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Merge pull request #23 from ctuning/main
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added final MLPerf inference v4.0 results in the MLCommons CM format
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arjunsuresh authored Apr 10, 2024
2 parents 425d689 + 155ea96 commit 14786ec
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[
{
"Accuracy": 90.28408874066913,
"Accuracy_div_100": 0.90284,
"Availability": "available",
"Division": "network",
"Location": "network/Krai/results/dl385_q8_std/bert-99/offline",
"MlperfModel": "bert-99",
"Model": "bert-99",
"Organization": "Krai",
"Platform": "dl385_q8_std",
"Result": 5700.92,
"Result_Units": "Samples/s",
"Scenario": "Offline",
"SystemName": "HPE ProLiant DL385 Gen10 Plus v2 (8x QAIC100 Standard) [NETWORK]",
"SystemType": "datacenter",
"Units": "Samples/s",
"accelerator_model_name": "QUALCOMM Cloud AI 100 Standard",
"accelerators_per_node": 8,
"compliance": 1,
"errors": 0,
"framework": "QUALCOMM Cloud AI SDK v1.12.2",
"git_url": "https://github.com/mlcommons/inference_results_v4.0",
"has_power": false,
"host_processor_core_count": 32,
"host_processor_model_name": "AMD EPYC 7543 32-Core Processor",
"host_processors_per_node": 2,
"inferred": 0,
"notes": "Powered by the KRAI X and KILT technologies over the network",
"number_of_nodes": 1,
"operating_system": "Ubuntu 20.04.6 LTS (Linux kernel 5.15.0-91-generic #101~20.04.1-Ubuntu SMP Thu Nov 16 14:22:28 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux)",
"uid": "e7c0c89d0c214781",
"url": "https://github.com/mlcommons/inference_results_v4.0/tree/master/network/Krai/results/dl385_q8_std/bert-99/offline",
"version": "v4.0"
},
{
"Accuracy": 90.8666333229796,
"Accuracy_div_100": 0.90867,
"Availability": "available",
"Division": "network",
"Location": "network/Krai/results/dl385_q8_std/bert-99.9/offline",
"MlperfModel": "bert-99.9",
"Model": "bert-99.9",
"Organization": "Krai",
"Platform": "dl385_q8_std",
"Result": 2926.61,
"Result_Units": "Samples/s",
"Scenario": "Offline",
"SystemName": "HPE ProLiant DL385 Gen10 Plus v2 (8x QAIC100 Standard) [NETWORK]",
"SystemType": "datacenter",
"Units": "Samples/s",
"accelerator_model_name": "QUALCOMM Cloud AI 100 Standard",
"accelerators_per_node": 8,
"compliance": 1,
"errors": 0,
"framework": "QUALCOMM Cloud AI SDK v1.12.2",
"git_url": "https://github.com/mlcommons/inference_results_v4.0",
"has_power": false,
"host_processor_core_count": 32,
"host_processor_model_name": "AMD EPYC 7543 32-Core Processor",
"host_processors_per_node": 2,
"inferred": 0,
"notes": "Powered by the KRAI X and KILT technologies over the network",
"number_of_nodes": 1,
"operating_system": "Ubuntu 20.04.6 LTS (Linux kernel 5.15.0-91-generic #101~20.04.1-Ubuntu SMP Thu Nov 16 14:22:28 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux)",
"uid": "505b5b5946af47aa",
"url": "https://github.com/mlcommons/inference_results_v4.0/tree/master/network/Krai/results/dl385_q8_std/bert-99.9/offline",
"version": "v4.0"
},
{
"Accuracy": 90.28408874066913,
"Accuracy_div_100": 0.90284,
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@@ -1,4 +1,72 @@
[
{
"Accuracy": 90.28408874066913,
"Accuracy_div_100": 0.90284,
"Availability": "available",
"Division": "network",
"Location": "network/Krai/results/dl385_q8_std/bert-99/server",
"MlperfModel": "bert-99",
"Model": "bert-99",
"Organization": "Krai",
"Platform": "dl385_q8_std",
"Result": 5347.67,
"Result_Units": "Queries/s",
"Scenario": "Server",
"SystemName": "HPE ProLiant DL385 Gen10 Plus v2 (8x QAIC100 Standard) [NETWORK]",
"SystemType": "datacenter",
"Units": "Queries/s",
"accelerator_model_name": "QUALCOMM Cloud AI 100 Standard",
"accelerators_per_node": 8,
"compliance": 1,
"errors": 0,
"framework": "QUALCOMM Cloud AI SDK v1.12.2",
"git_url": "https://github.com/mlcommons/inference_results_v4.0",
"has_power": false,
"host_processor_core_count": 32,
"host_processor_model_name": "AMD EPYC 7543 32-Core Processor",
"host_processors_per_node": 2,
"inferred": 0,
"notes": "Powered by the KRAI X and KILT technologies over the network",
"number_of_nodes": 1,
"operating_system": "Ubuntu 20.04.6 LTS (Linux kernel 5.15.0-91-generic #101~20.04.1-Ubuntu SMP Thu Nov 16 14:22:28 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux)",
"uid": "d0a55d41b15c4ffa",
"url": "https://github.com/mlcommons/inference_results_v4.0/tree/master/network/Krai/results/dl385_q8_std/bert-99/server",
"version": "v4.0"
},
{
"Accuracy": 90.8666333229796,
"Accuracy_div_100": 0.90867,
"Availability": "available",
"Division": "network",
"Location": "network/Krai/results/dl385_q8_std/bert-99.9/server",
"MlperfModel": "bert-99.9",
"Model": "bert-99.9",
"Organization": "Krai",
"Platform": "dl385_q8_std",
"Result": 2601.21,
"Result_Units": "Queries/s",
"Scenario": "Server",
"SystemName": "HPE ProLiant DL385 Gen10 Plus v2 (8x QAIC100 Standard) [NETWORK]",
"SystemType": "datacenter",
"Units": "Queries/s",
"accelerator_model_name": "QUALCOMM Cloud AI 100 Standard",
"accelerators_per_node": 8,
"compliance": 1,
"errors": 0,
"framework": "QUALCOMM Cloud AI SDK v1.12.2",
"git_url": "https://github.com/mlcommons/inference_results_v4.0",
"has_power": false,
"host_processor_core_count": 32,
"host_processor_model_name": "AMD EPYC 7543 32-Core Processor",
"host_processors_per_node": 2,
"inferred": 0,
"notes": "Powered by the KRAI X and KILT technologies over the network",
"number_of_nodes": 1,
"operating_system": "Ubuntu 20.04.6 LTS (Linux kernel 5.15.0-91-generic #101~20.04.1-Ubuntu SMP Thu Nov 16 14:22:28 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux)",
"uid": "e6ba659eb87a4682",
"url": "https://github.com/mlcommons/inference_results_v4.0/tree/master/network/Krai/results/dl385_q8_std/bert-99.9/server",
"version": "v4.0"
},
{
"Accuracy": 90.28408874066913,
"Accuracy_div_100": 0.90284,
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@@ -1,4 +1,38 @@
[
{
"Accuracy": 37.208,
"Accuracy_div_100": 0.37208,
"Availability": "available",
"Division": "network",
"Location": "network/Krai/results/dl385_q8_std/retinanet/offline",
"MlperfModel": "retinanet",
"Model": "retinanet",
"Organization": "Krai",
"Platform": "dl385_q8_std",
"Result": 2240.89,
"Result_Units": "Samples/s",
"Scenario": "Offline",
"SystemName": "HPE ProLiant DL385 Gen10 Plus v2 (8x QAIC100 Standard) [NETWORK]",
"SystemType": "datacenter",
"Units": "Samples/s",
"accelerator_model_name": "QUALCOMM Cloud AI 100 Standard",
"accelerators_per_node": 8,
"compliance": 1,
"errors": 0,
"framework": "QUALCOMM Cloud AI SDK v1.12.2",
"git_url": "https://github.com/mlcommons/inference_results_v4.0",
"has_power": false,
"host_processor_core_count": 32,
"host_processor_model_name": "AMD EPYC 7543 32-Core Processor",
"host_processors_per_node": 2,
"inferred": 0,
"notes": "Powered by the KRAI X and KILT technologies over the network",
"number_of_nodes": 1,
"operating_system": "Ubuntu 20.04.6 LTS (Linux kernel 5.15.0-91-generic #101~20.04.1-Ubuntu SMP Thu Nov 16 14:22:28 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux)",
"uid": "4824087b1e5e4840",
"url": "https://github.com/mlcommons/inference_results_v4.0/tree/master/network/Krai/results/dl385_q8_std/retinanet/offline",
"version": "v4.0"
},
{
"Accuracy": 37.244,
"Accuracy_div_100": 0.37244,
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@@ -1,4 +1,38 @@
[
{
"Accuracy": 37.208,
"Accuracy_div_100": 0.37208,
"Availability": "available",
"Division": "network",
"Location": "network/Krai/results/dl385_q8_std/retinanet/server",
"MlperfModel": "retinanet",
"Model": "retinanet",
"Organization": "Krai",
"Platform": "dl385_q8_std",
"Result": 2099.46,
"Result_Units": "Queries/s",
"Scenario": "Server",
"SystemName": "HPE ProLiant DL385 Gen10 Plus v2 (8x QAIC100 Standard) [NETWORK]",
"SystemType": "datacenter",
"Units": "Queries/s",
"accelerator_model_name": "QUALCOMM Cloud AI 100 Standard",
"accelerators_per_node": 8,
"compliance": 1,
"errors": 0,
"framework": "QUALCOMM Cloud AI SDK v1.12.2",
"git_url": "https://github.com/mlcommons/inference_results_v4.0",
"has_power": false,
"host_processor_core_count": 32,
"host_processor_model_name": "AMD EPYC 7543 32-Core Processor",
"host_processors_per_node": 2,
"inferred": 0,
"notes": "Powered by the KRAI X and KILT technologies over the network",
"number_of_nodes": 1,
"operating_system": "Ubuntu 20.04.6 LTS (Linux kernel 5.15.0-91-generic #101~20.04.1-Ubuntu SMP Thu Nov 16 14:22:28 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux)",
"uid": "a5eb2e9e1a98439f",
"url": "https://github.com/mlcommons/inference_results_v4.0/tree/master/network/Krai/results/dl385_q8_std/retinanet/server",
"version": "v4.0"
},
{
"Accuracy": 37.244,
"Accuracy_div_100": 0.37244,
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