Intel Iris Pro Graphics P6300

Intel Iris Pro Graphics P6300 is an integrated graphics processor built on Intel's 14 nm Broadwell GT3e design, belonging to the Generation 8.0 architecture. Launched in September 2014 and now end-of-life, this IGP relies entirely on system memory and motherboard-dependent outputs. Its sole recorded benchmark, Geekbench OpenCL, yields a score of 5712, placing it at the 32nd percentile among all GPUs — a mid-pack result for an integrated solution that trades blows with older discrete graphics cards.

Benchmark Performance

The Geekbench OpenCL score of 5712 positions the Iris Pro P6300 in a tightly contested performance band. The nearest rival, NVIDIA Quadro K4000, scores 5723, meaning the Intel part trails by just 0.2%. In raw computational terms, this is effectively a statistical tie; the 11-point gap between them is negligible in real-world workloads. The same holds against the GeForce GTX 550 Ti, which posts 5731 — a 0.3% advantage for NVIDIA. These deltas are within run-to-run variance, so benchmark results indicate the P6300 delivers compute performance equivalent to those older discrete offerings.

Against the GeForce GTX 670MX, the delta widens slightly to 0.5%, with NVIDIA's mobile part scoring 5742. Still, this remains a sub-1% difference, reinforcing that the Iris Pro P6300 punches well above its integrated-class expectations. Interestingly, the only rival it beats outright is the Quadro M500M, which scores 5665. The Intel GPU leads by 0.8%, or 47 points — a modest but consistent margin. Across all four comparisons, the P6300 sits within a 0.8% performance envelope, making it one of the most tightly clustered competitive sets in this database segment.

The underlying specs explain this competitive showing. With 384 shading units, 48 texture mapping units, and 6 ROPs, the P6300 achieves a pixel rate of 4.800 GPixel/s and a texture rate of 38.40 GTexel/s. Its FP32 throughput of 614.4 GFLOPS provides the mathematical muscle for OpenCL workloads. The 300 MHz base clock and 800 MHz boost clock are modest, but the architecture extracts solid efficiency from them. The 32nd percentile ranking means roughly two-thirds of all GPUs outperform it, yet for an integrated part, this is a respectable standing — it outpaces many entry-level discrete cards from its era.

Ray Tracing and Feature Set

The Iris Pro P6300 does not include dedicated ray tracing cores or tensor cores, as these are absent from the FACT PACK specifications. Its feature set instead relies on the Generation 8.0 architecture's general-purpose compute capabilities. API support includes DirectX 12 (11_1), OpenGL 4.4, and Vulkan 1.0, covering the essential graphics interfaces of its generation. The DirectX 12 (11_1) designation indicates feature level 11_1 support, which was the practical ceiling for integrated graphics at its release. Vulkan 1.0 support provides access to modern low-overhead rendering, though without hardware-accelerated ray tracing, any such workloads fall back to compute shaders. The absence of tensor cores also means no dedicated AI acceleration; machine learning tasks rely on the 384 shading units. For a 2014 integrated GPU, this is a standard feature set — no hardware RT, no AI accelerators, but broad API compatibility for its time.

Memory Subsystem

Memory is the P6300's most significant bottleneck. The GPU uses system-shared memory, with no dedicated VRAM allocation. Its bus width is likewise system-shared, and bandwidth is listed as system dependent — meaning performance scales directly with the host system's RAM configuration. This design contrasts sharply with discrete rivals like the Quadro K4000 or GeForce GTX 550 Ti, which have dedicated memory buses. The practical consequence is that high-resolution gaming or large texture loads will contend with CPU memory traffic. In dual-channel DDR3 configurations typical of Broadwell-era laptops, available bandwidth might reach acceptable levels for 1080p gaming at low settings, but 1440p or 4K workloads would strain the shared memory controller. The 6 ROPs further limit fill-rate-bound scenarios, making the P6300 best suited to modest resolutions. The system-dependent nature of bandwidth means two systems with the same GPU could see materially different performance based on RAM speed and channel count — a critical caveat for interpreting its benchmark score.

FAQ

Q: How does the Intel Iris Pro P6300 compare to the NVIDIA Quadro K4000?

A: The P6300 scores 5712 in Geekbench OpenCL, just 0.2% behind the Quadro K4000's 5723. This places them statistically tied in compute performance, despite the Intel part being an integrated GPU and the Quadro being a discrete workstation card.

Q: Does the P6300 support ray tracing?

A: No. The FACT PACK lists no ray tracing cores or tensor cores. Its feature set is limited to the Generation 8.0 architecture's compute capabilities, with DirectX 12 (11_1), OpenGL 4.4, and Vulkan 1.0 API support.

Q: What is the memory configuration of this GPU?

A: The P6300 uses system-shared memory for both its memory size and bus width. Bandwidth is system dependent, meaning it varies with the host system's RAM configuration rather than being fixed by the GPU.

Q: What is the FP32 performance of the Iris Pro P6300?

A: The GPU delivers 614.4 GFLOPS of FP32 compute, derived from 384 shading units clocked at a base of 300 MHz and boost of 800 MHz. This translates to a texture rate of 38.40 GTexel/s and pixel rate of 4.800 GPixel/s.

Q: Is the P6300 still in production?

A: No. Its production status is end-of-life, with a release date of September 4, 2014. It belongs to the HD Graphics-W (Broadwell) generation and is built on Intel's 14 nm process.

Q: Which rival GPU does the P6300 outperform?

A: It beats the NVIDIA Quadro M500M by 0.8%, scoring 5712 versus 5665. Against the GeForce GTX 550 Ti and GTX 670MX, it trails by 0.3% and 0.5%, respectively.

How It Compares

vs. NVIDIA Quadro K4000: The P6300 is 0.2% slower in Geekbench OpenCL, a margin so small it is effectively a tie. The Quadro K4000's workstation pedigree may offer better driver optimizations for professional apps, but raw compute performance is indistinguishable. The Intel part achieves this parity while consuming far less power — its 15 W TDP is a fraction of what a discrete Quadro requires.

vs. NVIDIA GeForce GTX 550 Ti: The GTX 550 Ti leads by 0.3%, scoring 5731 versus 5712. This is another negligible delta. The 550 Ti was a desktop gaming card with dedicated memory, yet the integrated P6300 matches its compute output. The shared-memory architecture of the Intel part would likely hurt in gaming scenarios, but for OpenCL compute, the results speak for themselves.

vs. NVIDIA GeForce GTX 670MX: The gap widens to 0.5%, with the 670MX scoring 5742. Still under 1%, this remains a virtual dead heat. The 670MX was a high-end mobile GPU in its day, making the P6300's performance here particularly notable — an integrated solution matching a premium discrete mobile part from the same era.

vs. NVIDIA Quadro M500M: The P6300 actually wins here, leading by 0.8% (5712 versus 5665). This is the only rival it clearly beats. The M500M is a lower-tier workstation GPU, and the Intel integrated part edges it out in OpenCL compute. The 47-point margin is consistent across the benchmark, suggesting a genuine, if small, performance advantage.