A few weeks ago I received NVIDIA Jetson Nano for review together with 52Pi ICE Tower cooling fan which Seeed Studio included in the package, and yesterday I wrote a getting started guide showing how to setup the board, and play with inference samples leveraging the board’s AI capabilities. I’ll now test the board with the stock heatsink in both 5W and 10W modes, and see if thermal throttling does occur, and then I’ll fit the tower cooling fan to find out if we can extract more performance that way and how much lower the CPU temperature is. Jetson Nano Stress Tests with Stock Heatsink Let’s install SBC-Bench testing utility,
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wget https://raw.githubusercontent.com/ThomasKaiser/sbc-bench/master/sbc-bench.sh chmod +x sbc-bench.sh |
check it’s properly installed,
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sudo ./sbc-bench.sh -m Time CPU load %cpu %sys %usr %nice %io %irq Temp 15:05:06: 922MHz 0.05 5% 1% 2% 0% 0% 0% 35.0°C 15:05:11: 922MHz 0.13 3% 1% 1% 0% 0% 0% 35.0°C 15:05:16: 922MHz 0.12 3% 1% 1% 0% 0% 0% 34.8°C |
and run it in 5W mode:
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sudo nvpmodel -m 1 sudo ./sbc-bench sbc-bench v0.6.9 Memory performance: memcpy: 3685.3 MB/s memset: 8555.4 MB/s 7-zip total scores (3 consecutive runs): 2877,2885,2854 OpenSSL results: type 16 bytes 64 bytes 256 bytes 1024 bytes 8192 bytes 16384 bytes aes-128-cbc 284837.64k 525113.11k 639412.05k 706251.09k 728449.02k 729841.66k aes-128-cbc 284316.13k 525028.93k 634287.70k 704675.84k 728088.58k 728973.31k aes-192-cbc 262002.90k 458230.17k 544725.93k 588999.68k 604075.35k 604607.83k aes-192-cbc 261583.66k 458583.96k 538986.92k 588138.84k 602303.15k 604067.16k aes-256-cbc 247370.60k 405101.35k 466444.29k 501432.32k 512816.47k 513370.79k aes-256-cbc 247650.51k 405270.40k 469783.72k 502266.54k 513187.84k 512977.58k Full results uploaded to http://ix.io/23rg. Please check the log for anomalies (e.g. swapping or throttling happenend) and otherwise share this URL. |
The temperature never went over 44.5°C, and no throttling occurred. tegrastats during 7-zip multi-core test:
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CPU [100%@1428,100%@1428,off,off] EMC_FREQ 3%@1600 GR3D_FREQ 0%@76 APE 25 PLL@41.5C CPU@43.5C PMIC@100C GPU@43.5C AO@52.5C thermal@43.5C POM_5V_IN 3348/2567 POM_5V_GPU 0/0 POM_5V_CPU 1549/912 RAM 1211/3956MB (lfb 515x4MB) SWAP 0/1978MB (cached 0MB) IRAM 0/252kB(lfb 252kB) CPU [100%@1428,100%@1428,off,off] EMC_FREQ 3%@1600 GR3D_FREQ 0%@76 APE 25 PLL@41.5C CPU@44C PMIC@100C GPU@43.5C AO@52C thermal@43.5C POM_5V_IN 3348/2568 POM_5V_GPU 0/0 POM_5V_CPU 1549/912 RAM 1239/3956MB (lfb 508x4MB) SWAP 0/1978MB (cached 0MB) IRAM 0/252kB(lfb 252kB) CPU [100%@1428,100%@1428,off,off] EMC_FREQ 3%@1600 GR3D_FREQ 0%@76 APE 25 PLL@41.5C CPU@44C PMIC@100C GPU@43.5C AO@52.5C thermal@43.5C POM_5V_IN 3348/2569 POM_5V_GPU 0/0 POM_5V_CPU 1549/913 RAM 1265/3956MB (lfb 502x4MB) SWAP 0/1978MB (cached 0MB) IRAM 0/252kB(lfb 252kB) CPU [100%@1428,100%@1428,off,off] EMC_FREQ 3%@1600 GR3D_FREQ 0%@76 APE 25 PLL@41.5C CPU@43.5C PMIC@100C GPU@43.5C AO@52.5C thermal@43.5C POM_5V_IN 3348/2571 POM_5V_GPU 0/0 POM_5V_CPU 1510/914 |
Only two Cortex-A57 cores are used even under load, and power […]