The AMD Ryzen 7 Pro 8840U is designed for both laptop and desktop use, built on a 4nm semiconductor process with 25,000 million transistors for a compact and efficient die. It carries a Thermal Design Power (TDP) of 28W and a maximum operating temperature of 100°C, making it suitable for thermally constrained environments. The chip supports 64-bit computing, includes integrated graphics, and is compatible with PCIe 4.0 for connecting modern expansion devices.
The processor runs 8 cores at a base speed of 3.3GHz per core, supporting 16 threads for handling concurrent workloads, with a turbo clock speed reaching 5.1GHz and a fixed clock multiplier of 33. The chip does not feature an unlocked multiplier or big.LITTLE heterogeneous core architecture. Cache is arranged across three levels: 512KB of L1, 8MB of L2 at 1MB per core, and 16MB of L3 at 2MB per core, providing a structured memory hierarchy to support sustained data throughput across cores.
In PassMark testing, the processor achieves a multi-core score of 23,829 and a single-core score of 3,671, reflecting its measured throughput across both parallel and sequential workloads.
The integrated Radeon 780M graphics runs at a base clock of 800MHz and can boost up to 2700MHz, with 12 execution units backed by 768 shading units, 48 texture mapping units, and 32 render output units. It supports up to 4 simultaneous displays and is compatible with DirectX 12, OpenGL 4.6, and OpenCL 2.1, covering a broad range of graphics and compute workloads handled directly by the processor.
The processor supports DDR5 memory at speeds up to 7500MHz across two channels, with a maximum addressable capacity of 256GB. It also includes support for ECC memory, allowing for error detection and correction in configurations where data reliability is a priority.
The processor includes multithreading support and an NX bit for hardware-level execution protection. It is compatible with a broad set of instruction sets including AVX, AVX2, AES, FMA3, F16C, MMX, SSE 4.1, and SSE 4.2, enabling support for vectorized math, hardware-accelerated encryption, and a range of optimized compute workloads.