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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": 16757.346304,
+            "cpu_ram_mb": 16757.338112,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.2.0",
-            "optimum_benchmark_commit": "b0a0b933f18d5fa56eadb290a26cc2099f2dd4d8",
+            "optimum_benchmark_commit": "3e2eebdc0f80ae6deeb2e1faad3e889ed5a4df2d",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -99,7 +99,7 @@
         "forward": {
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                 "unit": "MB",
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+                "max_ram": 1177.440256,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,37 +108,37 @@
             "latency": {
                 "unit": "s",
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-                "p90": 0.16154096060002984,
-                "p95": 0.16200071780003783,
-                "p99": 0.1623685235600442,
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+                "mean": 0.16378198028570523,
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+                "p50": 0.16592667800000527,
+                "p90": 0.16891306540001097,
+                "p95": 0.17102683119999823,
+                "p99": 0.17271784383998806,
                 "values": [
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+                    0.16321005699995794,
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+                    0.1496859580000205
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             "throughput": {
                 "unit": "samples/s",
-                "value": 6.34136541336084
+                "value": 6.105677793464067
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             "energy": {
                 "unit": "kWh",
-                "cpu": 4.828268215980059e-06,
-                "ram": 2.0178478272593263e-07,
+                "cpu": 5.679051081339519e-06,
+                "ram": 2.373364410923224e-07,
                 "gpu": 0.0,
-                "total": 5.030052998705991e-06
+                "total": 5.916387522431841e-06
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                 "unit": "samples/kWh",
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+                "value": 169022.0588506963
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