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

@@ -7,6 +7,7 @@
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "token-classification",
             "library": "transformers",
+            "model_type": "deberta-v2",
             "model": "microsoft/deberta-v3-base",
             "processor": "microsoft/deberta-v3-base",
             "device": "cpu",
@@ -73,14 +74,14 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16757.338112,
+            "cpu_ram_mb": 16757.342208,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.3.1",
-            "optimum_benchmark_commit": "c31e63ddb94c29460ba90ff599147e94ff80543a",
+            "optimum_benchmark_commit": "402644384abc46743e46dac65be6512bc68c9d92",
             "transformers_version": "4.42.4",
             "transformers_commit": null,
             "accelerate_version": "0.32.1",
@@ -99,7 +100,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1184.661504,
+                "max_ram": 1177.509888,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,37 +109,37 @@
             "latency": {
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-                "p95": 0.16087156859998686,
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+                "p90": 0.154878854399999,
+                "p95": 0.15604602570001588,
+                "p99": 0.1569797627400294,
                 "values": [
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+                    0.1386458169999969,
+                    0.13787474299999758,
+                    0.13794470499999534
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             "throughput": {
                 "unit": "samples/s",
-                "value": 6.744370524986673
+                "value": 6.795226791956313
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             "energy": {
                 "unit": "kWh",
-                "cpu": 5.3407708803812665e-06,
-                "ram": 2.2320598338611813e-07,
+                "cpu": 5.404794050587549e-06,
+                "ram": 2.2588158137153867e-07,
                 "gpu": 0.0,
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+                "total": 5.630675631959088e-06
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             "efficiency": {
                 "unit": "samples/kWh",
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+                "value": 177598.58059024237
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