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Hardware manufacturers: Nvidia GeForce RTX 5090 vs. Apple M4 Ultra

Quick Verdict

The Nvidia GeForce RTX 5090 is positioned as a high-performance graphics card for gaming, content creation, and AI/ML tasks, while the Apple M4 Ultra is a powerful SoC designed for a broad range of professional applications with a focus on efficiency and integration within the Apple ecosystem. The RTX 5090 is expected to offer superior graphics performance, particularly in CUDA-optimized applications, while the M4 Ultra provides a balance of performance and power efficiency, making it suitable for users prioritizing silent operation and integrated performance within Apple devices.

Key features – Side-by-Side

AttributeNvidia GeForce RTX 5090Apple M4 Ultra
NameNvidia GeForce RTX 5090Apple M4 Ultra
ArchitectureBlackwell 2.0ARMv9.2a
Manufacturing Process5 nm (Some sources mention 4N FinFET process at TSMC)TSMC's second-generation 3nm process
CUDA Cores/GPU Cores21,760Up to 80-core GPU with 10240 shaders, 640 TMUs, and 320 ROPs
Clock Speed (Base/Boost)Base: 2.017 GHz, Boost: 2.407 GHz (Some sources mention 2.41 GHz)Base clock frequency is 4520 MHz
Memory (Type/Size/Bandwidth)32 GB GDDR7, 512-bit interface, 1.792 TB/s (Some sources cite approximately 1.8 TB/s)Up to 128GB of RAM, M4 Pro supports up to 64GB of LPDDR memory capable of 273GB/sec of bandwidth, while the more powerful M4 Max boasts twice that at 128GB and 546GB/sec.
Power Consumption (TDP)575 W (1000W PSU recommended)M4 (10 cores) has a TDP of 22W (max boost up to 40W). Assumed chip consumes 90 W to 100 W when under full load.
Ray Tracing PerformanceExpected to deliver significant improvements compared to previous generations. Expected to outperform the RTX 4090 by a significant margin in ray-traced games.Ray tracing engine that is twice as fast as the M3
AI/Machine Learning Performance (Tensor Cores/Neural Engine)680 Tensor Cores (5th generation). Expected to deliver strong AI/ML performance. High AI TOPS (trillions of operations per second), suitable for deep learning tasks.Neural Engine delivers 38 trillion operations per second (TOPS)
Gaming Performance (Frame Rates at various resolutions)Not availableNot available
Content Creation Performance (Video Encoding/Decoding)Shows improvements in video editing tasks. Expected to be faster in GPU-accelerated tasks within video editing software compared to the RTX 4090.Ideal for video rendering, graphics processing, scientific computing, creative professionals, software developers
Thermal Design and Cooling SolutionDual-slot cooling solution. Founders Edition has a "Double Flow Through" cooler design.Operates almost silently, even under heavy workloads, providing a distraction-free environment
Price$1999 (Launch Price, Current prices may vary)Not available
RatingsOverall: Not available, Performance: Not availableOverall: One of Apple s most powerful silicon advancements, combining high core counts, improved machine learning capabilities, and advanced graphics rendering. CPU: Estimated 40,012 points in multi-core benchmark. The M4 competes for the highest-scoring consumer SoC for single-core benchmarks. GPU: Estimated score of 330,000 in OpenCL benchmarks, suggesting a 78% improvement in GPU scaling over the M4 Max.

Overall Comparison

Nvidia GeForce RTX 5090: 21,760 CUDA Cores, 32 GB GDDR7 Memory, 575W TDP. Apple M4 Ultra: Up to 80-core GPU, Up to 128GB RAM, 38 TOPS Neural Engine.

Pros and Cons

Nvidia GeForce RTX 5090

Pros:
  • Expected significant improvements in ray tracing performance
  • Expected faster video editing performance in GPU-accelerated tasks
  • Strong AI/ML performance with 5th generation Tensor Cores
  • High memory bandwidth (1.792 TB/s)
  • PCI-Express 5.0 x16 interface
Cons:
  • High power consumption (575W TDP)
  • Requires a 1000W PSU
  • Performance can be affected by CPU bottlenecks; a high-end CPU is recommended

Apple M4 Ultra

Pros:
  • High core counts
  • Improved machine learning capabilities
  • Advanced graphics rendering
  • Ideal for video rendering, graphics processing, scientific computing, creative professionals, software developers
  • Cutting edge in machine learning and ultra high end graphics work
  • Operates almost silently, even under heavy workloads, providing a distraction-free environment
Cons:
  • Estimated performance data based on engineering samples, final specifications and real-world performance may vary
  • RTX 5090 significantly outpaces the M4 Max GPU for graphics-intensive workloads, including video editing, 3D modeling, and gaming
  • RTX 5090 has 3.3x higher memory bandwidth: 1792 vs 546 GB/s
  • RTX 5090 is compatible with the extensive CUDA software ecosystem that’s critical for many professional applications

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