Tests for a future article. AMD Ryzen 7 7700X 8-Core testing with a ASRock X670E PG Lightning (1.11 BIOS) and XFX AMD Radeon RX 6400 4GB 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 2210280-PTS-RYZEN77736
Ryzen 7 7700X
Tests for a future article. AMD Ryzen 7 7700X 8-Core testing with a ASRock X670E PG Lightning (1.11 BIOS) and XFX AMD Radeon RX 6400 4GB on Ubuntu 22.04 via the Phoronix Test Suite.
A:
Processor: AMD Ryzen 7 7700X 8-Core @ 5.57GHz (8 Cores / 16 Threads), Motherboard: ASRock X670E PG Lightning (1.11 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: XFX AMD Radeon RX 6400 4GB (2320/1000MHz), Audio: AMD Navi 21 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE
OS: Ubuntu 22.04, Kernel: 5.17.0-1013-oem (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.2.0-devel (git-a9610ab740) (LLVM 13.0.1 DRM 3.44), Vulkan: 1.3.219, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160
B:
Processor: AMD Ryzen 7 7700X 8-Core @ 5.57GHz (8 Cores / 16 Threads), Motherboard: ASRock X670E PG Lightning (1.11 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: XFX AMD Radeon RX 6400 4GB (2320/1000MHz), Audio: AMD Navi 21 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE
OS: Ubuntu 22.04, Kernel: 5.17.0-1013-oem (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.2.0-devel (git-a9610ab740) (LLVM 13.0.1 DRM 3.44), Vulkan: 1.3.219, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160
TensorFlow 2.10
Device: CPU - Batch Size: 256 - Model: ResNet-50
images/sec > Higher Is Better
A . 29.65 |====================================================================
B . 29.61 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 512 - Model: GoogLeNet
images/sec > Higher Is Better
A . 88.99 |====================================================================
B . 89.08 |====================================================================
OpenRadioss 2022.10.13
Model: INIVOL and Fluid Structure Interaction Drop Container
Seconds < Lower Is Better
A . 526.03 |==============================================================
B . 565.63 |===================================================================
SMHasher 2022-08-22
Hash: SHA3-256
cycles/hash < Lower Is Better
A . 2314.14 |=================================================================
B . 2340.81 |==================================================================
SMHasher 2022-08-22
Hash: SHA3-256
MiB/sec > Higher Is Better
A . 171.75 |===================================================================
B . 170.07 |==================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 256 - Model: GoogLeNet
images/sec > Higher Is Better
A . 88.97 |====================================================================
B . 88.89 |====================================================================
JPEG XL libjxl 0.7
Input: JPEG - Quality: 100
MP/s > Higher Is Better
A . 0.78 |==================================================================
B . 0.82 |=====================================================================
OpenRadioss 2022.10.13
Model: Bird Strike on Windshield
Seconds < Lower Is Better
A . 252.55 |=============================================================
B . 277.84 |===================================================================
JPEG XL libjxl 0.7
Input: PNG - Quality: 100
MP/s > Higher Is Better
A . 0.90 |====================================================================
B . 0.91 |=====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 512 - Model: AlexNet
images/sec > Higher Is Better
A . 231.51 |===================================================================
B . 231.79 |===================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 64 - Model: ResNet-50
images/sec > Higher Is Better
A . 29.61 |====================================================================
B . 29.67 |====================================================================
Xmrig 6.18.1
Variant: Monero - Hash Count: 1M
H/s > Higher Is Better
A . 7555.0 |===================================================================
B . 7050.3 |===============================================================
OpenRadioss 2022.10.13
Model: Rubber O-Ring Seal Installation
Seconds < Lower Is Better
A . 119.08 |========================================================
B . 143.60 |===================================================================
OpenRadioss 2022.10.13
Model: Bumper Beam
Seconds < Lower Is Better
A . 120.80 |===========================================================
B . 136.59 |===================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 256 - Model: AlexNet
images/sec > Higher Is Better
A . 229.53 |===================================================================
B . 230.41 |===================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 32 - Model: ResNet-50
images/sec > Higher Is Better
A . 29.81 |====================================================================
B . 29.76 |====================================================================
libavif avifenc 0.11
Encoder Speed: 0
Seconds < Lower Is Better
A . 113.39 |===================================================================
B . 113.20 |===================================================================
JPEG XL libjxl 0.7
Input: JPEG - Quality: 80
MP/s > Higher Is Better
A . 11.12 |====================================================================
B . 11.03 |===================================================================
Xmrig 6.18.1
Variant: Wownero - Hash Count: 1M
H/s > Higher Is Better
A . 9679.3 |===================================================================
B . 9558.7 |==================================================================
JPEG XL libjxl 0.7
Input: PNG - Quality: 80
MP/s > Higher Is Better
A . 11.44 |====================================================================
B . 11.37 |====================================================================
OpenRadioss 2022.10.13
Model: Cell Phone Drop Test
Seconds < Lower Is Better
A . 82.66 |============================================================
B . 93.67 |====================================================================
AOM AV1 3.5
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 8.70 |=====================================================================
B . 8.69 |=====================================================================
JPEG XL libjxl 0.7
Input: JPEG - Quality: 90
MP/s > Higher Is Better
A . 10.96 |====================================================================
B . 10.90 |====================================================================
JPEG XL libjxl 0.7
Input: PNG - Quality: 90
MP/s > Higher Is Better
A . 11.27 |====================================================================
B . 11.19 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 64 - Model: GoogLeNet
images/sec > Higher Is Better
A . 89.21 |====================================================================
B . 89.32 |====================================================================
oneDNN 2.7
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
A . 2622.21 |==================================================================
B . 2618.84 |==================================================================
oneDNN 2.7
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
A . 2613.39 |==================================================================
B . 2618.97 |==================================================================
oneDNN 2.7
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
A . 2618.14 |==================================================================
B . 2618.26 |==================================================================
AOM AV1 3.5
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 0.26 |=====================================================================
B . 0.26 |=====================================================================
oneDNN 2.7
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
A . 1342.13 |==================================================================
B . 1339.39 |==================================================================
oneDNN 2.7
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
A . 1341.09 |==================================================================
B . 1346.17 |==================================================================
oneDNN 2.7
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
A . 1352.66 |==================================================================
B . 1339.00 |=================================================================
spaCy 3.4.1
Model: en_core_web_trf
tokens/sec > Higher Is Better
A . 969 |======================================================================
B . 975 |======================================================================
spaCy 3.4.1
Model: en_core_web_lg
tokens/sec > Higher Is Better
A . 18697 |====================================================================
B . 18445 |===================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
A . 29.65 |====================================================================
B . 29.67 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
A . 649.69 |===================================================================
B . 645.72 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
A . 6.1328 |===================================================================
B . 6.1783 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
A . 85.48 |====================================================================
B . 84.90 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
A . 46.78 |====================================================================
B . 47.10 |====================================================================
libavif avifenc 0.11
Encoder Speed: 2
Seconds < Lower Is Better
A . 53.78 |====================================================================
B . 53.89 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
A . 648.55 |===================================================================
B . 649.40 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
A . 6.1219 |===================================================================
B . 6.1062 |===================================================================
AOM AV1 3.5
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 15.83 |====================================================================
B . 15.83 |====================================================================
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 . 74.42 |====================================================================
B . 74.58 |====================================================================
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 . 53.73 |====================================================================
B . 53.60 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
A . 163.89 |===================================================================
B . 163.58 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
A . 6.1015 |===================================================================
B . 6.1128 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
A . 164.41 |===================================================================
B . 164.34 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
A . 6.0820 |===================================================================
B . 6.0845 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
A . 25.65 |====================================================================
B . 25.76 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
A . 38.97 |====================================================================
B . 38.81 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
A . 43.38 |====================================================================
B . 43.38 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
A . 92.19 |====================================================================
B . 92.17 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 32 - Model: GoogLeNet
images/sec > Higher Is Better
A . 89.76 |====================================================================
B . 90.04 |====================================================================
JPEG XL Decoding libjxl 0.7
CPU Threads: 1
MP/s > Higher Is Better
A . 64.73 |===================================================================
B . 65.81 |====================================================================
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 . 18.22 |====================================================================
B . 18.31 |====================================================================
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 . 54.85 |====================================================================
B . 54.60 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
A . 63.35 |==================================================================
B . 64.85 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
A . 63.07 |====================================================================
B . 61.62 |==================================================================
AOM AV1 3.5
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 18.20 |====================================================================
B . 18.25 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
A . 27.84 |====================================================================
B . 27.90 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
A . 143.58 |===================================================================
B . 143.25 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
A . 13.10 |====================================================================
B . 13.10 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
A . 76.29 |====================================================================
B . 76.30 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
A . 17.49 |====================================================================
B . 17.52 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
A . 57.13 |====================================================================
B . 57.04 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 64 - Model: AlexNet
images/sec > Higher Is Better
A . 199.61 |===================================================================
B . 200.32 |===================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
A . 8.5304 |===================================================================
B . 8.5531 |===================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
A . 117.13 |===================================================================
B . 116.82 |===================================================================
Y-Cruncher 0.7.10.9513
Pi Digits To Calculate: 1B
Seconds < Lower Is Better
A . 29.20 |====================================================================
B . 29.12 |====================================================================
Cpuminer-Opt 3.20.3
Algorithm: Deepcoin
kH/s > Higher Is Better
A . 10480 |====================================================================
B . 10420 |====================================================================
Cpuminer-Opt 3.20.3
Algorithm: Magi
kH/s > Higher Is Better
A . 536.39 |===================================================================
B . 537.52 |===================================================================
Cpuminer-Opt 3.20.3
Algorithm: Quad SHA-256, Pyrite
kH/s > Higher Is Better
A . 162810 |===================================================================
B . 159450 |==================================================================
Cpuminer-Opt 3.20.3
Algorithm: scrypt
kH/s > Higher Is Better
A . 315.65 |==================================================================
B . 318.16 |===================================================================
Cpuminer-Opt 3.20.3
Algorithm: Triple SHA-256, Onecoin
kH/s > Higher Is Better
A . 235830 |===================================================================
B . 235080 |===================================================================
Cpuminer-Opt 3.20.3
Algorithm: LBC, LBRY Credits
kH/s > Higher Is Better
A . 72970 |==================================================================
B . 75300 |====================================================================
Cpuminer-Opt 3.20.3
Algorithm: Ringcoin
kH/s > Higher Is Better
A . 2220.83 |=================================================================
B . 2252.00 |==================================================================
Cpuminer-Opt 3.20.3
Algorithm: Skeincoin
kH/s > Higher Is Better
A . 134680 |===================================================================
B . 134190 |===================================================================
Cpuminer-Opt 3.20.3
Algorithm: Myriad-Groestl
kH/s > Higher Is Better
A . 42500 |====================================================================
B . 42210 |====================================================================
Cpuminer-Opt 3.20.3
Algorithm: x25x
kH/s > Higher Is Better
A . 570.19 |===================================================================
B . 563.72 |==================================================================
Cpuminer-Opt 3.20.3
Algorithm: Garlicoin
kH/s > Higher Is Better
A . 4639.52 |==================================================================
B . 4617.41 |==================================================================
Cpuminer-Opt 3.20.3
Algorithm: Blake-2 S
kH/s > Higher Is Better
A . 843890 |================================================================
B . 889870 |===================================================================
AOM AV1 3.5
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 0.76 |=====================================================================
B . 0.75 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 32 - Model: AlexNet
images/sec > Higher Is Better
A . 165.42 |===================================================================
B . 166.20 |===================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
A . 90.58 |====================================================================
B . 90.62 |====================================================================
oneDNN 2.7
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
A . 9.39398 |==================================================================
B . 9.32817 |==================================================================
oneDNN 2.7
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
A . 5.85680 |===============================================================
B . 6.10103 |==================================================================
oneDNN 2.7
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
A . 0.942884 |=================================================================
B . 0.943897 |=================================================================
JPEG XL Decoding libjxl 0.7
CPU Threads: All
MP/s > Higher Is Better
A . 293.80 |==============================================================
B . 318.09 |===================================================================
QuadRay 2022.05.25
Scene: 5 - Resolution: 4K
FPS > Higher Is Better
A . 0.96 |=====================================================================
B . 0.89 |================================================================
QuadRay 2022.05.25
Scene: 2 - Resolution: 4K
FPS > Higher Is Better
A . 3.70 |=====================================================================
B . 3.69 |=====================================================================
QuadRay 2022.05.25
Scene: 3 - Resolution: 4K
FPS > Higher Is Better
A . 3.15 |=====================================================================
B . 3.14 |=====================================================================
QuadRay 2022.05.25
Scene: 1 - Resolution: 4K
FPS > Higher Is Better
A . 12.96 |====================================================================
B . 13.02 |====================================================================
QuadRay 2022.05.25
Scene: 5 - Resolution: 1080p
FPS > Higher Is Better
A . 3.90 |=====================================================================
B . 3.62 |================================================================
QuadRay 2022.05.25
Scene: 3 - Resolution: 1080p
FPS > Higher Is Better
A . 11.69 |==================================================================
B . 12.00 |====================================================================
QuadRay 2022.05.25
Scene: 2 - Resolution: 1080p
FPS > Higher Is Better
A . 13.88 |====================================================================
B . 13.94 |====================================================================
QuadRay 2022.05.25
Scene: 1 - Resolution: 1080p
FPS > Higher Is Better
A . 49.15 |====================================================================
B . 49.44 |====================================================================
AOM AV1 3.5
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 36.10 |====================================================================
B . 36.23 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
A . 121.96 |===================================================================
B . 122.86 |===================================================================
AOM AV1 3.5
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 49.91 |====================================================================
B . 49.74 |====================================================================
oneDNN 2.7
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
A . 3.68436 |==================================================================
B . 3.70584 |==================================================================
oneDNN 2.7
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
A . 1.46205 |==================================================================
B . 1.46602 |==================================================================
oneDNN 2.7
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
A . 0.702154 |================================================================
B . 0.708957 |=================================================================
Y-Cruncher 0.7.10.9513
Pi Digits To Calculate: 500M
Seconds < Lower Is Better
A . 13.27 |====================================================================
B . 13.17 |===================================================================
AOM AV1 3.5
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 50.44 |===================================================================
B . 51.13 |====================================================================
oneDNN 2.7
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
A . 0.532325 |=================================================================
B . 0.531154 |=================================================================
oneDNN 2.7
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
ms < Lower Is Better
A . 1.62133 |==================================================================
B . 1.63323 |==================================================================
oneDNN 2.7
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
A . 0.315521 |================================================================
B . 0.318917 |=================================================================
FLAC Audio Encoding 1.4
WAV To FLAC
Seconds < Lower Is Better
A . 11.73 |====================================================================
B . 11.65 |====================================================================
SMHasher 2022-08-22
Hash: FarmHash128
cycles/hash < Lower Is Better
A . 58.62 |====================================================================
B . 58.98 |====================================================================
SMHasher 2022-08-22
Hash: FarmHash128
MiB/sec > Higher Is Better
A . 15031.76 |=================================================================
B . 14949.14 |=================================================================
AOM AV1 3.5
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 68.68 |===================================================================
B . 69.48 |====================================================================
SMHasher 2022-08-22
Hash: MeowHash x86_64 AES-NI
cycles/hash < Lower Is Better
A . 56.05 |====================================================================
B . 56.35 |====================================================================
SMHasher 2022-08-22
Hash: MeowHash x86_64 AES-NI
MiB/sec > Higher Is Better
A . 43409.48 |=================================================================
B . 43176.20 |=================================================================
AOM AV1 3.5
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
A . 70.93 |====================================================================
B . 71.00 |====================================================================
oneDNN 2.7
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
A . 5.36365 |==================================================================
B . 5.36040 |==================================================================
oneDNN 2.7
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
A . 3.03247 |==================================================================
B . 3.02950 |==================================================================
oneDNN 2.7
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
A . 1.18542 |=================================================================
B . 1.20283 |==================================================================
AOM AV1 3.5
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 71.08 |====================================================================
B . 64.53 |==============================================================
TensorFlow 2.10
Device: CPU - Batch Size: 512 - Model: ResNet-50
images/sec > Higher Is Better
libavif avifenc 0.11
Encoder Speed: 6, Lossless
Seconds < Lower Is Better
A . 8.133 |====================================================================
B . 8.018 |===================================================================
SMHasher 2022-08-22
Hash: Spooky32
cycles/hash < Lower Is Better
A . 33.91 |====================================================================
B . 34.11 |====================================================================
SMHasher 2022-08-22
Hash: Spooky32
MiB/sec > Higher Is Better
A . 16441.99 |=================================================================
B . 16367.89 |=================================================================
oneDNN 2.7
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
A . 9.47087 |==================================================================
B . 9.45878 |==================================================================
oneDNN 2.7
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
A . 8.96869 |=================================================================
B . 9.13721 |==================================================================
oneDNN 2.7
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
A . 4.25152 |==================================================================
B . 4.24314 |==================================================================
SMHasher 2022-08-22
Hash: FarmHash32 x86_64 AVX
cycles/hash < Lower Is Better
A . 33.00 |====================================================================
B . 33.10 |====================================================================
SMHasher 2022-08-22
Hash: FarmHash32 x86_64 AVX
MiB/sec > Higher Is Better
A . 29625.18 |=================================================================
B . 29456.09 |=================================================================
SMHasher 2022-08-22
Hash: fasthash32
cycles/hash < Lower Is Better
A . 27.77 |====================================================================
B . 27.92 |====================================================================
SMHasher 2022-08-22
Hash: fasthash32
MiB/sec > Higher Is Better
A . 6990.21 |==================================================================
B . 6957.30 |==================================================================
libavif avifenc 0.11
Encoder Speed: 6
Seconds < Lower Is Better
A . 5.333 |====================================================================
B . 5.291 |===================================================================
SMHasher 2022-08-22
Hash: t1ha2_atonce
cycles/hash < Lower Is Better
A . 25.84 |====================================================================
B . 25.85 |====================================================================
SMHasher 2022-08-22
Hash: t1ha2_atonce
MiB/sec > Higher Is Better
A . 16567.35 |=================================================================
B . 16469.72 |=================================================================
SMHasher 2022-08-22
Hash: t1ha0_aes_avx2 x86_64
cycles/hash < Lower Is Better
A . 25.55 |===================================================================
B . 25.77 |====================================================================
SMHasher 2022-08-22
Hash: t1ha0_aes_avx2 x86_64
MiB/sec > Higher Is Better
A . 81587.16 |=================================================================
B . 81123.62 |=================================================================
AOM AV1 3.5
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 133.52 |================================================================
B . 139.06 |===================================================================
libavif avifenc 0.11
Encoder Speed: 10, Lossless
Seconds < Lower Is Better
A . 4.016 |==================================================================
B . 4.141 |====================================================================
SMHasher 2022-08-22
Hash: wyhash
cycles/hash < Lower Is Better
A . 18.00 |===================================================================
B . 18.23 |====================================================================
SMHasher 2022-08-22
Hash: wyhash
MiB/sec > Higher Is Better
A . 24952.00 |=================================================================
B . 24812.67 |=================================================================
AOM AV1 3.5
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 173.63 |==================================================================
B . 176.02 |===================================================================
AOM AV1 3.5
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
A . 202.0 |====================================================================
B . 183.6 |==============================================================
oneDNN 2.7
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
A . 4.50304 |==================================================================
B . 4.49511 |==================================================================
oneDNN 2.7
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
A . 2.87135 |==================================================================
B . 2.88067 |==================================================================
oneDNN 2.7
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
A . 1.13062 |==================================================================
B . 1.13382 |==================================================================