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[Step 1/11] Parsing and validating input arguments |
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[ WARNING ] -nstreams default value is determined automatically for a device. Although the automatic selection usually provides a reasonable performance, but it still may be non-optimal for some cases, for more information look at README. |
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[Step 2/11] Loading OpenVINO |
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[ WARNING ] PerformanceMode was not explicitly specified in command line. Device CPU performance hint will be set to THROUGHPUT. |
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[ INFO ] OpenVINO: |
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API version............. 2022.1.0-6935-7cd3c8e86e9 |
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[ INFO ] Device info |
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CPU |
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openvino_intel_cpu_plugin version 2022.1 |
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Build................... 2022.1.0-6935-7cd3c8e86e9 |
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[Step 3/11] Setting device configuration |
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[ WARNING ] -nstreams default value is determined automatically for CPU device. Although the automatic selection usually provides a reasonable performance, but it still may be non-optimal for some cases, for more information look at README. |
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[Step 4/11] Reading network files |
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[ INFO ] Read model took 64.90 ms |
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[Step 5/11] Resizing network to match image sizes and given batch |
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[ WARNING ] Batch dimension is not specified for input 'input.0'. The first dimension will be interpreted as batch size. |
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[ WARNING ] Batch dimension is not specified for input 'input.1'. The first dimension will be interpreted as batch size. |
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[ WARNING ] Batch dimension is not specified for input 'input.2'. The first dimension will be interpreted as batch size. |
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[ INFO ] Reshaping model: 'input.0': {1,384}, 'input.1': {1,384}, 'input.2': {1,384} |
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[ INFO ] Reshape model took 0.05 ms |
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[ INFO ] Network batch size: 1 |
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[Step 6/11] Configuring input of the model |
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[ INFO ] Model input 'input.0' precision i64, dimensions ([N,...]): 1 384 |
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[ INFO ] Model input 'input.1' precision i64, dimensions ([N,...]): 1 384 |
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[ INFO ] Model input 'input.2' precision i64, dimensions ([N,...]): 1 384 |
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[ INFO ] Model output 'output.0' precision f32, dimensions ([...]): 1 384 |
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[ INFO ] Model output 'output.1' precision f32, dimensions ([...]): 1 384 |
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[Step 7/11] Loading the model to the device |
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[ INFO ] Compile model took 788.57 ms |
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[Step 8/11] Querying optimal runtime parameters |
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[ INFO ] DEVICE: CPU |
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[ INFO ] AVAILABLE_DEVICES , [''] |
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[ INFO ] RANGE_FOR_ASYNC_INFER_REQUESTS , (1, 1, 1) |
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[ INFO ] RANGE_FOR_STREAMS , (1, 152) |
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[ INFO ] FULL_DEVICE_NAME , Intel(R) Xeon(R) Platinum 8368 CPU @ 2.40GHz |
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[ INFO ] OPTIMIZATION_CAPABILITIES , ['WINOGRAD', 'FP32', 'FP16', 'INT8', 'BIN', 'EXPORT_IMPORT'] |
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[ INFO ] CACHE_DIR , |
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[ INFO ] NUM_STREAMS , 19 |
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[ INFO ] INFERENCE_NUM_THREADS , 0 |
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[ INFO ] PERF_COUNT , False |
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[ INFO ] PERFORMANCE_HINT_NUM_REQUESTS , 0 |
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[Step 9/11] Creating infer requests and preparing input data |
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[ INFO ] Create 19 infer requests took 1.50 ms |
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[ WARNING ] No input files were given for input 'input.0'!. This input will be filled with random values! |
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[ WARNING ] No input files were given for input 'input.1'!. This input will be filled with random values! |
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[ WARNING ] No input files were given for input 'input.2'!. This input will be filled with random values! |
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[ INFO ] Fill input 'input.0' with random values |
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[ INFO ] Fill input 'input.1' with random values |
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[ INFO ] Fill input 'input.2' with random values |
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[ WARNING ] Number of iterations was aligned by request number from 10000 to 10013 using number of requests 19 |
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[Step 10/11] Measuring performance (Start inference asynchronously, 19 inference requests using 19 streams for CPU, inference only: True, limits: 10013 iterations) |
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[ INFO ] Benchmarking in inference only mode (inputs filling are not included in measurement loop). |
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[ INFO ] First inference took 37.43 ms |
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[Step 11/11] Dumping statistics report |
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Count: 10013 iterations |
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Duration: 24302.14 ms |
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Latency: |
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Median: 43.95 ms |
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AVG: 45.97 ms |
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MIN: 39.02 ms |
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MAX: 126.30 ms |
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Throughput: 412.02 FPS |
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