AMD Ryzen Threadripper 7980X 64-Cores testing with a ASUS Pro WS TRX50-SAGE WIFI (0217 BIOS) and AMD Radeon RX 7900 XT 20GB on Ubuntu 23.10 via the Phoronix Test Suite.
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jan tr
AMD Ryzen Threadripper 7980X 64-Cores testing with a ASUS Pro WS TRX50-SAGE WIFI (0217 BIOS) and AMD Radeon RX 7900 XT 20GB on Ubuntu 23.10 via the Phoronix Test Suite.
a:
Processor: AMD Ryzen Threadripper 7980X 64-Cores @ 8.21GHz (64 Cores / 128 Threads), Motherboard: ASUS Pro WS TRX50-SAGE WIFI (0217 BIOS), Chipset: AMD Device 14a4, Memory: 128GB, Disk: 2000GB Corsair MP700 PRO + 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 7900 XT 20GB (2025/1249MHz), Audio: Realtek ALC1220, Monitor: DELL U2723QE, Network: Aquantia Device 04c0 + Intel I226-LM + MEDIATEK MT7922 802.11ax PCI
OS: Ubuntu 23.10, Kernel: 6.7.0-060700rc2daily20231126-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.56), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
b:
Processor: AMD Ryzen Threadripper 7980X 64-Cores @ 8.21GHz (64 Cores / 128 Threads), Motherboard: ASUS Pro WS TRX50-SAGE WIFI (0217 BIOS), Chipset: AMD Device 14a4, Memory: 128GB, Disk: 2000GB Corsair MP700 PRO + 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 7900 XT 20GB (2025/1249MHz), Audio: Realtek ALC1220, Monitor: DELL U2723QE, Network: Aquantia Device 04c0 + Intel I226-LM + MEDIATEK MT7922 802.11ax PCI
OS: Ubuntu 23.10, Kernel: 6.7.0-060700rc2daily20231126-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.56), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
c:
Processor: AMD Ryzen Threadripper 7980X 64-Cores @ 8.21GHz (64 Cores / 128 Threads), Motherboard: ASUS Pro WS TRX50-SAGE WIFI (0217 BIOS), Chipset: AMD Device 14a4, Memory: 128GB, Disk: 2000GB Corsair MP700 PRO + 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 7900 XT 20GB (2025/1249MHz), Audio: Realtek ALC1220, Monitor: DELL U2723QE, Network: Aquantia Device 04c0 + Intel I226-LM + MEDIATEK MT7922 802.11ax PCI
OS: Ubuntu 23.10, Kernel: 6.7.0-060700rc2daily20231126-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.56), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
d:
Processor: AMD Ryzen Threadripper 7980X 64-Cores @ 8.21GHz (64 Cores / 128 Threads), Motherboard: ASUS Pro WS TRX50-SAGE WIFI (0217 BIOS), Chipset: AMD Device 14a4, Memory: 128GB, Disk: 2000GB Corsair MP700 PRO + 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 7900 XT 20GB (2025/1249MHz), Audio: Realtek ALC1220, Monitor: DELL U2723QE, Network: Aquantia Device 04c0 + Intel I226-LM + MEDIATEK MT7922 802.11ax PCI
OS: Ubuntu 23.10, Kernel: 6.7.0-060700rc2daily20231126-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.56), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
LeelaChessZero 0.30
Backend: BLAS
Nodes Per Second > Higher Is Better
a . 515 |====================================================================
b . 505 |===================================================================
c . 530 |======================================================================
d . 513 |====================================================================
LeelaChessZero 0.30
Backend: Eigen
Nodes Per Second > Higher Is Better
a . 453 |=================================================================
b . 489 |======================================================================
c . 450 |================================================================
d . 453 |=================================================================
Neural Magic DeepSparse 1.6
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 21.89 |====================================================================
b . 21.93 |====================================================================
c . 21.91 |====================================================================
d . 21.89 |====================================================================
Neural Magic DeepSparse 1.6
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 365.46 |===================================================================
b . 364.81 |===================================================================
c . 365.05 |===================================================================
d . 364.35 |===================================================================
Neural Magic DeepSparse 1.6
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 915.99 |===================================================================
b . 912.78 |===================================================================
c . 912.54 |===================================================================
d . 912.78 |===================================================================
Neural Magic DeepSparse 1.6
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 8.7254 |===================================================================
b . 8.7560 |===================================================================
c . 8.7584 |===================================================================
d . 8.7558 |===================================================================
Neural Magic DeepSparse 1.6
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 274.18 |===================================================================
b . 274.78 |===================================================================
c . 274.62 |===================================================================
d . 274.73 |===================================================================
Neural Magic DeepSparse 1.6
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 29.16 |====================================================================
b . 29.10 |====================================================================
c . 29.11 |====================================================================
d . 29.11 |====================================================================
Neural Magic DeepSparse 1.6
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 2264.81 |=================================================================
b . 2262.13 |=================================================================
c . 2304.98 |==================================================================
d . 2278.92 |=================================================================
Neural Magic DeepSparse 1.6
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 3.5237 |===================================================================
b . 3.5287 |===================================================================
c . 3.4631 |==================================================================
d . 3.5027 |===================================================================
Neural Magic DeepSparse 1.6
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 127.29 |===================================================================
b . 128.04 |===================================================================
c . 128.14 |===================================================================
d . 127.01 |==================================================================
Neural Magic DeepSparse 1.6
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 62.83 |====================================================================
b . 62.43 |===================================================================
c . 62.40 |===================================================================
d . 62.97 |====================================================================
Neural Magic DeepSparse 1.6
Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 27.36 |====================================================================
b . 27.30 |====================================================================
c . 27.33 |====================================================================
d . 27.31 |====================================================================
Neural Magic DeepSparse 1.6
Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 292.08 |===================================================================
b . 292.22 |===================================================================
c . 292.21 |===================================================================
d . 292.09 |===================================================================
Neural Magic DeepSparse 1.6
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 274.88 |===================================================================
b . 274.68 |===================================================================
c . 274.71 |===================================================================
d . 274.49 |===================================================================
Neural Magic DeepSparse 1.6
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 29.09 |====================================================================
b . 29.11 |====================================================================
c . 29.11 |====================================================================
d . 29.13 |====================================================================
Neural Magic DeepSparse 1.6
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 131.12 |===================================================================
b . 131.39 |===================================================================
c . 131.08 |===================================================================
d . 130.30 |==================================================================
Neural Magic DeepSparse 1.6
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 61.00 |====================================================================
b . 60.86 |===================================================================
c . 60.97 |====================================================================
d . 61.38 |====================================================================
Neural Magic DeepSparse 1.6
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 187.91 |===================================================================
b . 188.17 |===================================================================
c . 187.92 |===================================================================
d . 187.74 |===================================================================
Neural Magic DeepSparse 1.6
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 42.54 |====================================================================
b . 42.48 |====================================================================
c . 42.56 |====================================================================
d . 42.60 |====================================================================
Neural Magic DeepSparse 1.6
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 40.17 |====================================================================
b . 40.19 |====================================================================
c . 40.24 |====================================================================
d . 40.18 |====================================================================
Neural Magic DeepSparse 1.6
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 198.92 |===================================================================
b . 198.92 |===================================================================
c . 198.54 |===================================================================
d . 199.00 |===================================================================
Neural Magic DeepSparse 1.6
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 401.68 |===================================================================
b . 402.97 |===================================================================
c . 402.02 |===================================================================
d . 402.18 |===================================================================
Neural Magic DeepSparse 1.6
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 19.90 |====================================================================
b . 19.84 |====================================================================
c . 19.89 |====================================================================
d . 19.88 |====================================================================
Neural Magic DeepSparse 1.6
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 22.10 |====================================================================
b . 22.25 |====================================================================
c . 22.22 |====================================================================
d . 22.00 |===================================================================
Neural Magic DeepSparse 1.6
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 361.90 |===================================================================
b . 359.34 |==================================================================
c . 359.99 |==================================================================
d . 363.63 |===================================================================
rav1e 0.7
Speed: 1
Frames Per Second > Higher Is Better
a . 1.382 |====================================================================
b . 1.382 |====================================================================
c . 1.376 |====================================================================
d . 1.384 |====================================================================
rav1e 0.7
Speed: 5
Frames Per Second > Higher Is Better
a . 5.760 |====================================================================
b . 5.747 |====================================================================
c . 5.748 |====================================================================
d . 5.768 |====================================================================
rav1e 0.7
Speed: 6
Frames Per Second > Higher Is Better
a . 7.713 |====================================================================
b . 7.750 |====================================================================
c . 7.690 |===================================================================
d . 7.729 |====================================================================
rav1e 0.7
Speed: 10
Frames Per Second > Higher Is Better
a . 18.43 |====================================================================
b . 18.22 |===================================================================
c . 18.35 |====================================================================
d . 18.40 |====================================================================
SVT-AV1 1.8
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 9.915 |===================================================================
b . 9.876 |===================================================================
c . 9.950 |====================================================================
d . 9.998 |====================================================================
SVT-AV1 1.8
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 96.14 |===================================================================
b . 95.98 |===================================================================
c . 97.29 |====================================================================
d . 95.98 |===================================================================
SVT-AV1 1.8
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 226.38 |==================================================================
b . 226.71 |==================================================================
c . 217.36 |===============================================================
d . 229.79 |===================================================================
SVT-AV1 1.8
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 233.40 |==================================================================
b . 235.40 |===================================================================
c . 230.91 |==================================================================
d . 224.79 |================================================================
SVT-AV1 1.8
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 26.90 |====================================================================
b . 26.75 |===================================================================
c . 26.90 |====================================================================
d . 27.05 |====================================================================
SVT-AV1 1.8
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 190.00 |==================================================================
b . 188.00 |==================================================================
c . 188.50 |==================================================================
d . 191.46 |===================================================================
SVT-AV1 1.8
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 679.13 |==================================================================
b . 686.95 |===================================================================
c . 684.73 |===================================================================
d . 660.56 |================================================================
SVT-AV1 1.8
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 798.11 |==================================================================
b . 810.67 |===================================================================
c . 766.92 |===============================================================
d . 772.84 |================================================================
Xmrig 6.21
Variant: KawPow - Hash Count: 1M
H/s > Higher Is Better
a . 43081.2 |==================================================================
b . 43084.9 |==================================================================
c . 42260.1 |================================================================
d . 43368.9 |==================================================================
Xmrig 6.21
Variant: Monero - Hash Count: 1M
H/s > Higher Is Better
a . 42620.3 |================================================================
b . 44163.8 |==================================================================
c . 43269.4 |=================================================================
d . 43097.9 |================================================================
Xmrig 6.21
Variant: Wownero - Hash Count: 1M
H/s > Higher Is Better
a . 51015.2 |==================================================================
b . 47129.8 |=============================================================
c . 49907.7 |=================================================================
d . 49729.0 |================================================================
Xmrig 6.21
Variant: GhostRider - Hash Count: 1M
H/s > Higher Is Better
a . 11640.2 |===============================================================
b . 12124.6 |==================================================================
c . 11899.9 |=================================================================
d . 11952.1 |=================================================================
Xmrig 6.21
Variant: CryptoNight-Heavy - Hash Count: 1M
H/s > Higher Is Better
a . 43183.5 |=================================================================
b . 44058.7 |==================================================================
c . 43573.0 |=================================================================
d . 43740.7 |==================================================================
Xmrig 6.21
Variant: CryptoNight-Femto UPX2 - Hash Count: 1M
H/s > Higher Is Better
a . 42573.1 |==============================================================
b . 45093.8 |==================================================================
c . 44012.1 |================================================================
d . 43979.2 |================================================================