc 0.11
Encoder Speed: 6
Seconds < Lower Is Better
a .. 6.049 |===================================================================
aa . 6.076 |===================================================================
b .. 6.019 |==================================================================
AOM AV1 3.5
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a .. 108.47 |==================================================================
aa . 108.91 |==================================================================
b .. 107.41 |=================================================================
AOM AV1 3.5
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a .. 109.52 |=================================================================
aa . 111.49 |==================================================================
b .. 110.26 |=================================================================
libavif avifenc 0.11
Encoder Speed: 10, Lossless
Seconds < Lower Is Better
a .. 5.480 |===================================================================
aa . 5.505 |===================================================================
b .. 5.497 |===================================================================
oneDNN 2.7
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a .. 5.27435 |=================================================================
aa . 5.25072 |=================================================================
b .. 5.28794 |=================================================================