MiDaS-Distilled-S

Distilled MiDaS small. Maintained reference for cross-vendor depth comparisons.

DepthMITINT8FP16monoculardepthreference

88K downloads 4.2K deploymentsUpdated Dec 18, 2027

Headline:22.4ms · Snapdragon 8 Gen 3 NPU · FP16

Overview Benchmarks6 Sim Results Deploy6 Files Discussion23

Cross-chip benchmark matrix

Every supported chip, in matched-pair runs from the Fo’c’sle HIL lab. Sortable by any column — click a header. Cells where the chip can’t run this model show Not supported.

Chip platform	Quant	Latency p50(ms)	Latency p95(ms)	Throughput	Acc. retention(%)	Power(W)	Memory(MB)	Tested by
N NVIDIA Jetson AGX Orin 275 TOPS · Module	FP16	8.49	10.7	118 FPS	99.8	50.9	43	Fo’c’sle HIL
Q Snapdragon 8 Gen 3 NPU 45 TOPS · SoC	INT8	9.53	12.7	105 FPS	98.6	7.3	22	Publisher
N NVIDIA Jetson Orin Nano 40 TOPS · SoM	INT8	12.8	16.7	78 FPS	98.8	14.1	22	Fo’c’sle HIL
Q Qualcomm QCS8550 48 TOPS · SoC	INT8	14.0	18.2	71 FPS	97.5	13.4	22	Community
Apple Neural Engine (M4) 38 TOPS · SoC	FP16	15.9	19.7	63 FPS	99.4	7.4	43	Publisher
I Intel Movidius Myriad X 4 TOPS · SoC	INT8	61.2	81.3	16 FPS	97.8	1.8	22	Fo’c’sle HIL
H Hailo-8 26 TOPS · M.2	Not supported
H Hailo-10H 40 TOPS · M.2	Not supported
Q Qualcomm QCS6490 12 TOPS · SoC	Not supported
N NVIDIA Jetson Thor 2070 TOPS · Module	Not supported
π Raspberry Pi 5 + Hailo HAT 26 TOPS · HAT	Not supported
A Ambarella CV5 16 TOPS · SoC	Not supported
A Ambarella CV72 32 TOPS · SoC	Not supported
M MediaTek Genio 700 4 TOPS · SoC	Not supported
G Google Coral Edge TPU 4 TOPS · USB	Not supported
A AMD Versal AI Edge VE2302 22 TOPS · SoC	Not supported
R Rockchip RK3588 6 TOPS · SoC	Not supported

Leader per columnKITTI 2015 stereo eval · 1216×352 · monocular

HIL conditions

All numbers measured on Fo’c’sle HIL rigs in Tel Aviv (primary), Munich (secondary), and Pittsburgh (robotics). Single-stream, batch-1, real preprocessing, real downstream consumer. p50/p95 are over 10,000-frame steady-state windows after a 30-second warm-up. Power draw is package power, not wall power. Memory footprint is the resident model + activations footprint at peak — not on-disk.

Submitted publisher numbers are accepted only if they reproduce within ±8% of an HIL-lab matched run on the same chip in the same input mode. Otherwise they live separately under the Discussion tab.