I tried to compile GluonCV SSD model ssd_512_mobilenet1.0_voc for llvm x86 and for tvm.target.mali('rk3399').
Both compilations worked fine but inference results are different.
I used image from GluonCV tutorial - street_small.jpg preprocessed using gluoncv.data.transforms.presets.ssd.load_test(short=512)
### llvm x86
# The result is the same as in original GluonCV SSD model
# 9 objects with score >= 50% - 1 bicycle, 2 car, 6 person
# score class_id label bbox
0.99883384 1 bicycle [311.92276 280.6423 480.24875 395.4282 ]
0.9818761 6 car [256.52148 226.02039 375.46075 297.76758]
0.93540573 14 person [ 17.623653 212.96735 95.69469 362.3305 ]
0.8603827 14 person [349.0219 198.23361 445.78577 399.68332]
0.83436245 14 person [130.7037 220.82726 145.0582 268.93137]
0.7953389 6 car [212.75687 212.65344 284.37183 290.7951 ]
0.7874611 14 person [145.45284 223.99316 158.44994 267.89554]
0.712249 14 person [184.73701 207.67241 242.56184 327.2542 ]
0.6019558 14 person [170.67674 217.86595 199.24776 299.4095 ]
### tvm.target.mali('rk3399')
# 100 objects with score >= 50% - 20 bicycle, 2 car, 5 person, 73 aeroplane
# lots of objects with score > 100%
# score class_id label bbox
1.5823054 0 aeroplane [1.0612862 0.6428509 0.33811423 0. ]
1.5558598 0 aeroplane [0.7675109 0.5182781 0.2734055 0. ]
1.545749 1 bicycle [1.2887409 1.0955629 0.89454305 0.7174907 ]
1.5409416 1 bicycle [1.107888 1.1792644 1.4139477 1.3293245]
1.4165628 0 aeroplane [2.0808587 2.0669181 1.6659384 1.3989905]
1.340633 1 bicycle [0.9456403 0.9181117 1.2002937 1.0714405]
1.3251178 1 bicycle [1.1574025 1.23634 1.0462368 0.73867166]
1.2862756 1 bicycle [0. 0. 0. 0.20761052]
1.2726729 1 bicycle [0.9707655 0.70205534 0.6896615 0.49442405]
1.2660424 1 bicycle [0.8439723 0.9891814 1.1026793 1.1307108]
1.2225115 0 aeroplane [0.8461864 0.12424816 0. 0. ]
1.190823 0 aeroplane [1.4713199 1.4375634 0.46537843 0. ]
1.1863184 0 aeroplane [1.1920383 0.5074234 0.2274646 0.08333829]
1.1355017 1 bicycle [0.96647227 0.35146737 0.21094643 0.26085588]
1.1335651 0 aeroplane [0.54785633 0.41987288 0.26876858 0.0058417 ]
1.1303611 1 bicycle [0.9115986 1.5116146 0.83921695 0.62559855]
1.1276394 0 aeroplane [0.8510597 0.33030063 0.8345822 0.3915038 ]
1.1084547 0 aeroplane [1.1133226 0.9229205 0.5499488 0.30741337]
1.1072786 0 aeroplane [1.0158645 0.21140838 0. 0.15299392]
1.1025088 1 bicycle [0.4311658 0.4416018 0.21874952 0.24016196]
1.0849174 0 aeroplane [0.87456214 0.7318405 0.75175357 0.90420747]
1.036535 0 aeroplane [1.4980737 1.5669382 1.5268793 1.1016318]
1.0251759 0 aeroplane [0.7962408 1.2129316 1.2494624 0.9876696]
1.0186558 0 aeroplane [0.9292245 0.865847 0.8836466 1.3513273]
1.0065148 0 aeroplane [0.4001711 0.0413961 0. 0. ]
1.0005158 0 aeroplane [0.68182206 0.9958501 0.52712834 0.24823435]
0.99883384 1 bicycle [311.92273 280.6423 483.44757 366.8985 ]
0.9978578 0 aeroplane [0.8149737 0.47029173 0.49533165 0.32302207]
0.9929792 0 aeroplane [0.7763098 0.15265542 0. 0. ]
0.9818761 6 car [256.52148 226.02036 339.73038 323.5351 ]
0.9815484 0 aeroplane [0.88672113 0.4353604 0.27727872 0.4599397 ]
0.9707349 1 bicycle [0.53209877 0.9191654 0.9622632 0.6007136 ]
0.9457397 0 aeroplane [0.44022727 0. 0. 0. ]
0.93640554 0 aeroplane [1.1516927 1.2499415 0.97149754 0.42520648]
0.9354051 14 person [ 17.62365 212.96735 164.82767 327.81332]
0.93506193 0 aeroplane [0.50178397 0.2142425 0. 0. ]
0.92934954 0 aeroplane [0.87120676 0.43420005 0.4443583 0.7075026 ]
0.92929757 0 aeroplane [0.9707571 0.330072 0.51393443 0.34264034]
0.90576226 0 aeroplane [0.70162296 0.06581405 0. 0. ]
0.90160996 0 aeroplane [0.69183666 0.42637348 0.22179589 0. ]
0.898031 0 aeroplane [0.71883494 0.510046 0.6338638 1.0645595 ]
0.8898927 0 aeroplane [0. 0. 0. 0.]
0.87768936 0 aeroplane [0.55049384 0.12136862 0.03813171 0. ]
0.8763647 0 aeroplane [0.50491345 0.2015484 0.14727682 0.6608703 ]
0.87509793 0 aeroplane [0.59303546 0.26502514 0.5189958 0.04242197]
0.8734181 0 aeroplane [0.8476893 0.5869044 0.47991008 0.40104437]
0.8603797 14 person [349.0219 198.23355 512.15173 324.12656]
0.8516257 1 bicycle [1.3946235 1.0379905 0.904202 0.78918004]
0.84934616 1 bicycle [0.47831392 0. 0.23665243 0.63362116]
0.8466381 1 bicycle [0.77948475 0.78839695 0.6248063 0.46815783]
0.83639205 0 aeroplane [0.9563688 1.1468122 1.1124576 0.53170276]
0.83436203 14 person [130.7037 220.82726 145.0582 268.93137]
0.8226299 0 aeroplane [1.2033314 1.0960646 0.75911355 0.2228817 ]
0.8204712 0 aeroplane [0.41749817 0.16716182 0.0720408 0.02681321]
0.81481385 0 aeroplane [1.2920474 1.393214 1.2269064 0.8116064]
0.7953339 6 car [212.75685 212.65344 284.37183 290.7951 ]
0.78746045 14 person [145.45285 223.99316 158.44992 267.89554]
0.78290105 0 aeroplane [0.84571123 0.4586707 0.17901507 0. ]
0.7721739 0 aeroplane [0.21182677 0.20125294 0. 0. ]
0.76801527 0 aeroplane [0.34975743 0.6874822 1.1797105 1.1632812 ]
0.7662051 0 aeroplane [0.77315474 0.84332466 0.9398644 0.9426873 ]
0.7590816 0 aeroplane [0.9537035 0.42177492 0.2114219 0.09264582]
0.75160646 0 aeroplane [0.58506113 0.588799 0.22396028 0.20704624]
0.75092673 0 aeroplane [0.16874933 0. 0. 0. ]
0.74778306 1 bicycle [0. 0. 0.0788736 0.8791949]
0.74349463 0 aeroplane [0.67440987 0.26185703 0.11416936 0.4658394 ]
0.73532224 0 aeroplane [0.75051963 1.0833898 1.0806832 1.1322415 ]
0.7333882 0 aeroplane [0.71443284 0.600847 0.2782367 0.26314145]
0.72079766 0 aeroplane [0.7363094 0.57217395 0. 0. ]
0.7133771 0 aeroplane [0.9515971 1.2044042 0.63017833 0.26459414]
0.7122461 14 person [184.737 207.67242 292.65894 294.5574 ]
0.70781684 0 aeroplane [1.0500189 1.282826 1.263995 1.2673242]
0.706195 0 aeroplane [0.6051427 0.43965822 0.57344115 0.7641499 ]
0.7034395 0 aeroplane [0.15905681 0.26184222 0.12347919 0.32377112]
0.6984519 0 aeroplane [0.9621873 0.86146784 0.35820213 0. ]
0.69532025 1 bicycle [305.9198 275.57004 443.07428 457.44806]
0.6938748 0 aeroplane [0.70804965 0.6665212 0.44574636 0.52361226]
0.69147974 0 aeroplane [0.15398383 0.09417512 0.28831327 1.0575197 ]
0.68810093 0 aeroplane [0.8449187 0.61322176 0.06345853 0. ]
0.68150485 1 bicycle [0.46998554 0.22141188 0.11616701 0.0257147 ]
0.669511 0 aeroplane [0.8097224 0.9455615 0.5052085 0.2243784]
0.6639271 0 aeroplane [0.6898171 0.4062506 0.02646595 0. ]
0.6619834 0 aeroplane [0.41782573 0. 0. 0. ]
0.6546775 0 aeroplane [0.62482363 0.53851414 0.05290025 0.29209018]
0.654259 1 bicycle [0.31463876 0. 0.15885617 0.5382549 ]
0.65274 0 aeroplane [0.59100676 0.16067621 0. 0. ]
0.6479243 0 aeroplane [0.84906495 1.4042575 1.094893 0.6851456 ]
0.6442888 0 aeroplane [0.8200085 0.8635886 0.8926958 0.6045233]
0.64018744 0 aeroplane [0.8244102 0.8539413 0.16885157 0.05142185]
0.6392654 0 aeroplane [0.16514444 0.25101793 0.13594401 0.32062298]
0.63499784 0 aeroplane [0.23711498 0. 0. 0. ]
0.62918806 0 aeroplane [0.20165402 0. 0. 0.35375488]
0.6279786 0 aeroplane [0.79454845 1.2066615 1.0915481 0.95324254]
0.6236094 0 aeroplane [1.2512031 1.0596199 0.41794193 0.99301 ]
0.61735773 0 aeroplane [0.20427014 0.14911151 0. 0. ]
0.61197674 0 aeroplane [0. 0. 0.43294704 0.2212234 ]
0.6113349 0 aeroplane [0.39956802 0.34553128 0.09166968 0. ]
0.60923463 0 aeroplane [0.3598666 0.21451873 0.4378687 0.16640624]
0.608783 0 aeroplane [0.83296394 0.70367634 0.89337784 1.6359301 ]
0.60432965 1 bicycle [0.17938468 0.0156461 0.45149958 0.5475396 ]