Intel HD Graphics P530 vs NVIDIA GeForce GTX 1050 Ti Comparison

Intel HD Graphics P530 and NVIDIA GeForce GTX 1050 Ti represent two fundamentally different approaches to graphics processing: a power-sipping integrated solution built into a Skylake processor versus a dedicated, dual-slot expansion card. Benchmark data shows the GTX 1050 Ti dominates in raw compute, yet the P530 holds a surprising edge in aggregate percentile ranking. The GTX 1050 Ti wins both head-to-head tests decisively, posting an OpenCL score of 18,129 against the P530’s 4,549 (a 74.9% gap) and a Vulkan score of 10,001 versus 4,571 (a 54.3% gap). However, the P530’s average benchmark score of 4,560 places it in the 26th percentile of all GPUs, while the GTX 1050 Ti’s average of 4,193 sits at the 25th percentile—a statistical near-tie that suggests the integrated part’s efficiency does not translate to real-world graphics superiority.

The Verdict

The data points to a clear split: the NVIDIA GeForce GTX 1050 Ti is the choice for any workload demanding raw graphics throughput, while the Intel HD Graphics P530 is only relevant for systems where a discrete card is physically impossible. In the two head-to-head benchmarks, the GTX 1050 Ti wins both—OpenCL by 74.9% and Vulkan by 54.3%—with absolute scores roughly 4x and 2.2x higher respectively. The GTX 1050 Ti’s FP32 performance of 2.138 TFLOPS dwarfs the P530’s 384.0 GFLOPS, and its pixel rate of 44.54 GPixel/s is nearly 15x the P530’s 3.000 GPixel/s. Texture rate tells a similar story: 66.82 GTexel/s versus 16.00 GTexel/s.

Yet the percentile data complicates the narrative. The GTX 1050 Ti’s average benchmark score of 4,193 places it at the 25th percentile, while the P530’s 4,560 average puts it at the 26th percentile. This means that despite losing every direct comparison, the P530 sits alongside similarly-scoring rivals like the AMD Radeon RX 560 (average 4,569, delta -0.2%) and AMD Radeon R5 M230 (average 4,577, delta -0.4%). The GTX 1050 Ti’s nearest rivals include the AMD Radeon R5 M330 (average 4,170, delta 0.6%) and NVIDIA Quadro K2100M (average 4,151, delta 1%). This suggests the GTX 1050 Ti’s high benchmark scores are offset by a broader performance distribution, likely due to its 75 W TDP limiting sustained boost clocks in some systems.

For a system builder, the verdict is simple: if the motherboard has a PCIe 3.0 x16 slot and the chassis can fit a 145 mm dual-slot card, the GTX 1050 Ti is the only rational choice for gaming or GPU-accelerated tasks. The P530, with its Ring Bus interface and system-shared memory, is a fallback for ultra-compact or low-power builds where a 15 W TDP is mandatory. The GTX 1050 Ti’s 4 GB of GDDR5 on a 128-bit bus (112.1 GB/s bandwidth) versus the P530’s system-dependent shared memory is a chasm that no driver optimization can bridge.

FAQ

Q: Which GPU has a higher average benchmark score?

A: The Intel HD Graphics P530 has a higher average benchmark score of 4,560, compared to the NVIDIA GeForce GTX 1050 Ti’s 4,193. This is despite the GTX 1050 Ti winning every head-to-head test.

Q: How much faster is the GTX 1050 Ti in OpenCL?

A: The GTX 1050 Ti scores 18,129 in Geekbench OpenCL, which is 74.9% higher than the P530’s 4,549. That represents a 3.98x raw score advantage.

Q: Does the P530 have any benchmark where it beats the GTX 1050 Ti?

A: No. In the two head-to-head benchmarks provided (Geekbench OpenCL and Vulkan), the GTX 1050 Ti wins both. The P530’s higher average score comes from a different mix of tests across its benchmark history.

Q: What are the memory configurations?

A: The GTX 1050 Ti has 4 GB of GDDR5 memory on a 128-bit bus with 112.1 GB/s bandwidth. The P530 uses system-shared memory with system-dependent bandwidth, meaning performance scales with the host RAM.

Q: Which GPU has a higher pixel rate?

A: The GTX 1050 Ti has a pixel rate of 44.54 GPixel/s, versus the P530’s 3.000 GPixel/s—a 14.8x difference. This directly impacts fill-rate-limited workloads like high-resolution rendering.

Q: Are both GPUs end-of-life?

A: Yes, both are marked as end-of-life in production status. The P530 was released on 2015-08-31, while the GTX 1050 Ti launched on 2016-10-24.

Architecture Differences

The architectural gap is generational. The Intel HD Graphics P530 is built on Generation 9.0 architecture (Skylake GT2 chip) using Intel’s 14 nm+ process, while the NVIDIA GeForce GTX 1050 Ti uses Pascal architecture (GP107 chip) on Samsung’s 14 nm process. The P530 integrates 192 shading units, 16 TMUs, and 3 ROPs—a configuration that favors compute efficiency over rasterization throughput. In contrast, the GTX 1050 Ti packs 768 shading units, 48 TMUs, and 32 ROPs, providing 4x the shader count and 16x the ROP count.

Transistor density tells a stark story: the GTX 1050 Ti contains 3,300 million transistors on a 132 mm² die (25.0M / mm²), while the P530’s die size is 123 mm² with no disclosed transistor count. The GTX 1050 Ti’s FP16 performance is 33.41 GFLOPS at a 1:64 ratio, indicating a compute-focused design that deprioritizes half-precision, while the P530 delivers 768.0 GFLOPS FP16 at a 2:1 ratio—a 23x advantage in FP16 capability despite being 5.6x slower in FP32. This suggests the P530’s architecture is tuned for workloads that use half-precision, while the GTX 1050 Ti optimizes for standard FP32 graphics.

Feature support is nearly identical on paper: both support DirectX 12 (12_1), OpenGL 4.6, and Vulkan. The GTX 1050 Ti adds Vulkan 1.4 support versus the P530’s Vulkan 1.3. The bus interfaces differ fundamentally—the P530 uses a Ring Bus (connecting to the CPU’s internal fabric), while the GTX 1050 Ti uses PCIe 3.0 x16. Display outputs also diverge: the P530’s outputs are motherboard-dependent, whereas the GTX 1050 Ti offers 1x DVI, 1x HDMI 2.0, and 1x DisplayPort 1.4a.

Specification Differences

The most consequential differences appear in clock speeds and memory. The GTX 1050 Ti runs at a 1291 MHz base clock with 1392 MHz boost, while the P530 idles at 350 MHz and boosts to 1000 MHz. Memory clocks are equally lopsided: the GTX 1050 Ti’s GDDR5 runs at 1752 MHz (7 Gbps effective), while the P530’s memory is system-shared with no dedicated clock. The GTX 1050 Ti’s 4 GB capacity and 128-bit bus width are fixed hardware, while the P530’s memory size and bus width are both labeled "System Shared"—meaning they fluctuate with the host system’s RAM configuration.

Power and physical specifications could not be more different. The P530 consumes 15 W TDP and is an IGP (integrated graphics processor) with no power connectors or slot width. The GTX 1050 Ti draws 75 W TDP, requires a dual-slot cooler, measures 145 mm (5.7 inches) in length and 111 mm (4.4 inches) in height, and has no power connectors but suggests a 250 W PSU. The P530’s texture rate is 16.00 GTexel/s versus the GTX 1050 Ti’s 66.82 GTexel/s, and FP32 is 384.0 GFLOPS versus 2.138 TFLOPS—a 5.6x difference. The P530’s die area is smaller (123 mm² vs 132 mm²), but the GTX 1050 Ti packs far more functionality into that space.

Head-to-Head Benchmarks

The Geekbench OpenCL test delivers the largest margin of victory. The GTX 1050 Ti scores 18,129 against the P530’s 4,549, a delta of 74.9% in NVIDIA’s favor. This result aligns with the FP32 and memory bandwidth disparities—2.138 TFLOPS and 112.1 GB/s versus 384.0 GFLOPS and system-dependent bandwidth. The OpenCL workload stresses raw compute throughput, where the GTX 1050 Ti’s 768 shading units overwhelm the P530’s 192.

The Geekbench Vulkan test narrows the gap but still favors NVIDIA decisively. The GTX 1050 Ti scores 10,001 versus the P530’s 4,571, a 54.3% advantage. Vulkan’s lower-level API overhead may mitigate some of the P530’s architectural inefficiencies, but the shader count and texture rate advantages remain insurmountable. The P530’s Vulkan score of 4,571 is nearly identical to its OpenCL score of 4,549, suggesting the integrated part has consistent performance across APIs. The GTX 1050 Ti’s Vulkan score is 45% lower than its OpenCL score, indicating that NVIDIA’s driver stack or architecture favors OpenCL for this card.

The normalized deltas tell a nuanced story. The P530’s -74.9% delta in OpenCL means it scores only 25.1% of the GTX 1050 Ti’s result, while the -54.3% Vulkan delta means it achieves 45.7% of NVIDIA’s score. This 20-point improvement in Vulkan suggests the P530’s Generation 9.0 architecture has better relative performance in modern low-level APIs, even if absolute scores remain far behind.

Where Each One Wins

The GTX 1050 Ti wins in every measurable graphics workload from the data. Its 44.54 GPixel/s pixel rate targets high-resolution rasterization, its 66.82 GTexel/s texture rate handles complex scene detail, and its 2.138 TFLOPS FP32 drives compute shaders. The 4 GB GDDR5 frame buffer with 112.1 GB/s bandwidth allows larger textures and higher resolutions without system memory contention. For gaming, GPU-accelerated video encoding, or CUDA-style compute tasks, the GTX 1050 Ti is the only viable option between these two.

The P530’s theoretical wins are confined to efficiency and niche compute. Its 15 W TDP is one-fifth of the GTX 1050 Ti’s 75 W, and its IGP form factor requires zero additional space or power delivery. The FP16 performance of 768.0 GFLOPS at a 2:1 ratio suggests it could handle machine learning inference or image processing tasks that use half-precision, but the GTX 1050 Ti’s FP16 at 33.41 GFLOPS (1:64) shows NVIDIA deliberately crippled this path. The P530’s higher average benchmark score (4,560 vs 4,193) and 26th percentile ranking versus 25th suggests it delivers more consistent performance across a variety of tests, whereas the GTX 1050 Ti’s scores are more volatile—possibly due to thermal or power limits in different system configurations.

The data implies a clear use-case split: the GTX 1050 Ti for any situation where a discrete card fits and power is available, and the P530 only for ultra-low-power embedded or compact systems where the 15 W TDP and Ring Bus integration are non-negotiable. The GTX 1050 Ti’s launch MSRP of 139 USD positions it as a baseline discrete option, while the P530 has no launch MSRP, reflecting its role as a bundled CPU component rather than a standalone product.