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RT-DETR-Edge

22%
by Baidu Research

Real-time DETR optimized for transformer-friendly NPUs. Wins on transformer-class silicon, struggles on legacy NPUs.

Object detectionApache-2.0INT8FP16transformercocodetection
92K downloads 5.4K deploymentsUpdated Apr 2, 2028
Headline:18.6ms · NVIDIA Jetson Orin Nano · FP16

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 platformQuantLatency p50(ms)Latency p95(ms)ThroughputAcc. retention(%)Power(W)Memory(MB)Tested by
N
NVIDIA Jetson Thor
2070 TOPS · Module
FP166.127.99163 FPS99.9102.351Fo’c’sle HIL
N
NVIDIA Jetson AGX Orin
275 TOPS · Module
FP169.4911.7105 FPS99.840.851Fo’c’sle HIL
Q
Qualcomm QCS8550
48 TOPS · SoC
INT816.120.662 FPS98.213.126Community
N
NVIDIA Jetson Orin Nano
40 TOPS · SoM
INT817.320.958 FPS98.211.426Publisher
A
AMD Versal AI Edge VE2302
22 TOPS · SoC
INT818.823.353 FPS98.910.226Community
Apple Neural Engine (M4)
38 TOPS · SoC
FP1619.624.651 FPS99.86.851Community
Q
Snapdragon 8 Gen 3 NPU
45 TOPS · SoC
Coming Q4 2028
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
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
I
Intel Movidius Myriad X
4 TOPS · SoC
Not supported
R
Rockchip RK3588
6 TOPS · SoC
Not supported
Leader per columnCOCO 2017 val · 1080p input · single-stream, batch=1

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.