Upload cpu_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub

cpu_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json

@@ -73,14 +73,14 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16766.767104,
+            "cpu_ram_mb": 16766.7712,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.15",
             "optimum_benchmark_version": "0.5.0",
-            "optimum_benchmark_commit": "9a4762e599f7bc3e4d476e246e8a5ba803715a46",
+            "optimum_benchmark_commit": "f54839c0f9c801552aeae3c1c611287092f83ba2",
             "transformers_version": "4.45.0",
             "transformers_commit": null,
             "accelerate_version": "0.34.2",
@@ -99,7 +99,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1163.370496,
+                "max_ram": 1163.403264,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,31 +108,31 @@
             "latency": {
                 "unit": "s",
                 "count": 1,
-                "total": 1.7706217939999647,
-                "mean": 1.7706217939999647,
+                "total": 1.769870572000002,
+                "mean": 1.769870572000002,
                 "stdev": 0.0,
-                "p50": 1.7706217939999647,
-                "p90": 1.7706217939999647,
-                "p95": 1.7706217939999647,
-                "p99": 1.7706217939999647,
+                "p50": 1.769870572000002,
+                "p90": 1.769870572000002,
+                "p95": 1.769870572000002,
+                "p99": 1.769870572000002,
                 "values": [
-                    1.7706217939999647
+                    1.769870572000002
                 ]
             },
             "throughput": null,
             "energy": {
                 "unit": "kWh",
-                "cpu": 6.88246030111123e-05,
-                "ram": 2.878325482384745e-06,
+                "cpu": 6.879224115555695e-05,
+                "ram": 2.8769764160214144e-06,
                 "gpu": 0,
-                "total": 7.170292849349705e-05
+                "total": 7.166921757157837e-05
             },
             "efficiency": null
         },
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1191.17824,
+                "max_ram": 1194.5984,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -141,37 +141,37 @@
             "latency": {
                 "unit": "s",
                 "count": 7,
-                "total": 1.0955864119999887,
-                "mean": 0.15651234457142696,
-                "stdev": 0.009459446814613592,
-                "p50": 0.1622704840000324,
-                "p90": 0.16311177419997874,
-                "p95": 0.16340789009998388,
-                "p99": 0.16364478281998798,
+                "total": 1.0919869620000213,
+                "mean": 0.15599813742857446,
+                "stdev": 0.007643716424354788,
+                "p50": 0.15951323100000536,
+                "p90": 0.1619319515999905,
+                "p95": 0.1622383667999941,
+                "p99": 0.16248349895999695,
                 "values": [
-                    0.16370400599998902,
-                    0.16271172400001888,
-                    0.16097468199996,
-                    0.1627169529999719,
-                    0.1622704840000324,
-                    0.14133118900002728,
-                    0.14187737399998923
+                    0.15951323100000536,
+                    0.15851036100002602,
+                    0.1611494609999795,
+                    0.16152339799998572,
+                    0.16254478199999767,
+                    0.1412026500000252,
+                    0.14754307900000185
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 6.389272378087939
+                "value": 6.410332946813941
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 5.530326759027955e-06,
-                "ram": 2.3126181013304288e-07,
+                "cpu": 4.631305073456851e-06,
+                "ram": 1.9366149323709555e-07,
                 "gpu": 0.0,
-                "total": 5.761588569160998e-06
+                "total": 4.824966566693947e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 173563.24353885962
+                "value": 207255.32212033484
             }
         }
     }