Jetson Orin Nano 15W vs MAXN Super: Power Benchmarks (2026)

See also

This article focuses on the 15W vs MAXN Super comparison. For full power consumption data across all modes and workloads, see Jetson Orin Nano Power Consumption: Idle, 15W, MAXN Benchmarks.

Who This Page Is For

• Deciding which nvpmodel power mode to run in production
• Evaluating whether MAXN Super is worth the thermal and power tradeoffs
• Planning cooling and PSU sizing for a specific power mode
• Understanding the throughput-vs-efficiency curve across Orin Nano power modes

All Orin Nano Power Modes Explained

The Jetson Orin Nano supports six power modes via nvpmodel. Each mode caps GPU/CPU frequency and power draw at different levels, creating a spectrum from ultra-low-power battery operation to fully uncapped throughput. Understanding all six provides context for why 15W and MAXN Super are the two modes that dominate production deployments.

The 5W and 7W modes are specialized for battery-powered or always-on sensor applications where inference runs intermittently. The 10W mode works for light single-camera setups. But the vast majority of production edge AI deployments land on either 15W (the default, efficient, and widely compatible) or MAXN Super (when maximum throughput justifies active cooling and higher power draw).

The 25W Super mode sits between the two but is rarely the optimal choice — it requires the same active cooling as MAXN Super while delivering less throughput. In practice, if you need active cooling anyway, MAXN Super is the better option.

15W vs MAXN Super: Head-to-Head

The table below compares the two modes across every metric that matters for deployment planning. All values are measured under sustained YOLO11 inference workloads on JetPack 6.2.

The throughput gain from MAXN Super is real but not linear with power. You get 60% more streams for 70% more power. That is a meaningful gain when power is unconstrained, but the diminishing efficiency makes it a poor choice for power-limited installations.

Peak power is the number that matters for PSU sizing. At 32W peak, MAXN Super requires a supply capable of delivering at least 40W after accounting for conversion losses and peripheral overhead. The 15W mode's 19W peak is comfortably within the range of most compact 20–30W USB-C supplies.

→ Calculate your exact power budget →

When to Use 15W Mode

The 15W mode is the right choice for the majority of Orin Nano deployments. It offers the best balance of throughput, thermal headroom, and power efficiency. Use it when any of the following constraints apply:

Battery-powered deployments

At 13–16W sustained draw, a 100Wh battery provides 6–7 hours of continuous inference. In duty-cycled applications (inference on motion trigger), the effective average power drops to 8–10W, extending runtime to 10+ hours. MAXN Super's 20–28W draw would cut battery life by roughly 40%.

Fanless and sealed enclosures

Many industrial and outdoor enclosures are sealed against dust and moisture, precluding active cooling. The 15W mode runs comfortably with a passive heatsink in ambient temperatures up to ~40°C. MAXN Super would throttle within minutes in the same enclosure, producing inconsistent inference latency as the thermal controller oscillates.

→ Jetson Thermal Limits: When Fanless Systems Throttle

PoE-powered installations

Standard PoE+ (802.3at) delivers 25.5W at the powered device. After DC-DC conversion losses and peripheral power (NVMe, Ethernet PHY), approximately 18–20W remains for the module. The 15W mode fits within this budget; MAXN Super does not. Only PoE++ (802.3bt, 51W) provides enough headroom for MAXN Super, and most edge switches do not support it.

→ PoE Power Budget Calculator

Outdoor and remote sites

Solar panels, limited grid connections, and harsh thermal environments all favor lower power draw. The 15W mode reduces the solar panel and battery capacity needed by 40–50% compared to MAXN Super, directly lowering BOM cost for outdoor installations.

Multi-device deployments at scale

In deployments with 50+ devices, the aggregate power savings of 15W mode versus MAXN Super add up. At 100 devices, the difference is 500–1,200W of continuous power draw — significant for electrical infrastructure, cooling, and operating costs.

When to Use MAXN Super

MAXN Super is the right choice when throughput is the priority and power, cooling, and PSU capacity are not constraining factors. This mode unlocks the full potential of the Orin Nano's Ampere GPU.

Maximum camera count per device

When you need 6–8 concurrent 1080p streams at 15fps with YOLO11n, MAXN Super is the only mode that delivers it reliably. At 15W mode, the same hardware saturates around 4–6 streams. If adding one more camera avoids deploying a second Orin Nano ($200+ plus installation), MAXN Super pays for itself in reduced hardware count.

Indoor installations with active cooling

Server rooms, indoor retail analytics, and lab environments typically have controlled temperatures (18–25°C) and ventilation. Active cooling is trivial in these settings. Running at MAXN Super maximizes the return on hardware investment by extracting the highest possible throughput from each device.

Development and benchmarking

During model optimization and pipeline benchmarking, MAXN Super establishes the upper bound of what the hardware can deliver. This gives you a clear picture of headroom before locking in the production power mode. Run benchmarks at MAXN Super to find the ceiling, then validate that 15W mode provides sufficient throughput for your actual workload.

Power budget is unconstrained

Deployments with AC mains power and 40W+ PSUs have no reason to leave throughput on the table. If your system already includes a fan for NVMe thermal management or GPU cooling, the incremental cost of running MAXN Super is just the additional 7–12W of electrical draw.

→ Design your system with the System Designer →

How to Switch Between 15W and MAXN Super

Switching power modes on the Jetson Orin Nano uses the nvpmodel utility. The change takes effect immediately, though a reboot is recommended for production systems.

Check your current power mode

nvpmodel -q

This displays the active mode ID and name.

Switch to 15W mode

sudo nvpmodel -m 1

Switch to MAXN Super

sudo nvpmodel -m 0

Lock clocks at the mode's maximum

sudo jetson_clocks

Without jetson_clocks, the DVFS governor will dynamically scale clocks based on load. For benchmarking, lock the clocks. For production, DVFS is usually preferable — it reduces average power consumption during idle periods between inference frames.

Verify the change

nvpmodel -q
# Expected output for 15W: "NV Power Mode: MODE_15W"
# Expected output for MAXN Super: "NV Power Mode: MAXN"

Persist across reboots

The selected power mode persists across reboots automatically. The nvpmodel utility writes the mode to /etc/nvpmodel.conf. For fleet management, set the mode in your provisioning script or systemd unit file.

Production note: Reboot after changing power modes in production. While the change takes effect immediately, a reboot ensures the thermal governor, memory controller, and clock managers are cleanly re-initialized for the new power envelope.

Efficiency Analysis: Streams per Watt

Raw throughput is not the only metric that matters. In power-constrained deployments, streams per watt determines how many cameras you can serve per unit of electrical and thermal budget.

The efficiency gap is modest — 15% fewer streams per watt at MAXN Super. For mains-powered deployments, this is irrelevant. For battery or solar deployments, it compounds over time. A solar-powered installation that runs 12 hours per day will need roughly 40% more panel capacity to sustain MAXN Super versus 15W mode.

The crossover point is the cost of power versus the cost of hardware. If deploying a second Orin Nano (hardware + installation + networking) costs more than the incremental power infrastructure for MAXN Super, then running fewer devices at higher power is more economical.

Frequently Asked Questions

Conclusion

For most Jetson Orin Nano deployments, 15W mode is the right default. It delivers 4–6 concurrent 1080p inference streams with YOLO11n, works with passive cooling, fits within PoE+ power budgets, and supports battery operation. It is the mode that NVIDIA ships as the default for good reason.

MAXN Super is a targeted upgrade for deployments where you need 6–8 streams, have active cooling, and power is not constrained. The 1.6× throughput gain is significant enough to justify the tradeoffs when it eliminates the need for a second device.

The decision reduces to a single question: is power or throughput your binding constraint? If power, stay at 15W. If throughput, switch to MAXN Super and size your cooling and PSU accordingly.

→ Full power consumption data across all modes and workloads

→ Power per camera: tables for 1–16 cameras

→ Calculate your exact power budget