8490h 1s Intel Xeon Platinum 8490H testing with a Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite. a: Processor: Intel Xeon Platinum 8490H @ 3.50GHz (60 Cores / 120 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 512GB, Disk: 3 x 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Network: 4 x Intel E810-C for QSFP OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1024x768 b: Processor: Intel Xeon Platinum 8490H @ 3.50GHz (60 Cores / 120 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 512GB, Disk: 3 x 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Network: 4 x Intel E810-C for QSFP OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1024x768 c: Processor: Intel Xeon Platinum 8490H @ 3.50GHz (60 Cores / 120 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 512GB, Disk: 3 x 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Network: 4 x Intel E810-C for QSFP OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1024x768 d: Processor: Intel Xeon Platinum 8490H @ 3.50GHz (60 Cores / 120 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 512GB, Disk: 3 x 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Network: 4 x Intel E810-C for QSFP OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1024x768 e: Processor: Intel Xeon Platinum 8490H @ 3.50GHz (60 Cores / 120 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 512GB, Disk: 3 x 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Network: 4 x Intel E810-C for QSFP OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1024x768 Crypto++ 8.8 Test: All Algorithms MiB/second > Higher Is Better a . 1663.92 |================================================================== Crypto++ 8.8 Test: Keyed Algorithms MiB/second > Higher Is Better a . 595.37 |=================================================================== Crypto++ 8.8 Test: Unkeyed Algorithms MiB/second > Higher Is Better a . 452.34 |=================================================================== Dragonflydb 1.6.2 Clients Per Thread: 10 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 14247982.45 |============================================================ b . 14476834.10 |============================================================= c . 14235868.61 |============================================================ d . 14750102.52 |============================================================== e . 14392511.79 |============================================================ Dragonflydb 1.6.2 Clients Per Thread: 20 - Set To Get Ratio: 1:5 Dragonflydb 1.6.2 Clients Per Thread: 10 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 14662941.42 |============================================================== b . 14292262.52 |============================================================ c . 14204640.25 |============================================================ d . 14205235.71 |============================================================ e . 14390358.99 |============================================================= Dragonflydb 1.6.2 Clients Per Thread: 20 - Set To Get Ratio: 1:10 Dragonflydb 1.6.2 Clients Per Thread: 10 - Set To Get Ratio: 1:100 Ops/sec > Higher Is Better a . 14338166.15 |============================================================= b . 14432034.21 |============================================================= c . 14307949.03 |============================================================= d . 14571297.77 |============================================================== e . 14492478.36 |============================================================== Dragonflydb 1.6.2 Clients Per Thread: 20 - Set To Get Ratio: 1:100 Neural Magic DeepSparse 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 56.12 |================================================================== b . 57.79 |=================================================================== c . 57.93 |==================================================================== d . 58.25 |==================================================================== e . 57.21 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 534.50 |=================================================================== b . 517.16 |================================================================= c . 517.84 |================================================================= d . 511.42 |================================================================ e . 520.22 |================================================================= Neural Magic DeepSparse 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 35.49 |==================================================================== b . 35.36 |==================================================================== c . 35.62 |==================================================================== d . 35.59 |==================================================================== e . 35.09 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 28.17 |=================================================================== b . 28.27 |=================================================================== c . 28.07 |=================================================================== d . 28.09 |=================================================================== e . 28.49 |==================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 1905.98 |================================================================== b . 1891.06 |================================================================= c . 1891.33 |================================================================= d . 1890.57 |================================================================= e . 1905.15 |================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 15.70 |=================================================================== b . 15.83 |==================================================================== c . 15.83 |==================================================================== d . 15.84 |==================================================================== e . 15.72 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 208.96 |=================================================================== b . 209.10 |=================================================================== c . 208.43 |=================================================================== d . 209.66 |=================================================================== e . 205.24 |================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 4.7834 |================================================================== b . 4.7802 |================================================================== c . 4.7956 |================================================================== d . 4.7675 |================================================================== e . 4.8699 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 648.32 |=================================================================== b . 644.05 |================================================================== c . 649.30 |=================================================================== d . 648.39 |=================================================================== e . 633.45 |================================================================= Neural Magic DeepSparse 1.5 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 46.25 |================================================================== b . 46.54 |=================================================================== c . 46.18 |================================================================== d . 46.24 |================================================================== e . 47.32 |==================================================================== Neural Magic DeepSparse 1.5 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 180.14 |=================================================================== b . 179.68 |=================================================================== c . 178.72 |================================================================== d . 180.44 |=================================================================== e . 177.01 |================================================================== Neural Magic DeepSparse 1.5 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 5.5454 |================================================================== b . 5.5592 |================================================================== c . 5.5886 |================================================================== d . 5.5358 |================================================================== e . 5.6420 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 192.50 |=================================================================== b . 191.99 |=================================================================== c . 191.61 |=================================================================== d . 190.82 |================================================================== e . 191.50 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 155.80 |================================================================== b . 156.21 |=================================================================== c . 156.46 |=================================================================== d . 157.18 |=================================================================== e . 156.56 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 86.93 |==================================================================== b . 87.16 |==================================================================== c . 86.79 |==================================================================== d . 87.34 |==================================================================== e . 85.16 |================================================================== Neural Magic DeepSparse 1.5 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 11.49 |=================================================================== b . 11.47 |================================================================== c . 11.51 |=================================================================== d . 11.44 |================================================================== e . 11.73 |==================================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 780.50 |=================================================================== b . 782.04 |=================================================================== c . 780.53 |=================================================================== d . 780.31 |=================================================================== e . 783.20 |=================================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 38.41 |==================================================================== b . 38.34 |==================================================================== c . 38.41 |==================================================================== d . 38.42 |==================================================================== e . 38.28 |==================================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 272.80 |=================================================================== b . 270.23 |================================================================== c . 268.15 |================================================================== d . 270.35 |================================================================== e . 266.34 |================================================================= Neural Magic DeepSparse 1.5 Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 3.6608 |================================================================= b . 3.6961 |================================================================== c . 3.7248 |=================================================================== d . 3.6938 |================================================================== e . 3.7499 |=================================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 5672.80 |================================================================== b . 5678.52 |================================================================== c . 5677.04 |================================================================== d . 5665.47 |================================================================== e . 5679.78 |================================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 5.2680 |=================================================================== b . 5.2627 |=================================================================== c . 5.2632 |=================================================================== d . 5.2743 |=================================================================== e . 5.2615 |=================================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 759.48 |=================================================================== b . 746.71 |================================================================== c . 758.34 |=================================================================== d . 759.43 |=================================================================== e . 709.15 |=============================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 1.3144 |=============================================================== b . 1.3371 |================================================================ c . 1.3167 |=============================================================== d . 1.3146 |=============================================================== e . 1.4076 |=================================================================== Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 346.94 |=================================================================== b . 347.66 |=================================================================== c . 348.01 |=================================================================== d . 346.56 |=================================================================== e . 347.76 |=================================================================== Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 86.43 |==================================================================== b . 86.25 |==================================================================== c . 86.16 |==================================================================== d . 86.53 |==================================================================== e . 86.17 |==================================================================== Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 184.39 |=================================================================== b . 185.75 |=================================================================== c . 184.20 |================================================================== d . 184.93 |=================================================================== e . 181.20 |================================================================= Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 5.4182 |================================================================== b . 5.3786 |================================================================= c . 5.4239 |================================================================== d . 5.4020 |================================================================== e . 5.5134 |=================================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 62.58 |==================================================================== b . 61.60 |=================================================================== c . 61.41 |=================================================================== d . 62.17 |==================================================================== e . 61.07 |================================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 479.13 |================================================================== b . 486.19 |=================================================================== c . 488.25 |=================================================================== d . 482.44 |================================================================== e . 488.23 |=================================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 21.16 |==================================================================== b . 21.16 |==================================================================== c . 21.09 |==================================================================== d . 21.06 |==================================================================== e . 20.74 |=================================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 47.24 |=================================================================== b . 47.25 |=================================================================== c . 47.42 |=================================================================== d . 47.47 |=================================================================== e . 48.22 |==================================================================== Neural Magic DeepSparse 1.5 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 780.40 |=================================================================== b . 781.30 |=================================================================== c . 780.33 |=================================================================== d . 778.76 |=================================================================== e . 782.54 |=================================================================== Neural Magic DeepSparse 1.5 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 38.39 |==================================================================== b . 38.37 |==================================================================== c . 38.41 |==================================================================== d . 38.49 |==================================================================== e . 38.31 |==================================================================== Neural Magic DeepSparse 1.5 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 267.99 |================================================================== b . 270.85 |=================================================================== c . 271.62 |=================================================================== d . 271.78 |=================================================================== e . 264.31 |================================================================= Neural Magic DeepSparse 1.5 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 3.7271 |================================================================== b . 3.6871 |================================================================= c . 3.6770 |================================================================= d . 3.6743 |================================================================= e . 3.7788 |=================================================================== Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 348.53 |=================================================================== b . 348.72 |=================================================================== c . 347.59 |=================================================================== d . 347.51 |=================================================================== e . 348.14 |=================================================================== Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 86.04 |==================================================================== b . 85.93 |==================================================================== c . 86.28 |==================================================================== d . 86.29 |==================================================================== e . 86.13 |==================================================================== Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 183.63 |=================================================================== b . 183.93 |=================================================================== c . 183.82 |=================================================================== d . 184.05 |=================================================================== e . 181.13 |================================================================== Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 5.4431 |================================================================== b . 5.4340 |================================================================== c . 5.4372 |================================================================== d . 5.4307 |================================================================== e . 5.5183 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 475.72 |================================================================= b . 487.46 |=================================================================== c . 487.18 |=================================================================== d . 485.72 |=================================================================== e . 488.25 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 63.01 |==================================================================== b . 61.51 |================================================================== c . 61.55 |================================================================== d . 61.69 |=================================================================== e . 61.42 |================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 121.89 |================================================================== b . 123.68 |================================================================== c . 124.62 |=================================================================== d . 123.45 |================================================================== e . 120.44 |================================================================= Neural Magic DeepSparse 1.5 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 8.1989 |================================================================== b . 8.0804 |================================================================= c . 8.0190 |================================================================= d . 8.0945 |================================================================= e . 8.2973 |=================================================================== Neural Magic DeepSparse 1.5 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 75.60 |==================================================================== b . 75.88 |==================================================================== c . 75.61 |==================================================================== d . 75.55 |==================================================================== e . 75.71 |==================================================================== Neural Magic DeepSparse 1.5 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 396.73 |=================================================================== b . 395.21 |=================================================================== c . 396.68 |=================================================================== d . 396.99 |=================================================================== e . 396.17 |=================================================================== Neural Magic DeepSparse 1.5 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 39.94 |==================================================================== b . 39.96 |==================================================================== c . 39.93 |==================================================================== d . 39.87 |==================================================================== e . 39.74 |==================================================================== Neural Magic DeepSparse 1.5 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 25.00 |==================================================================== b . 24.99 |==================================================================== c . 25.01 |==================================================================== d . 25.05 |==================================================================== e . 25.13 |==================================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 868.50 |=================================================================== b . 869.47 |=================================================================== c . 870.76 |=================================================================== d . 871.21 |=================================================================== e . 870.67 |=================================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 34.49 |==================================================================== b . 34.46 |==================================================================== c . 34.42 |==================================================================== d . 34.40 |==================================================================== e . 34.42 |==================================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 117.23 |=================================================================== b . 114.61 |================================================================== c . 116.35 |================================================================== d . 117.22 |=================================================================== e . 113.24 |================================================================= Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 8.5248 |================================================================= b . 8.7193 |================================================================== c . 8.5903 |================================================================= d . 8.5255 |================================================================= e . 8.8247 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 218.11 |================================================================ b . 224.16 |================================================================= c . 220.49 |================================================================ d . 229.45 |=================================================================== e . 217.72 |================================================================ Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 137.51 |=================================================================== b . 133.78 |================================================================= c . 136.00 |================================================================== d . 130.52 |=============================================================== e . 137.76 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 61.65 |==================================================================== b . 61.89 |==================================================================== c . 61.61 |==================================================================== d . 61.83 |==================================================================== e . 61.85 |==================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 16.21 |==================================================================== b . 16.15 |==================================================================== c . 16.22 |==================================================================== d . 16.17 |==================================================================== e . 16.16 |==================================================================== Neural Magic DeepSparse 1.5 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 57.08 |=================================================================== b . 57.57 |=================================================================== c . 57.99 |==================================================================== d . 58.21 |==================================================================== e . 57.52 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 525.14 |=================================================================== b . 520.87 |================================================================== c . 516.04 |================================================================== d . 514.90 |================================================================== e . 519.27 |================================================================== Neural Magic DeepSparse 1.5 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 35.76 |==================================================================== b . 35.72 |==================================================================== c . 35.86 |==================================================================== d . 35.76 |==================================================================== e . 35.88 |==================================================================== Neural Magic DeepSparse 1.5 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 27.96 |==================================================================== b . 27.99 |==================================================================== c . 27.88 |==================================================================== d . 27.96 |==================================================================== e . 27.86 |==================================================================== Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better a . 2462536.66 |=============================================================== b . 2470315.91 |=============================================================== c . 2377430.14 |============================================================= d . 2383147.07 |============================================================= e . 2414601.07 |============================================================== Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 2613416.65 |=============================================================== b . 2546591.86 |============================================================= c . 2516320.69 |============================================================= d . 2452685.99 |=========================================================== e . 2444450.11 |=========================================================== Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better a . 2503378.33 |============================================================ b . 2630752.03 |=============================================================== c . 2460387.75 |=========================================================== d . 2493158.97 |============================================================ e . 2474272.95 |=========================================================== Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 2627400.98 |============================================================= b . 2710324.97 |=============================================================== c . 2554516.65 |=========================================================== d . 2549066.22 |=========================================================== e . 2541163.68 |=========================================================== Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 2646929.55 |=============================================================== b . 2544897.58 |============================================================= c . 2508415.59 |============================================================ d . 2487096.51 |=========================================================== e . 2540848.35 |============================================================ Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:1 Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5 Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 2929613.17 |=============================================================== b . 2583878.29 |======================================================== c . 2611551.59 |======================================================== d . 2593991.10 |======================================================== e . 2755166.14 |=========================================================== Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10 Blender 3.6 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 25.74 |==================================================================== b . 25.63 |==================================================================== c . 25.69 |==================================================================== d . 25.75 |==================================================================== e . 25.71 |==================================================================== Blender 3.6 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a . 68.93 |=================================================================== b . 69.16 |=================================================================== c . 70.03 |==================================================================== d . 69.16 |=================================================================== e . 69.25 |=================================================================== Blender 3.6 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 35.75 |==================================================================== b . 35.26 |=================================================================== c . 35.03 |=================================================================== d . 35.16 |=================================================================== e . 35.50 |==================================================================== Blender 3.6 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better a . 272.91 |=================================================================== b . 273.14 |=================================================================== c . 272.64 |=================================================================== d . 272.41 |=================================================================== e . 272.44 |=================================================================== Blender 3.6 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a . 88.73 |==================================================================== b . 88.50 |==================================================================== c . 88.83 |==================================================================== d . 88.18 |==================================================================== e . 88.09 |=================================================================== Apache Cassandra 4.1.3 Test: Writes Op/s > Higher Is Better a . 134694 |================================================================ b . 134932 |================================================================ c . 121708 |========================================================== d . 140934 |=================================================================== e . 137849 |================================================================== BRL-CAD 7.36 VGR Performance Metric VGR Performance Metric > Higher Is Better a . 825917 |=================================================================== b . 823602 |=================================================================== c . 820410 |=================================================================== d . 812806 |================================================================== e . 822977 |===================================================================