GPU Performance Comparison: RTX 50 Series vs Jetson Modules

This content originally appeared on DEV Community and was authored by Syahrul Al-Rasyid

Complete Specifications Table

Feature	RTX 5080	RTX 5070	RTX 5060	RTX 5050	Jetson AGX Orin 32GB	Jetson Orin NX 16GB
CUDA Cores	10,752	6,144	3,840	2,560	2,048	1,024
Tensor Cores	336 (5th Gen)	192 (5th Gen)	120 (5th Gen)	80 (5th Gen)	64	32
AI Performance (INT8)	~1,800 TOPS*	~1,150 TOPS*	~770 TOPS*	~500 TOPS*	275 TOPS	100 TOPS
FP32 Performance	56.3 TFLOPS	30.9 TFLOPS	19.2 TFLOPS	12.8 TFLOPS	5.32 TFLOPS	2.62 TFLOPS
FP16 Performance	112.6 TFLOPS	61.8 TFLOPS	38.4 TFLOPS	25.6 TFLOPS	10.65 TFLOPS	5.24 TFLOPS
Memory	16GB GDDR7	12GB GDDR7	8GB GDDR7	8GB GDDR6	32GB LPDDR5	16GB LPDDR5
Memory Bandwidth	960 GB/s	672 GB/s	448 GB/s	336 GB/s	204.8 GB/s	102.4 GB/s
Memory Bus	256-bit	192-bit	128-bit	128-bit	256-bit	128-bit
TDP	360W	220W	170W	100W	15W - 60W	10W - 25W
Architecture	Blackwell	Blackwell	Blackwell	Blackwell	Ampere	Ampere
Process Node	TSMC 4nm	TSMC 4nm	TSMC 4nm	TSMC 4nm	Samsung 8nm	Samsung 8nm
CPU	N/A	N/A	N/A	N/A	12-core ARM Cortex-A78AE	8-core ARM Cortex-A78AE
Form Factor	PCIe Desktop	PCIe Desktop	PCIe Desktop	PCIe Desktop	SOM Module	SOM Module
Target Use Case	Gaming/Workstation	Gaming/Workstation	Gaming/Desktop	Budget Gaming	Edge AI/Robotics	Edge AI/Embedded
Price (MSRP)	$999	$549	$299	~$199	~$699	~$449

Performance Per Watt Analysis

Device	AI TOPS per Watt	FP32 TFLOPS per Watt
RTX 5080	~5.0	0.156
RTX 5070	~5.2	0.140
RTX 5060	~4.5	0.113
RTX 5050	~5.0	0.128
Jetson AGX Orin 32GB	9.2 (at 30W)	0.177 (at 30W)
Jetson Orin NX 16GB	10.0 (at 10W)	0.262 (at 10W)

Key Observations

RTX 50 Series Advantages:

Raw Performance: Significantly higher compute power for gaming and heavy workloads
Memory Bandwidth: Much faster GDDR7 memory for graphics-intensive tasks
Ray Tracing: Advanced 4th generation RT cores
DLSS 4: Multi-frame generation technology
Ecosystem: Full desktop/workstation software compatibility

Jetson Advantages:

Power Efficiency: 10-36x more power efficient per TOPS
Integrated System: Built-in ARM CPU, no separate processor needed
Compact Form Factor: Small SOM (System-on-Module) design
Thermal Design: Fanless operation possible at lower TDP
Edge Deployment: Purpose-built for robotics, autonomous vehicles, IoT
Total Cost of Ownership: Lower power costs for 24/7 operation

Use Case Recommendations:

Choose RTX 50 Series if you need:

High-end gaming performance
Content creation (video editing, 3D rendering)
ML training workloads
Desktop/workstation applications
Maximum raw compute power

Choose Jetson if you need:

Edge AI inference deployment
Robotics and autonomous systems
Low-power 24/7 operation
Embedded applications
Battery-powered devices
Industrial/automotive applications

Note: TOPS ratings marked with * for RTX 50 series are estimated based on tensor core specifications. NVIDIA doesn't typically publish INT8 TOPS for gaming GPUs as they're optimized for different workloads than embedded AI platforms.

This content originally appeared on DEV Community and was authored by Syahrul Al-Rasyid

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Syahrul Al-Rasyid | Sciencx (2025-10-07T09:27:04+00:00) GPU Performance Comparison: RTX 50 Series vs Jetson Modules. Retrieved from https://www.scien.cx/2025/10/07/gpu-performance-comparison-rtx-50-series-vs-jetson-modules/

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