AMD FirePro W4190M
AMD graphics card specifications and benchmark scores
At a Glance
AMDAMD FirePro W4190M Specifications
GPU Core
Shader units and compute resources
The AMD FirePro W4190M GPU core specifications define its raw processing power for graphics and compute workloads. Shading units (also called CUDA cores, stream processors, or execution units depending on manufacturer) handle the parallel calculations required for rendering. TMUs (Texture Mapping Units) process texture data, while ROPs (Render Output Units) handle final pixel output. Higher shader counts generally translate to better GPU benchmark performance, especially in demanding games and 3D applications.
FirePro W4190M Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the FirePro W4190M's performance in GPU benchmarks and real-world gaming. The base clock represents the minimum guaranteed frequency, while the boost clock indicates peak performance under optimal thermal conditions. Memory clock speed affects texture loading and frame buffer operations. The FirePro W4190M by AMD dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
AMD's FirePro W4190M Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The FirePro W4190M's memory capacity determines how well it handles high-resolution textures and multiple displays. Memory bandwidth, measured in GB/s, affects how quickly data moves between the GPU and VRAM. Higher bandwidth improves performance in memory-intensive scenarios like 4K gaming. The memory bus width and type (GDDR6, GDDR6X, HBM) significantly influence overall GPU benchmark scores.
FirePro W4190M by AMD Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the FirePro W4190M, reducing the need to fetch data from slower VRAM. L1 and L2 caches store frequently accessed data close to the compute units. AMD's Infinity Cache (L3) dramatically increases effective bandwidth, improving GPU benchmark performance without requiring wider memory buses. Larger cache sizes help maintain high frame rates in memory-bound scenarios and reduce power consumption by minimizing VRAM accesses.
FirePro W4190M Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the AMD FirePro W4190M against other graphics cards. FP32 (single-precision) performance, measured in TFLOPS, indicates compute capability for gaming and general GPU workloads. FP64 (double-precision) matters for scientific computing. Pixel and texture fill rates determine how quickly the GPU can render complex scenes. While real-world GPU benchmark results depend on many factors, these specifications help predict relative performance levels.
GCN 1.0 Architecture & Process
Manufacturing and design details
The AMD FirePro W4190M is built on AMD's GCN 1.0 architecture, which defines how the GPU processes graphics and compute workloads. The manufacturing process node affects power efficiency, thermal characteristics, and maximum clock speeds. Smaller process nodes pack more transistors into the same die area, enabling higher performance per watt. Understanding the architecture helps predict how the FirePro W4190M will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the AMD FirePro W4190M determine PSU requirements and thermal management needs. TDP (Thermal Design Power) indicates the heat output under typical loads, guiding cooler selection. Power connector requirements ensure adequate power delivery for stable operation during demanding GPU benchmarks. The suggested PSU wattage accounts for the entire system, not just the graphics card. Efficient power delivery enables the FirePro W4190M to maintain boost clocks without throttling.
FirePro W4190M by AMD Physical & Connectivity
Dimensions and outputs
Physical dimensions of the AMD FirePro W4190M are critical for case compatibility. Card length, height, and slot width determine whether it fits in your chassis. The PCIe interface version affects bandwidth for communication with the CPU. Display outputs define monitor connectivity options, with modern cards supporting multiple high-resolution displays simultaneously. Verify these specifications against your case and motherboard before purchasing to ensure a proper fit.
AMD API Support
Graphics and compute APIs
API support determines which games and applications can fully utilize the AMD FirePro W4190M. DirectX 12 Ultimate enables advanced features like ray tracing and variable rate shading. Vulkan provides cross-platform graphics capabilities with low-level hardware access. OpenGL remains important for professional applications and older games. CUDA (NVIDIA) and OpenCL enable GPU compute for video editing, 3D rendering, and scientific applications. Higher API versions unlock newer graphical features in GPU benchmarks and games.
FirePro W4190M Product Information
Release and pricing details
The AMD FirePro W4190M is manufactured by AMD as part of their graphics card lineup. Release date and launch pricing provide context for comparing GPU benchmark results with competing products from the same era. Understanding the product lifecycle helps evaluate whether the FirePro W4190M by AMD represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
About AMD FirePro W4190M
The AMD FirePro W4190M is an end-of-life mobile workstation GPU built on GCN 1.0. It uses the Opal chip, fabricated by TSMC on a 28 nm process, and packs 950 million transistors into a 77 mm² die, for a transistor density of 12.3M / mm². The part belongs to the FirePro Mobile (Wx100M) generation, with FirePro Mobility as its predecessor and Radeon Pro Mobile as its successor. The release date is 2015-11-11. The only recorded benchmark, Geekbench OpenCL, yields a score of 4413, placing the FirePro at the 24th percentile of all GPUs.
How It Compares
Against the NVIDIA GeForce GTX 1050, the W4190M posts 4413 in Geekbench OpenCL, while the GTX 1050 averages 4449. That is a delta of -0.8%, so the FirePro trails by less than a percentage point. The two parts are effectively in the same performance band.
The AMD Radeon R7 Graphics is even closer. Its average score is 4453, and the W4190M is -0.9% relative to it. This places the FirePro and the Radeon R7 part in the same performance band, with the FirePro holding a negligible deficit.
The AMD FirePro W2100 averages 4295, putting the W4190M 2.7% ahead. The margin is measurable but not large; both parts sit in the same entry-level professional tier.
The NVIDIA GeForce GTX 460M averages 4275. The W4190M leads by 3.2%, the largest delta in the nearest-rival set. Even so, the entire group spans only from 4275 to 4453, so the W4190M is neither dominant nor far behind any of its closest neighbors.
Ray Tracing and Feature Set
The database record lists no RT core count and no tensor core count for the W4190M; both fields are null. As a result, the hardware feature set is defined by the GCN 1.0 architecture and by the API support that the drivers expose. The supported APIs are DirectX 12 (11_1), OpenGL 4.6, and Vulkan 1.2.170. Those APIs provide access to modern rendering pipelines, but dedicated ray tracing hardware cannot be confirmed from the data.
The compute and graphics core consists of 384 shading units, 24 texture mapping units, and 8 ROPs, with a pixel rate of 7.200 GPixel/s and a texture rate of 21.60 GTexel/s. FP32 compute is listed at 691.2 GFLOPS. The interface is PCIe 3.0 x8, and display outputs are portable device dependent. The manufacturing data completes the picture: TSMC 28 nm process, 950 million transistors, 77 mm² die size, and 12.3M / mm² transistor density.
Benchmark Performance
The only benchmark present is Geekbench OpenCL, with a score of 4413. Because this is the only result in the benchmark list, the average benchmark score is the same 4413. The percentile position is 24, meaning the vast majority of GPUs in the database outperform it in OpenCL. That context matters when reading the nearest rival deltas.
The W4190M is 0.8% behind the GeForce GTX 1050, and 0.9% behind the Radeon R7 Graphics. It is 2.7% ahead of the FirePro W2100 and 3.2% ahead of the GeForce GTX 460M. Those deltas are small in absolute terms, and they place the W4190M in a tightly clustered region of the score distribution.
The underlying throughput rates are consistent with that placement: 691.2 GFLOPS FP32, 7.200 GPixel/s, and 21.60 GTexel/s. The base clock is 825 MHz and the boost clock is 900 MHz, while the memory clock is 1000 MHz. A negative delta in this table means the rival is faster; a positive delta means the W4190M is faster. Since the benchmark list contains only this workload, the score should be read as an OpenCL compute indicator rather than a complete performance profile.
FAQ
Q: What architecture is the AMD FirePro W4190M based on?
A: It is based on GCN 1.0, uses the Opal chip, and is built by TSMC on a 28 nm process. The die contains 950 million transistors over 77 mm², for 12.3M / mm².
Q: What is the OpenCL benchmark score?
A: The Geekbench OpenCL score is 4413. The average benchmark score is also 4413, and the GPU ranks at the 24th percentile of all GPUs.
Q: How far is it from the nearest NVIDIA rival?
A: It trails the NVIDIA GeForce GTX 1050 by 0.8%, with scores of 4413 and 4449, respectively. Against the GeForce GTX 460M, it is 3.2% ahead, with the GTX 460M averaging 4275.
Q: What memory does it have?
A: It has 2 GB of GDDR5 on a 128-bit bus. Memory bandwidth is 64.00 GB/s, and the memory clock is 1000 MHz with 4 Gbps effective.
Q: Does it support modern APIs?
A: The listed API support is DirectX 12 (11_1), OpenGL 4.6, and Vulkan 1.2.170.
Q: Does it have RT or tensor cores?
A: The fact pack lists neither RT core counts nor tensor core counts; both are null. Therefore, no dedicated ray tracing or tensor hardware is confirmed in the data.
Memory Subsystem
The W4190M ships with 2 GB of GDDR5 memory, a 128-bit interface, and 64.00 GB/s of bandwidth. The memory clock is 1000 MHz, described as 4 Gbps effective. In the context of the nearest rivals, this bandwidth figure is moderate, and it will influence how much data can be moved per frame.
High-resolution rendering places simultaneous demand on framebuffer capacity, texture storage, and bandwidth. With 2 GB, large texture sets and high-resolution depth buffers can exceed available memory quickly. At the same time, 64.00 GB/s is low enough that even within a 2 GB footprint, sustained frame-buffer traffic could be the limiting factor. The memory subsystem is therefore best suited to modest resolutions and workstation workloads with controlled memory footprints. The 128-bit bus width restricts peak transfer rate independently of the memory clock, so the effective data rate of 4 Gbps cannot compensate for the narrow path.
Power and Cooling
The record does not list a TDP for the W4190M, and the suggested PSU field is also empty. The form factor is an MXM Module, and the power connectors field is None. That means no external power connectors are part of the module's specification. In a portable chassis, the host system must supply power and cooling; the database does not provide a thermal envelope beyond the absence of a TDP field.
The bus interface is PCIe 3.0 x8, which is the physical connection through which the module communicates. Since display outputs are portable device dependent, the surrounding system also determines the actual output configuration. With no PSU recommendation, the power design is left to the portable-device vendor rather than to the end user.
Detailed benchmark scores and charts for the AMD FirePro W4190M are below.
Benchmark Scores
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how AMD FirePro W4190M handles parallel computing tasks like video encoding and scientific simulations. OpenCL is widely supported across different GPU vendors and platforms. Higher scores benefit applications that leverage GPU acceleration for non-graphics workloads.
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