AMD Ryzen 7 7840U testing with a PHX Swift SFE16-43 Ray_PEU (V1.04 BIOS) and AMD Phoenix1 512MB 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 2403162-NE-FGGD3066260
fggd
AMD Ryzen 7 7840U testing with a PHX Swift SFE16-43 Ray_PEU (V1.04 BIOS) and AMD Phoenix1 512MB on Ubuntu 23.10 via the Phoronix Test Suite.
a:
Processor: AMD Ryzen 7 7840U @ 5.29GHz (8 Cores / 16 Threads), Motherboard: PHX Swift SFE16-43 Ray_PEU (V1.04 BIOS), Chipset: AMD Device 14e8, Memory: 4 x 4GB DRAM-6400MT/s K3LKBKB0BM-MGCP, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: AMD Phoenix1 512MB (2700/800MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7922 802.11ax PCI
OS: Ubuntu 23.10, Kernel: 6.7.0-060700-generic (x86_64), Desktop: GNOME Shell 45.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.1~git2401230600.42fc83~oibaf~m (git-42fc83a 2024-01-23 mantic-oibaf-ppa) (LLVM 16.0.6 DRM 3.56), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3200x2000
b:
Processor: AMD Ryzen 7 7840U @ 5.29GHz (8 Cores / 16 Threads), Motherboard: PHX Swift SFE16-43 Ray_PEU (V1.04 BIOS), Chipset: AMD Device 14e8, Memory: 4 x 4GB DRAM-6400MT/s K3LKBKB0BM-MGCP, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: AMD Phoenix1 512MB (2700/800MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7922 802.11ax PCI
OS: Ubuntu 23.10, Kernel: 6.7.0-060700-generic (x86_64), Desktop: GNOME Shell 45.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.1~git2401230600.42fc83~oibaf~m (git-42fc83a 2024-01-23 mantic-oibaf-ppa) (LLVM 16.0.6 DRM 3.56), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3200x2000
SVT-AV1 2.0
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 22.23 |=====================================================
b . 28.70 |====================================================================
SVT-AV1 2.0
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 2.857 |======================================================
b . 3.619 |====================================================================
SVT-AV1 2.0
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 10.80 |==========================================================
b . 12.77 |====================================================================
SVT-AV1 2.0
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 77.98 |===========================================================
b . 90.24 |====================================================================
SVT-AV1 2.0
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 63.13 |=============================================================
b . 70.63 |====================================================================
SVT-AV1 2.0
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 327.71 |=============================================================
b . 358.95 |===================================================================
Timed Linux Kernel Compilation 6.8
Build: defconfig
Seconds < Lower Is Better
a . 176.42 |===================================================================
b . 162.74 |==============================================================
SVT-AV1 2.0
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 63.70 |================================================================
b . 67.84 |====================================================================
SVT-AV1 2.0
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 410.69 |===============================================================
b . 436.41 |===================================================================
Neural Magic DeepSparse 1.7
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 42.00 |====================================================================
b . 40.47 |==================================================================
Neural Magic DeepSparse 1.7
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 71.36 |==================================================================
b . 74.04 |====================================================================
Neural Magic DeepSparse 1.7
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 573.12 |=================================================================
b . 593.88 |===================================================================
Neural Magic DeepSparse 1.7
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 5.2084 |===================================================================
b . 5.0336 |=================================================================
Neural Magic DeepSparse 1.7
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 73.34 |====================================================================
b . 71.01 |==================================================================
Neural Magic DeepSparse 1.7
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 13.61 |==================================================================
b . 14.06 |====================================================================
Neural Magic DeepSparse 1.7
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 220.66 |=================================================================
b . 227.17 |===================================================================
Neural Magic DeepSparse 1.7
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 13.57 |====================================================================
b . 13.18 |==================================================================
Neural Magic DeepSparse 1.7
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 4.9744 |===================================================================
b . 4.8394 |=================================================================
Neural Magic DeepSparse 1.7
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 599.85 |=================================================================
b . 616.44 |===================================================================
Neural Magic DeepSparse 1.7
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 157.69 |=================================================================
b . 161.81 |===================================================================
Neural Magic DeepSparse 1.7
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 6.3251 |===================================================================
b . 6.1647 |=================================================================
Neural Magic DeepSparse 1.7
Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 17.41 |====================================================================
b . 17.01 |==================================================================
Neural Magic DeepSparse 1.7
Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 57.39 |==================================================================
b . 58.75 |====================================================================
Neural Magic DeepSparse 1.7
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 47.26 |====================================================================
b . 46.28 |===================================================================
Neural Magic DeepSparse 1.7
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 63.44 |===================================================================
b . 64.76 |====================================================================
Neural Magic DeepSparse 1.7
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 46.25 |====================================================================
b . 45.38 |===================================================================
Neural Magic DeepSparse 1.7
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 64.81 |===================================================================
b . 66.04 |====================================================================
Neural Magic DeepSparse 1.7
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 34.40 |===================================================================
b . 34.97 |====================================================================
Neural Magic DeepSparse 1.7
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 29.05 |====================================================================
b . 28.58 |===================================================================
Neural Magic DeepSparse 1.7
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 31.82 |====================================================================
b . 31.40 |===================================================================
Neural Magic DeepSparse 1.7
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 94.17 |===================================================================
b . 95.43 |====================================================================
Neural Magic DeepSparse 1.7
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 5.1893 |===================================================================
b . 5.1251 |==================================================================
Neural Magic DeepSparse 1.7
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 192.69 |==================================================================
b . 195.10 |===================================================================
Neural Magic DeepSparse 1.7
Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 373.53 |==================================================================
b . 377.91 |===================================================================
Neural Magic DeepSparse 1.7
Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 2.6549 |===================================================================
b . 2.6245 |==================================================================
Timed Linux Kernel Compilation 6.8
Build: allmodconfig
Seconds < Lower Is Better
a . 2616.59 |==================================================================
b . 2587.39 |=================================================================
Neural Magic DeepSparse 1.7
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 5.2615 |==================================================================
b . 5.3183 |===================================================================
Neural Magic DeepSparse 1.7
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 5.5471 |==================================================================
b . 5.6015 |===================================================================
Neural Magic DeepSparse 1.7
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 180.26 |===================================================================
b . 178.51 |==================================================================
Parallel BZIP2 Compression 1.1.13
FreeBSD-13.0-RELEASE-amd64-memstick.img Compression
Seconds < Lower Is Better
a . 10.98 |===================================================================
b . 11.08 |====================================================================
Neural Magic DeepSparse 1.7
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 568.02 |===================================================================
b . 563.38 |==================================================================
Neural Magic DeepSparse 1.7
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 103.54 |===================================================================
b . 104.29 |===================================================================
Neural Magic DeepSparse 1.7
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 9.6551 |===================================================================
b . 9.5857 |===================================================================
Neural Magic DeepSparse 1.7
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 42.99 |====================================================================
b . 42.72 |====================================================================
Neural Magic DeepSparse 1.7
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 23.25 |====================================================================
b . 23.39 |====================================================================
Neural Magic DeepSparse 1.7
Model: Llama2 Chat 7b Quantized - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 1094.29 |==================================================================
b . 1087.73 |==================================================================
Neural Magic DeepSparse 1.7
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 32.20 |====================================================================
b . 32.11 |====================================================================
Neural Magic DeepSparse 1.7
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 93.13 |====================================================================
b . 93.38 |====================================================================
Neural Magic DeepSparse 1.7
Model: Llama2 Chat 7b Quantized - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 2.7165 |===================================================================
b . 2.7230 |===================================================================
Neural Magic DeepSparse 1.7
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 54.10 |====================================================================
b . 54.20 |====================================================================
Neural Magic DeepSparse 1.7
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 18.47 |====================================================================
b . 18.43 |====================================================================
Neural Magic DeepSparse 1.7
Model: Llama2 Chat 7b Quantized - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 191.75 |===================================================================
b . 191.57 |===================================================================
Neural Magic DeepSparse 1.7
Model: Llama2 Chat 7b Quantized - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 5.2143 |===================================================================
b . 5.2192 |===================================================================
Neural Magic DeepSparse 1.7
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 313.73 |===================================================================
b . 313.96 |===================================================================
Neural Magic DeepSparse 1.7
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 9.5583 |===================================================================
b . 9.5532 |===================================================================