Tests for a future article. AMD EPYC 8324P 32-Core testing with a AMD Cinnabar (RCB1009C BIOS) and ASPEED on Ubuntu 23.10 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 2401110-NE-NEWTESTS900
new-tests
Tests for a future article. AMD EPYC 8324P 32-Core testing with a AMD Cinnabar (RCB1009C BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite.
Zen 1 - EPYC 7601:
Processor: AMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads), Motherboard: TYAN B8026T70AE24HR (V1.02.B10 BIOS), Chipset: AMD 17h, Memory: 128GB, Disk: 280GB INTEL SSDPE21D280GA + 1000GB INTEL SSDPE2KX010T8, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, OpenGL: 4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080
b:
Processor: AMD EPYC 8534PN 64-Core @ 2.00GHz (64 Cores / 128 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: llvmpipe, Network: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
c:
Processor: AMD EPYC 8534PN 64-Core @ 2.00GHz (64 Cores / 128 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: llvmpipe, Network: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
32:
Processor: AMD EPYC 8534PN 32-Core @ 2.05GHz (32 Cores / 64 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: ASPEED, Network: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
32 z:
Processor: AMD EPYC 8534PN 32-Core @ 2.05GHz (32 Cores / 64 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: ASPEED, Network: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
32 c:
Processor: AMD EPYC 8324P 32-Core @ 2.65GHz (32 Cores / 64 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: ASPEED, Network: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
32 d:
Processor: AMD EPYC 8324P 32-Core @ 2.65GHz (32 Cores / 64 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: ASPEED, Network: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
CPU Power Consumption Monitor
Phoronix Test Suite System Monitoring
Watts
Zen 1 - EPYC 7601 . MIN: 243 AVG: 586 MAX: 718
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: ResNet-50
batches/sec > Higher Is Better
32 ... 52.44 |================================================================
32 z . 52.78 |================================================================
32 c . 53.00 |=================================================================
32 d . 53.30 |=================================================================
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: ResNet-152
batches/sec > Higher Is Better
32 ... 19.04 |=================================================================
32 z . 18.92 |=================================================================
32 c . 18.86 |================================================================
32 d . 18.86 |================================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
batches/sec > Higher Is Better
32 ... 40.19 |=================================================================
32 z . 39.96 |================================================================
32 c . 40.32 |=================================================================
32 d . 40.31 |=================================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: ResNet-152
batches/sec > Higher Is Better
32 ... 15.61 |=================================================================
32 z . 15.51 |=================================================================
32 c . 15.32 |================================================================
32 d . 15.35 |================================================================
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
32 ... 9.85 |===============================================================
32 z . 9.82 |===============================================================
32 c . 10.04 |================================================================
32 d . 10.21 |=================================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
32 ... 7.17 |==================================================================
32 z . 7.11 |=================================================================
32 c . 7.18 |==================================================================
32 d . 7.15 |==================================================================
Quicksilver 20230818
Input: CORAL2 P1
Figure Of Merit Per Watt > Higher Is Better
Zen 1 - EPYC 7601 . 22248.55 |=================================================
Quicksilver 20230818
Input: CORAL2 P2
Figure Of Merit Per Watt > Higher Is Better
Zen 1 - EPYC 7601 . 27116.87 |=================================================
Quicksilver 20230818
Input: CTS2
Figure Of Merit Per Watt > Higher Is Better
Zen 1 - EPYC 7601 . 18307.66 |=================================================
Quicksilver 20230818
Input: CORAL2 P1
Figure Of Merit > Higher Is Better
Zen 1 - EPYC 7601 . 12996667 |==============================
b ................. 21180000 |=================================================
c ................. 21250000 |=================================================
32 ................ 18790000 |===========================================
32 z .............. 18760000 |===========================================
32 c .............. 1040000 |==
32 d .............. 18840000 |===========================================
Quicksilver 20230818
Input: CORAL2 P2
Figure Of Merit > Higher Is Better
Zen 1 - EPYC 7601 . 15013333 |==============================================
b ................. 16140000 |=================================================
c ................. 16150000 |=================================================
32 ................ 15350000 |===============================================
32 z .............. 15230000 |==============================================
32 c .............. 15180000 |==============================================
32 d .............. 15100000 |==============================================
Quicksilver 20230818
Input: CTS2
Figure Of Merit > Higher Is Better
Zen 1 - EPYC 7601 . 11426667 |==================================
b ................. 16270000 |=================================================
c ................. 16260000 |=================================================
32 ................ 14320000 |===========================================
32 z .............. 14290000 |===========================================
32 c .............. 14430000 |===========================================
32 d .............. 14280000 |===========================================
FFmpeg 6.1
Encoder: libx265 - Scenario: Live
FPS > Higher Is Better
32 ... 109.84 |================================================================
32 z . 110.37 |================================================================
32 c . 110.02 |================================================================
32 d . 110.29 |================================================================
FFmpeg 6.1
Encoder: libx265 - Scenario: Upload
FPS > Higher Is Better
32 ... 22.28 |=================================================================
32 z . 22.20 |=================================================================
32 c . 22.21 |=================================================================
32 d . 22.22 |=================================================================
FFmpeg 6.1
Encoder: libx265 - Scenario: Platform
FPS > Higher Is Better
32 ... 45.13 |=================================================================
32 z . 45.05 |=================================================================
32 c . 45.13 |=================================================================
32 d . 44.97 |=================================================================
FFmpeg 6.1
Encoder: libx265 - Scenario: Video On Demand
FPS > Higher Is Better
32 ... 45.18 |=================================================================
32 z . 45.08 |=================================================================
32 c . 44.95 |=================================================================
32 d . 45.10 |=================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16 - Device: CPU
FPS > Higher Is Better
32 ... 17.17 |=================================================================
32 z . 17.18 |=================================================================
32 c . 16.51 |==============================================================
32 d . 16.54 |===============================================================
OpenVINO 2023.2.dev
Model: Person Detection FP16 - Device: CPU
FPS > Higher Is Better
32 ... 151.45 |================================================================
32 z . 150.06 |===============================================================
32 c . 150.07 |===============================================================
32 d . 151.25 |================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP32 - Device: CPU
FPS > Higher Is Better
32 ... 150.80 |================================================================
32 z . 150.37 |================================================================
32 c . 150.84 |================================================================
32 d . 150.25 |================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16 - Device: CPU
FPS > Higher Is Better
32 ... 1190.42 |===============================================================
32 z . 1197.46 |===============================================================
32 c . 1166.56 |=============================================================
32 d . 1166.83 |=============================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
32 ... 32.82 |=================================================================
32 z . 32.81 |=================================================================
32 c . 31.22 |==============================================================
32 d . 31.20 |==============================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16 - Device: CPU
FPS > Higher Is Better
32 ... 3921.50 |===============================================================
32 z . 3924.86 |===============================================================
32 c . 3877.91 |==============================================================
32 d . 3869.70 |==============================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16 - Device: CPU
FPS > Higher Is Better
32 ... 576.18 |================================================================
32 z . 579.41 |================================================================
32 c . 554.68 |=============================================================
32 d . 553.65 |=============================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
32 ... 1960.18 |===============================================================
32 z . 1964.99 |===============================================================
32 c . 1860.99 |============================================================
32 d . 1862.24 |============================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16 - Device: CPU
FPS > Higher Is Better
32 ... 1704.26 |===============================================================
32 z . 1704.02 |===============================================================
32 c . 1627.93 |============================================================
32 d . 1628.91 |============================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16-INT8 - Device: CPU
FPS > Higher Is Better
32 ... 5747.65 |===============================================================
32 z . 5751.58 |===============================================================
32 c . 5416.31 |===========================================================
32 d . 5423.13 |===========================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
FPS > Higher Is Better
32 ... 666.22 |================================================================
32 z . 666.30 |================================================================
32 c . 632.92 |=============================================================
32 d . 634.50 |=============================================================
OpenVINO 2023.2.dev
Model: Machine Translation EN To DE FP16 - Device: CPU
FPS > Higher Is Better
32 ... 199.90 |================================================================
32 z . 201.15 |================================================================
32 c . 194.21 |==============================================================
32 d . 195.05 |==============================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
32 ... 3300.99 |===============================================================
32 z . 3299.93 |===============================================================
32 c . 3099.20 |===========================================================
32 d . 3100.95 |===========================================================
OpenVINO 2023.2.dev
Model: Person Vehicle Bike Detection FP16 - Device: CPU
FPS > Higher Is Better
32 ... 1741.57 |===============================================================
32 z . 1735.64 |===============================================================
32 c . 1694.01 |=============================================================
32 d . 1696.50 |=============================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16 - Device: CPU
FPS > Higher Is Better
32 ... 898.60 |================================================================
32 z . 896.69 |================================================================
32 c . 853.38 |=============================================================
32 d . 848.62 |============================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
FPS > Higher Is Better
32 ... 40123.62 |==============================================================
32 z . 40101.80 |==============================================================
32 c . 39562.87 |=============================================================
32 d . 39843.05 |==============================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
FPS > Higher Is Better
32 ... 745.00 |================================================================
32 z . 730.82 |===============================================================
32 c . 692.02 |===========================================================
32 d . 690.24 |===========================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
FPS > Higher Is Better
32 ... 52441.94 |==============================================================
32 z . 52475.39 |==============================================================
32 c . 52382.31 |==============================================================
32 d . 52344.60 |==============================================================
Embree 4.3
Binary: Pathtracer - Model: Crown
Frames Per Second > Higher Is Better
32 ... 36.96 |================================================================
32 z . 37.25 |=================================================================
32 c . 35.91 |===============================================================
32 d . 36.28 |===============================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Crown
Frames Per Second > Higher Is Better
32 ... 37.30 |================================================================
32 z . 37.68 |=================================================================
32 c . 37.00 |================================================================
32 d . 36.94 |================================================================
Embree 4.3
Binary: Pathtracer - Model: Asian Dragon
Frames Per Second > Higher Is Better
32 ... 41.60 |=================================================================
32 z . 41.82 |=================================================================
32 c . 41.57 |=================================================================
32 d . 41.56 |=================================================================
Embree 4.3
Binary: Pathtracer - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
32 ... 37.28 |=================================================================
32 z . 36.86 |================================================================
32 c . 37.44 |=================================================================
32 d . 37.41 |=================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Asian Dragon
Frames Per Second > Higher Is Better
32 ... 45.94 |================================================================
32 z . 46.31 |=================================================================
32 c . 45.46 |================================================================
32 d . 45.65 |================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
32 ... 38.94 |=================================================================
32 z . 39.11 |=================================================================
32 c . 39.00 |=================================================================
32 d . 39.14 |=================================================================
SVT-AV1 1.8
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
32 ... 5.801 |===============================================================
32 z . 5.899 |================================================================
32 c . 5.829 |===============================================================
32 d . 5.977 |=================================================================
SVT-AV1 1.8
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
32 ... 48.45 |======================================================
32 z . 58.72 |=================================================================
32 c . 47.25 |====================================================
32 d . 58.64 |=================================================================
SVT-AV1 1.8
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
32 ... 186.63 |================================================================
32 z . 185.56 |================================================================
32 c . 180.96 |==============================================================
32 d . 186.37 |================================================================
SVT-AV1 1.8
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
32 ... 185.67 |================================================================
32 z . 184.98 |================================================================
32 c . 183.90 |===============================================================
32 d . 184.10 |===============================================================
Xmrig 6.21
Variant: KawPow - Hash Count: 1M
H/s > Higher Is Better
32 ... 18777.2 |==============================================================
32 z . 18961.3 |===============================================================
32 c . 18947.3 |===============================================================
32 d . 18901.1 |===============================================================
Xmrig 6.21
Variant: Monero - Hash Count: 1M
H/s > Higher Is Better
32 ... 18845.5 |===============================================================
32 z . 18763.8 |===============================================================
32 c . 18897.5 |===============================================================
32 d . 18866.1 |===============================================================
Xmrig 6.21
Variant: Wownero - Hash Count: 1M
H/s > Higher Is Better
32 ... 25814.4 |===============================================================
32 z . 25943.7 |===============================================================
32 c . 25385.9 |==============================================================
32 d . 25396.8 |==============================================================
Xmrig 6.21
Variant: GhostRider - Hash Count: 1M
H/s > Higher Is Better
32 ... 4067.4 |===============================================================
32 z . 4038.6 |==============================================================
32 c . 4136.3 |================================================================
32 d . 4095.7 |===============================================================
Xmrig 6.21
Variant: CryptoNight-Heavy - Hash Count: 1M
H/s > Higher Is Better
32 ... 19004.5 |===============================================================
32 z . 18936.5 |===============================================================
32 c . 18783.9 |==============================================================
32 d . 18924.0 |===============================================================
Xmrig 6.21
Variant: CryptoNight-Femto UPX2 - Hash Count: 1M
H/s > Higher Is Better
32 ... 18860.1 |===============================================================
32 z . 18909.0 |===============================================================
32 c . 18887.5 |===============================================================
32 d . 18818.6 |===============================================================
TensorFlow 2.12
Device: CPU - Batch Size: 1 - Model: VGG-16
images/sec > Higher Is Better
32 ... 9.73 |==================================================================
32 z . 9.75 |==================================================================
32 c . 9.77 |==================================================================
32 d . 9.75 |==================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 1 - Model: AlexNet
images/sec > Higher Is Better
32 ... 32.12 |===============================================================
32 z . 31.92 |===============================================================
32 c . 33.14 |=================================================================
32 d . 33.02 |=================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: VGG-16
images/sec > Higher Is Better
32 ... 25.15 |=================================================================
32 z . 25.20 |=================================================================
32 c . 24.47 |===============================================================
32 d . 24.51 |===============================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
32 ... 272.93 |===============================================================
32 z . 274.97 |================================================================
32 c . 274.97 |================================================================
32 d . 276.19 |================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 1 - Model: GoogLeNet
images/sec > Higher Is Better
32 ... 28.99 |=================================================================
32 z . 28.71 |================================================================
32 c . 27.73 |==============================================================
32 d . 28.79 |=================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 1 - Model: ResNet-50
images/sec > Higher Is Better
32 ... 8.74 |==================================================================
32 z . 8.77 |==================================================================
32 c . 8.61 |=================================================================
32 d . 8.59 |=================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
32 ... 158.47 |================================================================
32 z . 155.77 |===============================================================
32 c . 157.60 |================================================================
32 d . 158.08 |================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
32 ... 51.34 |=================================================================
32 z . 51.57 |=================================================================
32 c . 51.56 |=================================================================
32 d . 51.49 |=================================================================
Neural Magic DeepSparse 1.6
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
32 ... 21.29 |=================================================================
32 z . 21.27 |=================================================================
32 c . 20.87 |================================================================
32 d . 21.09 |================================================================
Neural Magic DeepSparse 1.6
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
32 ... 836.42 |================================================================
32 z . 835.26 |================================================================
32 c . 816.28 |==============================================================
32 d . 815.98 |==============================================================
Neural Magic DeepSparse 1.6
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
32 ... 266.86 |================================================================
32 z . 266.98 |================================================================
32 c . 266.84 |================================================================
32 d . 266.53 |================================================================
Neural Magic DeepSparse 1.6
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
32 ... 2208.15 |===============================================================
32 z . 2199.49 |===============================================================
32 c . 2195.92 |===============================================================
32 d . 2189.07 |==============================================================
Neural Magic DeepSparse 1.6
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
32 ... 123.02 |================================================================
32 z . 122.96 |================================================================
32 c . 122.33 |================================================================
32 d . 121.80 |===============================================================
Neural Magic DeepSparse 1.6
Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
32 ... 26.06 |=================================================================
32 z . 26.08 |=================================================================
32 c . 25.82 |================================================================
32 d . 25.79 |================================================================
Neural Magic DeepSparse 1.6
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
32 ... 266.88 |================================================================
32 z . 267.84 |================================================================
32 c . 266.03 |================================================================
32 d . 266.28 |================================================================
Neural Magic DeepSparse 1.6
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
32 ... 123.88 |================================================================
32 z . 123.79 |================================================================
32 c . 123.15 |================================================================
32 d . 122.93 |================================================================
Neural Magic DeepSparse 1.6
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
32 ... 182.51 |================================================================
32 z . 182.76 |================================================================
32 c . 181.10 |===============================================================
32 d . 181.12 |===============================================================
Neural Magic DeepSparse 1.6
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
32 ... 40.17 |=================================================================
32 z . 39.95 |=================================================================
32 c . 38.77 |===============================================================
32 d . 38.83 |===============================================================
Neural Magic DeepSparse 1.6
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
32 ... 383.97 |================================================================
32 z . 385.65 |================================================================
32 c . 384.32 |================================================================
32 d . 381.78 |===============================================================
Neural Magic DeepSparse 1.6
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
32 ... 21.23 |=================================================================
32 z . 21.29 |=================================================================
32 c . 21.04 |================================================================
32 d . 21.07 |================================================================
CacheBench
Test: Read
MB/s > Higher Is Better
32 ... 7616.09 |===============================================================
32 z . 7616.33 |===============================================================
32 c . 7615.95 |===============================================================
32 d . 7615.83 |===============================================================
CacheBench
Test: Write
MB/s > Higher Is Better
32 ... 45646.09 |==============================================================
32 z . 45646.82 |==============================================================
32 c . 45645.09 |==============================================================
32 d . 45643.04 |==============================================================
CacheBench
Test: Read / Modify / Write
MB/s > Higher Is Better
32 ... 87227.59 |==============================================================
32 z . 87218.21 |==============================================================
32 c . 87238.01 |==============================================================
32 d . 87854.12 |==============================================================
QuantLib 1.32
Configuration: Multi-Threaded
MFLOPS > Higher Is Better
32 ... 107079.2 |==============================================================
32 z . 107381.6 |==============================================================
32 c . 98916.2 |=========================================================
32 d . 98618.7 |=========================================================
7-Zip Compression 22.01
Test: Compression Rating
MIPS > Higher Is Better
32 ... 241545 |================================================================
32 z . 242399 |================================================================
32 c . 240287 |===============================================================
32 d . 241191 |================================================================
7-Zip Compression 22.01
Test: Decompression Rating
MIPS > Higher Is Better
32 ... 212209 |================================================================
32 z . 211584 |================================================================
32 c . 211815 |================================================================
32 d . 211383 |================================================================
RocksDB 8.0
Test: Random Read
Op/s > Higher Is Better
32 ... 176770468 |=============================================================
32 z . 177167636 |=============================================================
32 c . 160665305 |=======================================================
32 d . 160707812 |=======================================================
RocksDB 8.0
Test: Update Random
Op/s > Higher Is Better
32 ... 630575 |===============================================================
32 z . 636242 |================================================================
32 c . 633688 |================================================================
32 d . 630478 |===============================================================
RocksDB 8.0
Test: Read While Writing
Op/s > Higher Is Better
32 ... 4284691 |=============================================================
32 z . 4364996 |==============================================================
32 c . 4419497 |===============================================================
32 d . 4244478 |=============================================================
RocksDB 8.0
Test: Read Random Write Random
Op/s > Higher Is Better
32 ... 2373654 |===============================================================
32 z . 2361270 |===============================================================
32 c . 2327800 |==============================================================
32 d . 2351568 |==============================================================
Speedb 2.7
Test: Random Read
Op/s > Higher Is Better
32 ... 179685954 |=============================================================
32 z . 179434924 |=============================================================
32 c . 163202721 |=======================================================
32 d . 163512432 |========================================================
Speedb 2.7
Test: Update Random
Op/s > Higher Is Better
32 ... 314123 |===============================================================
32 z . 314114 |===============================================================
32 c . 317758 |================================================================
32 d . 313683 |===============================================================
Speedb 2.7
Test: Read While Writing
Op/s > Higher Is Better
32 ... 7457600 |=============================================================
32 z . 7210235 |===========================================================
32 c . 7746346 |===============================================================
32 d . 7105602 |==========================================================
Speedb 2.7
Test: Read Random Write Random
Op/s > Higher Is Better
32 ... 2231403 |==============================================================
32 z . 2259344 |===============================================================
32 c . 2229494 |==============================================================
32 d . 2215896 |==============================================================
Meta Performance Per Watts
Performance Per Watts
Performance Per Watts > Higher Is Better
Zen 1 - EPYC 7601 . 13064001.66 |==============================================
Llama.cpp b1808
Model: llama-2-7b.Q4_0.gguf
Tokens Per Second > Higher Is Better
32 ... 29.75 |=================================================================
32 z . 29.90 |=================================================================
32 c . 29.74 |=================================================================
32 d . 29.85 |=================================================================
Llama.cpp b1808
Model: llama-2-13b.Q4_0.gguf
Tokens Per Second > Higher Is Better
32 ... 17.94 |================================================================
32 z . 17.87 |================================================================
32 c . 17.87 |================================================================
32 d . 18.08 |=================================================================
Llama.cpp b1808
Model: llama-2-70b-chat.Q5_0.gguf
Tokens Per Second > Higher Is Better
32 ... 3.42 |==================================================================
32 z . 3.41 |==================================================================
32 c . 3.42 |==================================================================
32 d . 3.42 |==================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
32 ... 3404 |================================================================
32 z . 3406 |================================================================
32 c . 3493 |==================================================================
32 d . 3499 |==================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
32 ... 3451 |=================================================================
32 z . 3446 |=================================================================
32 c . 3515 |==================================================================
32 d . 3522 |==================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
32 ... 4049 |================================================================
32 z . 4048 |================================================================
32 c . 4157 |==================================================================
32 d . 4132 |==================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
32 ... 60673 |==============================================================
32 z . 61430 |===============================================================
32 c . 62802 |================================================================
32 d . 63336 |=================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
32 ... 116377 |===============================================================
32 z . 115669 |==============================================================
32 c . 118221 |================================================================
32 d . 118802 |================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
32 ... 61987 |================================================================
32 z . 62113 |================================================================
32 c . 63402 |=================================================================
32 d . 62787 |================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
32 ... 116566 |==============================================================
32 z . 116972 |==============================================================
32 c . 118980 |================================================================
32 d . 119783 |================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
32 ... 71361 |===============================================================
32 z . 71495 |===============================================================
32 c . 73024 |=================================================================
32 d . 73329 |=================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
32 ... 136464 |===============================================================
32 z . 136312 |==============================================================
32 c . 139685 |================================================================
32 d . 139445 |================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16 - Device: CPU
ms < Lower Is Better
32 ... 929.23 |==============================================================
32 z . 927.57 |=============================================================
32 c . 964.20 |================================================================
32 d . 965.35 |================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP16 - Device: CPU
ms < Lower Is Better
32 ... 105.48 |===============================================================
32 z . 106.44 |================================================================
32 c . 106.43 |================================================================
32 d . 105.64 |================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP32 - Device: CPU
ms < Lower Is Better
32 ... 105.97 |================================================================
32 z . 106.24 |================================================================
32 c . 105.91 |================================================================
32 d . 106.32 |================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16 - Device: CPU
ms < Lower Is Better
32 ... 13.36 |================================================================
32 z . 13.29 |===============================================================
32 c . 13.65 |=================================================================
32 d . 13.65 |=================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
32 ... 486.65 |=============================================================
32 z . 486.03 |=============================================================
32 c . 510.79 |================================================================
32 d . 510.90 |================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16 - Device: CPU
ms < Lower Is Better
32 ... 3.91 |================================================================
32 z . 3.90 |================================================================
32 c . 4.03 |==================================================================
32 d . 4.03 |==================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16 - Device: CPU
ms < Lower Is Better
32 ... 27.69 |==============================================================
32 z . 27.53 |==============================================================
32 c . 28.77 |=================================================================
32 d . 28.82 |=================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
32 ... 8.07 |===============================================================
32 z . 8.05 |==============================================================
32 c . 8.52 |==================================================================
32 d . 8.52 |==================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16 - Device: CPU
ms < Lower Is Better
32 ... 18.69 |==============================================================
32 z . 18.69 |==============================================================
32 c . 19.58 |=================================================================
32 d . 19.56 |=================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16-INT8 - Device: CPU
ms < Lower Is Better
32 ... 5.41 |==============================================================
32 z . 5.42 |==============================================================
32 c . 5.78 |==================================================================
32 d . 5.78 |==================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
ms < Lower Is Better
32 ... 23.95 |==============================================================
32 z . 23.95 |==============================================================
32 c . 25.22 |=================================================================
32 d . 25.16 |=================================================================
OpenVINO 2023.2.dev
Model: Machine Translation EN To DE FP16 - Device: CPU
ms < Lower Is Better
32 ... 79.82 |===============================================================
32 z . 79.39 |===============================================================
32 c . 82.18 |=================================================================
32 d . 81.87 |=================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
32 ... 9.56 |=============================================================
32 z . 9.56 |=============================================================
32 c . 10.22 |=================================================================
32 d . 10.21 |=================================================================
OpenVINO 2023.2.dev
Model: Person Vehicle Bike Detection FP16 - Device: CPU
ms < Lower Is Better
32 ... 9.12 |================================================================
32 z . 9.16 |================================================================
32 c . 9.39 |==================================================================
32 d . 9.37 |==================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16 - Device: CPU
ms < Lower Is Better
32 ... 35.51 |=============================================================
32 z . 35.59 |==============================================================
32 c . 37.40 |=================================================================
32 d . 37.61 |=================================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
ms < Lower Is Better
32 ... 0.65 |================================================================
32 z . 0.66 |=================================================================
32 c . 0.67 |==================================================================
32 d . 0.67 |==================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
ms < Lower Is Better
32 ... 42.87 |============================================================
32 z . 43.71 |=============================================================
32 c . 46.17 |=================================================================
32 d . 46.28 |=================================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
ms < Lower Is Better
32 ... 0.48 |==================================================================
32 z . 0.47 |=================================================================
32 c . 0.48 |==================================================================
32 d . 0.48 |==================================================================
Neural Magic DeepSparse 1.6
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
32 ... 747.07 |===============================================================
32 z . 745.18 |===============================================================
32 c . 753.12 |================================================================
32 d . 751.21 |================================================================
Neural Magic DeepSparse 1.6
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
32 ... 19.11 |===============================================================
32 z . 19.13 |===============================================================
32 c . 19.58 |=================================================================
32 d . 19.59 |=================================================================
Neural Magic DeepSparse 1.6
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
32 ... 59.86 |=================================================================
32 z . 59.87 |=================================================================
32 c . 59.90 |=================================================================
32 d . 59.97 |=================================================================
Neural Magic DeepSparse 1.6
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
32 ... 7.2332 |================================================================
32 z . 7.2610 |================================================================
32 c . 7.2738 |================================================================
32 d . 7.2896 |================================================================
Neural Magic DeepSparse 1.6
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
32 ... 129.87 |================================================================
32 z . 129.80 |================================================================
32 c . 130.48 |================================================================
32 d . 130.79 |================================================================
Neural Magic DeepSparse 1.6
Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
32 ... 607.94 |================================================================
32 z . 608.13 |================================================================
32 c . 611.60 |================================================================
32 d . 611.44 |================================================================
Neural Magic DeepSparse 1.6
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
32 ... 59.88 |=================================================================
32 z . 59.67 |=================================================================
32 c . 60.06 |=================================================================
32 d . 60.03 |=================================================================
Neural Magic DeepSparse 1.6
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
32 ... 128.82 |================================================================
32 z . 128.85 |================================================================
32 c . 129.54 |================================================================
32 d . 129.81 |================================================================
Neural Magic DeepSparse 1.6
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
32 ... 87.49 |================================================================
32 z . 87.33 |================================================================
32 c . 88.20 |=================================================================
32 d . 88.23 |=================================================================
Neural Magic DeepSparse 1.6
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
32 ... 396.29 |==============================================================
32 z . 397.96 |==============================================================
32 c . 411.34 |================================================================
32 d . 410.33 |================================================================
Neural Magic DeepSparse 1.6
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
32 ... 41.63 |=================================================================
32 z . 41.44 |================================================================
32 c . 41.59 |=================================================================
32 d . 41.84 |=================================================================
Neural Magic DeepSparse 1.6
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
32 ... 747.31 |================================================================
32 z . 746.13 |================================================================
32 c . 751.93 |================================================================
32 d . 750.40 |================================================================
DaCapo Benchmark 23.11
Java Test: Jython
msec < Lower Is Better
32 ... 6703 |================================================================
32 z . 6773 |=================================================================
32 c . 6865 |==================================================================
32 d . 6769 |=================================================================
DaCapo Benchmark 23.11
Java Test: Eclipse
msec < Lower Is Better
32 ... 12656 |================================================================
32 z . 12735 |=================================================================
32 c . 12826 |=================================================================
32 d . 12768 |=================================================================
DaCapo Benchmark 23.11
Java Test: GraphChi
msec < Lower Is Better
32 ... 3536 |================================================================
32 z . 3630 |==================================================================
32 c . 3538 |================================================================
32 d . 3656 |==================================================================
DaCapo Benchmark 23.11
Java Test: Tradesoap
msec < Lower Is Better
32 ... 5403 |==================================================================
32 z . 5168 |===============================================================
32 c . 5366 |==================================================================
32 d . 5149 |===============================================================
DaCapo Benchmark 23.11
Java Test: Tradebeans
msec < Lower Is Better
32 ... 8561 |==================================================================
32 z . 8600 |==================================================================
32 c . 8520 |=================================================================
32 d . 8380 |================================================================
DaCapo Benchmark 23.11
Java Test: Spring Boot
msec < Lower Is Better
32 ... 2444 |================================================================
32 z . 2460 |================================================================
32 c . 2533 |==================================================================
32 d . 2452 |================================================================
DaCapo Benchmark 23.11
Java Test: Apache Kafka
msec < Lower Is Better
32 ... 5110 |==================================================================
32 z . 5121 |==================================================================
32 c . 5111 |==================================================================
32 d . 5114 |==================================================================
DaCapo Benchmark 23.11
Java Test: Apache Tomcat
msec < Lower Is Better
32 ... 2107 |==================================================================
32 z . 2082 |=================================================================
32 c . 2094 |=================================================================
32 d . 2112 |==================================================================
DaCapo Benchmark 23.11
Java Test: jMonkeyEngine
msec < Lower Is Better
32 ... 6914 |==================================================================
32 z . 6917 |==================================================================
32 c . 6917 |==================================================================
32 d . 6916 |==================================================================
DaCapo Benchmark 23.11
Java Test: Apache Cassandra
msec < Lower Is Better
32 ... 5946 |==================================================================
32 z . 5938 |==================================================================
32 c . 5955 |==================================================================
32 d . 5927 |==================================================================
DaCapo Benchmark 23.11
Java Test: Apache Xalan XSLT
msec < Lower Is Better
32 ... 871 |===================================================================
32 z . 859 |==================================================================
32 c . 852 |==================================================================
32 d . 861 |==================================================================
DaCapo Benchmark 23.11
Java Test: Batik SVG Toolkit
msec < Lower Is Better
32 ... 1733 |==================================================================
32 z . 1723 |=================================================================
32 c . 1718 |=================================================================
32 d . 1738 |==================================================================
DaCapo Benchmark 23.11
Java Test: H2 Database Engine
msec < Lower Is Better
32 ... 2675 |================================================================
32 z . 2655 |===============================================================
32 c . 2773 |==================================================================
32 d . 2634 |===============================================================
DaCapo Benchmark 23.11
Java Test: FOP Print Formatter
msec < Lower Is Better
32 ... 751 |==================================================================
32 z . 696 |=============================================================
32 c . 764 |===================================================================
32 d . 758 |==================================================================
DaCapo Benchmark 23.11
Java Test: PMD Source Code Analyzer
msec < Lower Is Better
32 ... 1784 |============================================================
32 z . 1820 |=============================================================
32 c . 1966 |==================================================================
32 d . 1833 |==============================================================
DaCapo Benchmark 23.11
Java Test: Apache Lucene Search Index
msec < Lower Is Better
32 ... 4613 |==================================================================
32 z . 4589 |==================================================================
32 c . 4580 |==================================================================
32 d . 4602 |==================================================================
DaCapo Benchmark 23.11
Java Test: Apache Lucene Search Engine
msec < Lower Is Better
32 ... 1402 |=================================================================
32 z . 1425 |==================================================================
32 c . 1379 |================================================================
32 d . 1433 |==================================================================
DaCapo Benchmark 23.11
Java Test: Avrora AVR Simulation Framework
msec < Lower Is Better
32 ... 5613 |==================================================================
32 z . 5441 |================================================================
32 c . 5561 |=================================================================
32 d . 5572 |==================================================================
DaCapo Benchmark 23.11
Java Test: BioJava Biological Data Framework
msec < Lower Is Better
32 ... 7874 |==================================================================
32 z . 7858 |==================================================================
32 c . 7904 |==================================================================
32 d . 7907 |==================================================================
DaCapo Benchmark 23.11
Java Test: Zxing 1D/2D Barcode Image Processing
msec < Lower Is Better
32 ... 609 |===================================================================
32 z . 599 |==================================================================
32 c . 569 |===============================================================
32 d . 599 |==================================================================
DaCapo Benchmark 23.11
Java Test: H2O In-Memory Platform For Machine Learning
msec < Lower Is Better
32 ... 3974 |==================================================================
32 z . 3868 |================================================================
32 c . 3979 |==================================================================
32 d . 3755 |==============================================================
Y-Cruncher 0.8.3
Pi Digits To Calculate: 500M
Seconds < Lower Is Better
Zen 1 - EPYC 7601 . 15.693 |===================================================
b ................. 5.202 |=================
c ................. 5.213 |=================
32 ................ 5.656 |==================
32 z .............. 5.685 |==================
32 c .............. 5.783 |===================
32 d .............. 5.751 |===================
Y-Cruncher 0.8.3
Pi Digits To Calculate: 1B
Seconds < Lower Is Better
Zen 1 - EPYC 7601 . 33.92 |====================================================
b ................. 10.42 |================
c ................. 10.48 |================
32 ................ 11.68 |==================
32 z .............. 11.60 |==================
32 c .............. 11.90 |==================
32 d .............. 11.98 |==================
OpenFOAM 10
Input: drivaerFastback, Small Mesh Size - Mesh Time
Seconds < Lower Is Better
32 ... 28.37 |============================================================
32 z . 30.75 |=================================================================
32 c . 30.54 |=================================================================
32 d . 30.72 |=================================================================
OpenFOAM 10
Input: drivaerFastback, Small Mesh Size - Execution Time
Seconds < Lower Is Better
32 ... 72.81 |=================================================================
32 z . 71.20 |================================================================
32 c . 72.38 |=================================================================
32 d . 72.31 |=================================================================
Timed FFmpeg Compilation 6.1
Time To Compile
Seconds < Lower Is Better
32 ... 23.56 |===============================================================
32 z . 23.76 |===============================================================
32 c . 24.45 |=================================================================
32 d . 24.30 |=================================================================
Timed Gem5 Compilation 23.0.1
Time To Compile
Seconds < Lower Is Better
32 ... 254.01 |============================================================
32 z . 272.61 |================================================================
32 c . 258.31 |=============================================================
32 d . 258.93 |=============================================================
Timed Linux Kernel Compilation 6.1
Build: defconfig
Seconds < Lower Is Better
32 ... 52.13 |===============================================================
32 z . 52.01 |===============================================================
32 c . 53.62 |=================================================================
32 d . 53.63 |=================================================================
Timed Linux Kernel Compilation 6.1
Build: allmodconfig
Seconds < Lower Is Better
32 ... 433.79 |=============================================================
32 z . 434.19 |=============================================================
32 c . 453.69 |================================================================
32 d . 452.61 |================================================================
Blender 4.0
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
32 ... 44.73 |=============================================================
32 z . 44.48 |=============================================================
32 c . 47.52 |=================================================================
32 d . 47.41 |=================================================================
Blender 4.0
Blend File: Classroom - Compute: CPU-Only
Seconds < Lower Is Better
32 ... 112.03 |============================================================
32 z . 112.09 |============================================================
32 c . 119.72 |================================================================
32 d . 119.57 |================================================================
Blender 4.0
Blend File: Fishy Cat - Compute: CPU-Only
Seconds < Lower Is Better
32 ... 55.65 |============================================================
32 z . 55.54 |============================================================
32 c . 59.58 |=================================================================
32 d . 59.79 |=================================================================
Blender 4.0
Blend File: Barbershop - Compute: CPU-Only
Seconds < Lower Is Better
32 ... 410.61 |==============================================================
32 z . 410.43 |==============================================================
32 c . 426.30 |================================================================
32 d . 426.37 |================================================================
Blender 4.0
Blend File: Pabellon Barcelona - Compute: CPU-Only
Seconds < Lower Is Better
32 ... 139.09 |============================================================
32 z . 138.60 |============================================================
32 c . 148.74 |================================================================
32 d . 148.56 |================================================================
Quicksilver 20230818
CPU Power Consumption Monitor
Watts < Lower Is Better
Zen 1 - EPYC 7601 . MIN: 243 AVG: 584 MAX: 648
Quicksilver 20230818
CPU Power Consumption Monitor
Watts < Lower Is Better
Zen 1 - EPYC 7601 . MIN: 255 AVG: 554 MAX: 595
Quicksilver 20230818
CPU Power Consumption Monitor
Watts < Lower Is Better
Zen 1 - EPYC 7601 . MIN: 259 AVG: 624 MAX: 662
Y-Cruncher 0.8.3
CPU Power Consumption Monitor
Watts < Lower Is Better
Zen 1 - EPYC 7601 . MIN: 262 AVG: 543 MAX: 712
Y-Cruncher 0.8.3
CPU Power Consumption Monitor
Watts < Lower Is Better
Zen 1 - EPYC 7601 . MIN: 263 AVG: 602 MAX: 718