GPU Comparison

The NVIDIA Quadro M4000M and the NVIDIA RTX 2000 Ada Generation represent two distinct eras of professional mobile and workstation graphics. The data shows a generational chasm in performance, with the newer RTX 2000 Ada Generation decisively outperforming the older Quadro M4000M in every benchmark category recorded. This analysis will quantify that gap, examine the architectural and specification differences that drive it, and determine which user profile aligns with each card based strictly on the benchmark data.

Head-to-Head Benchmarks

The head-to-head data presents a clear and unambiguous picture: the NVIDIA RTX 2000 Ada Generation outperforms the NVIDIA Quadro M4000M in both available benchmark tests. The largest single win for the newer card comes in the geekbench_vulkan test, where the RTX 2000 Ada Generation scores 83,360 against the Quadro M4000M's 20,971. This represents a -74.8% delta, meaning the RTX 2000 Ada Generation is roughly four times faster in this workload. The Vulkan API is a modern low-overhead graphics interface, and the data indicates the Ada Lovelace architecture handles it with far greater efficiency than the Maxwell 2.0 architecture.

The other head-to-head test, geekbench_opencl, shows a similar but slightly smaller performance gap. The RTX 2000 Ada Generation scores 78,074 while the Quadro M4000M scores 19,989, a delta of -74.4%. This near-identical percentage in both OpenCL and Vulkan suggests the performance advantage is not tied to a specific API but is a fundamental architectural and specification superiority. The RTX 2000 Ada Generation simply processes compute and graphics workloads at a much higher rate.

Looking at the broader benchmark context, the RTX 2000 Ada Generation's average benchmark score is 18,954, placing it in the 63rd percentile of all GPUs. Its nearest rivals include the NVIDIA Quadro K6000 with a score of 19,030 (a -0.4% delta) and the AMD Radeon RX 6600 with 19,036 (also -0.4%). This indicates the RTX 2000 Ada Generation sits in a competitive performance tier, slightly below those two cards but ahead of the NVIDIA Tesla K80 by 0.5%.

The Quadro M4000M, despite its much lower raw scores, has a higher average benchmark score of 20,480 and a slightly higher percentile ranking at the 65th percentile. This apparent contradiction is explained by its benchmark set, which includes only the geekbench tests. Its nearest rivals in this context are the NVIDIA GeForce RTX 3070 Mobile (20,534, -0.3% delta) and the Intel Arc B570 (20,556, -0.4% delta). While the Quadro M4000M's average score is higher than the RTX 2000 Ada Generation's average, the direct head-to-head test results show that the RTX 2000 Ada Generation is vastly superior in raw compute power. The average score metric is skewed by the different test suites used for each card.

The Verdict

The data is unequivocal for most workloads: the NVIDIA RTX 2000 Ada Generation is the superior product. Its performance in the geekbench_opencl and geekbench_vulkan tests is roughly 3.9x and 4.0x higher, respectively, than the Quadro M4000M. For any user running modern compute, rendering, or AI-adjacent tasks that leverage OpenCL or Vulkan, the RTX 2000 Ada Generation is the clear choice. Its 12.00 TFLOPS of FP32 performance and 12.00 TFLOPS of FP16 performance dwarf the Quadro M4000M's 2.593 TFLOPS FP32 capability. The RTX 2000 Ada Generation also boasts dedicated 22 RT cores and 88 tensor cores, features entirely absent from the Quadro M4000M, making it suitable for ray-traced workflows and tensor-based acceleration.

The Quadro M4000M, however, is an end-of-life product. Its benchmark scores, while lower, place it in a similar performance percentile as the RTX 2000 Ada Generation due to the different benchmark pools. A user constrained to the Quadro M4000M would be working with a 4 GB GDDR5 memory buffer, which is a significant limitation for modern professional applications. The RTX 2000 Ada Generation offers 16 GB of GDDR6 memory across a 128-bit bus, yielding a bandwidth of 256.0 GB/s compared to the Quadro's 160.4 GB/s.

In short, the RTX 2000 Ada Generation is the pick for any modern professional workload requiring high compute throughput, larger memory capacity, and hardware-accelerated ray tracing or tensor operations. The Quadro M4000M is a legacy part whose performance is now superseded by a significant margin. There is no benchmark category where the Quadro M4000M wins. The verdict is a recommendation for the RTX 2000 Ada Generation for all but the most constrained legacy application scenarios.

Architecture Differences

The two GPUs are built on fundamentally different architectures from different eras. The Quadro M4000M is based on the GM204 chip using the Maxwell 2.0 architecture, manufactured on a 28 nm process at TSMC. This older node results in a transistor count of 5,200 million on a die size of 398 mm², yielding a transistor density of 13.1M / mm². In contrast, the RTX 2000 Ada Generation uses the AD107 chip based on the Ada Lovelace architecture, built on a much more advanced 5 nm process, also at TSMC. This allows for a vastly higher transistor count of 18,900 million packed into a smaller die of 159 mm², achieving a density of 118.9M / mm².

This architectural leap brings significant feature additions. The RTX 2000 Ada Generation introduces 22 RT cores and 88 tensor cores, hardware units dedicated to ray tracing and AI/matrix operations, respectively. The Quadro M4000M has no such dedicated hardware. The RTX 2000 Ada Generation also supports DirectX 12 Ultimate (12_2), while the Quadro M4000M is limited to DirectX 12 (12_1). Both cards support OpenGL 4.6 and Vulkan 1.4, but the underlying implementation is generationally different. The Ada Lovelace chip is also more power-efficient, a point underscored by its 70 W TDP versus the Quadro's 100 W TDP, despite the massive performance advantage.

The memory architecture also differs. The RTX 2000 Ada Generation uses GDDR6 memory with a 16 Gbps effective data rate, while the Quadro M4000M uses GDDR5 with a 5 Gbps effective rate. Although the RTX 2000 Ada Generation has a narrower 128-bit bus compared to the Quadro's 256-bit bus, the higher clock speed of its memory results in a higher total bandwidth of 256.0 GB/s versus 160.4 GB/s. This is a key architectural shift, prioritizing higher per-pin data rates over a wider bus.

Specification Differences

The specification tables reveal several key differences beyond the architecture. The RTX 2000 Ada Generation has more than double the shading units, with 2,816 compared to the Quadro M4000M's 1,280. It also has more texture mapping units (88 vs 80), though fewer ROPs (48 vs 64). The clock speeds are substantially higher on the newer card, with a base clock of 1620 MHz and a boost clock of 2130 MHz, compared to the Quadro's 975 MHz base and 1013 MHz boost. These higher clocks, combined with more cores, produce the massive compute advantage: the RTX 2000 Ada Generation delivers 12.00 TFLOPS of FP32 and FP16 performance, while the Quadro M4000M manages only 2.593 TFLOPS of FP32.

Memory capacity is a major differentiator, with the RTX 2000 Ada Generation offering 16 GB versus the Quadro's 4 GB. The bus interface also advances from PCIe 3.0 x16 on the Quadro to PCIe 4.0 x8 on the RTX 2000 Ada Generation. The physical form factors differ as well; the Quadro M4000M is an MXM Module while the RTX 2000 Ada Generation is a Dual-slot card with dimensions of 168 mm in length and 69 mm in height. The RTX 2000 Ada Generation has a 250 W suggested PSU and its display outputs are 4x mini-DisplayPort 1.4a, whereas the Quadro's outputs are listed as "Portable Device Dependent." The RTX 2000 Ada Generation's launch MSRP is 649 USD. The production status also differs, with the Quadro marked as End-of-life and the RTX 2000 Ada Generation listed as Active.

FAQ

Q: Which GPU is faster in the geekbench_opencl benchmark?

A: The NVIDIA RTX 2000 Ada Generation is significantly faster, scoring 78,074 compared to the NVIDIA Quadro M4000M's 19,989, a -74.4% delta.

Q: How much memory does each card have?

A: The NVIDIA Quadro M4000M has 4 GB of GDDR5 memory, while the NVIDIA RTX 2000 Ada Generation has 16 GB of GDDR6 memory.

Q: Does the Quadro M4000M support hardware ray tracing?

A: No. The Quadro M4000M has no RT cores listed in its specifications. The RTX 2000 Ada Generation includes 22 RT cores.

Q: What is the difference in their process nodes?

A: The Quadro M4000M is built on a 28 nm process, while the RTX 2000 Ada Generation uses a 5 nm process.

Q: Which card has a higher FP32 performance?

A: The RTX 2000 Ada Generation has a significantly higher FP32 performance at 12.00 TFLOPS, compared to the Quadro M4000M's 2.593 TFLOPS.

Q: What is the production status of each card?

A: The NVIDIA Quadro M4000M is marked as End-of-life, while the NVIDIA RTX 2000 Ada Generation is listed as Active.

Where Each One Wins

Based on the benchmark data, the NVIDIA RTX 2000 Ada Generation wins in every measured category. Its victories in geekbench_opencl and geekbench_vulkan are decisive, and its specification sheet supports wins in memory capacity, memory bandwidth, compute throughput, and feature support. It is the clear winner for tasks like modern 3D rendering, GPU-accelerated compute, machine learning inference, and any workload that can utilize its 22 RT cores and 88 tensor cores. Its higher 12.00 TFLOPS FP32 and FP16 performance makes it suitable for scientific computing and simulation tasks that demand high precision and throughput.

The NVIDIA Quadro M4000M, given the data, does not win any performance benchmark. Its only potential advantage lies in its compatibility with legacy systems that require an MXM Module form factor and PCIe 3.0 x16 interface. For a user maintaining a specific older mobile workstation that cannot be upgraded to a newer card, the Quadro M4000M is the only option. However, this is not a performance win but a compatibility one. Its lower 100 W TDP is higher than the RTX 2000 Ada Generation's 70 W, so it does not win on efficiency either. The data shows that in terms of raw capability, the RTX 2000 Ada Generation is the superior choice for all current and future professional workloads.