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Syahrul Al-Rasyid
Syahrul Al-Rasyid

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GPU Performance Comparison: RTX 50 Series vs Jetson Modules

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.

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