Intel Graphics 24EU Mobile vs NVIDIA RTX 1000 Mobile Ada Generation Comparison

The Verdict

The database comparison between the Intel Graphics 24EU Mobile and the NVIDIA RTX 1000 Mobile Ada Generation is a study in extremes. The Intel part is an integrated graphics processor built for low-power, basic display and light compute duties. The NVIDIA part is a dedicated mobile GPU engineered for professional-grade rendering, ray tracing, and high-throughput parallel compute. Based on the recorded specifications, the NVIDIA RTX 1000 Mobile Ada Generation is in a different performance class entirely, with the Intel Graphics 24EU Mobile serving a fundamentally different role in portable devices.

The Intel Graphics 24EU Mobile, built on the Twin Lake chip with Xe-LP architecture, offers 192 shading units, 12 texture mapping units, and 4 raster output pipelines. Its peak FP32 throughput is 384.0 GFLOPS, and it runs at a boost clock of 1000 MHz. This is a part designed for efficiency, with a TDP of just 6 W. The NVIDIA RTX 1000 Mobile Ada Generation, in contrast, uses the AD107 chip with Ada Lovelace architecture, packing 2,560 shading units, 80 TMUs, 48 ROPs, 20 ray tracing cores, and 80 tensor cores. Its FP32 output is 10.37 TFLOPS, which is roughly 27 times higher than the Intel part, and its boost clock reaches 2025 MHz.

The NVIDIA GPU is the clear choice for any workload involving 3D modeling, video editing, AI inference, or gaming. The Intel part is suitable for basic productivity, media playback, and light web tasks where power consumption is paramount. There is no benchmark data in the database for either part, so all conclusions are drawn from architectural and specification differences. The data indicates that the RTX 1000 Mobile Ada Generation is the dominant performer in nearly every measurable compute category, while the Intel Graphics 24EU Mobile wins solely on power draw and integration simplicity.

FAQ

Q: Which GPU has more shading units?

A: The NVIDIA RTX 1000 Mobile Ada Generation has 2,560 shading units, while the Intel Graphics 24EU Mobile has 192. That is a 13.3 times difference in raw shader count.

Q: How do the FP32 performance figures compare?

A: The NVIDIA part delivers 10.37 TFLOPS of FP32 performance, whereas the Intel part delivers 384.0 GFLOPS. The NVIDIA GPU is approximately 27 times faster in single-precision floating-point throughput.

Q: What are the memory configurations?

A: The Intel Graphics 24EU Mobile uses system-shared memory with no dedicated VRAM and a bus width that is system dependent. The NVIDIA RTX 1000 Mobile Ada Generation has 6 GB of GDDR6 memory on a 96-bit bus with 192.0 GB/s of bandwidth.

Q: Do both GPUs support ray tracing?

A: No. The NVIDIA RTX 1000 Mobile Ada Generation includes 20 dedicated ray tracing cores. The Intel Graphics 24EU Mobile has no ray tracing cores listed in the database.

Q: What is the power draw difference?

A: The Intel Graphics 24EU Mobile has a TDP of 6 W, while the NVIDIA RTX 1000 Mobile Ada Generation has a TDP of 35 W. The Intel part consumes about 83% less power.

Q: Which GPU supports DirectX 12 Ultimate?

A: Only the NVIDIA RTX 1000 Mobile Ada Generation supports DirectX 12 Ultimate (12_2). The Intel Graphics 24EU Mobile supports DirectX 12 (12_1), which is a lower feature level.

Architecture Differences

The two GPUs come from completely different design philosophies and process nodes. The Intel Graphics 24EU Mobile uses the Twin Lake chip built on a 10 nm process at Intel's foundry. It is based on the Xe-LP architecture, which is Intel's low-power graphics microarchitecture intended for integrated solutions. The NVIDIA RTX 1000 Mobile Ada Generation uses the AD107 chip fabricated on a 5 nm process by TSMC. It is based on Ada Lovelace, NVIDIA's high-performance architecture for mobile workstations.

The Intel part has 192 shading units, 12 TMUs, and 4 ROPs. It has no ray tracing cores and no tensor cores. Its FP16 performance is listed as 768.0 GFLOPS with a 2:1 ratio, meaning it can do half-precision at twice the rate of FP32. The NVIDIA part has 2,560 shading units, 80 TMUs, 48 ROPs, 20 RT cores, and 80 tensor cores. Its FP16 performance is 10.37 TFLOPS at a 1:1 ratio, so it does not gain a speedup for half-precision operations.

The transistor counts and die sizes are starkly different. The NVIDIA chip contains 18,900 million transistors on a 159 mm² die, yielding a transistor density of 118.9M per mm². The Intel part's transistor count and die size are listed as unknown in the database. The NVIDIA GPU also supports PCIe 4.0 x8 as its bus interface, while the Intel part uses a Ring Bus, which is typical for integrated graphics.

In terms of API support, the NVIDIA part supports DirectX 12 Ultimate (12_2), which includes features like mesh shaders and advanced ray tracing. The Intel part supports DirectX 12 (12_1), which lacks some of the newer features. Both support OpenGL 4.6 and Vulkan 1.4. The NVIDIA GPU has a predecessor in Ampere-MW and a successor in Blackwell-MW, while the Intel part has no listed predecessor or successor.

Specification Differences

The specification table shows several fields where the two parts diverge. The most significant differences are in raw compute resources and memory. The NVIDIA RTX 1000 Mobile Ada Generation has 2,560 shading units versus 192 for the Intel part, 80 TMUs versus 12, and 48 ROPs versus 4. The NVIDIA GPU has 20 RT cores and 80 tensor cores, while the Intel GPU has none of either.

Clock speeds differ substantially. The Intel part has a base clock of 300 MHz and a boost clock of 1000 MHz. The NVIDIA part has a base clock of 1485 MHz and a boost clock of 2025 MHz. The NVIDIA boost clock is more than double the Intel boost clock.

Memory is another major differentiator. The Intel part uses system-shared memory with a system-dependent bus width and bandwidth. The NVIDIA part has 6 GB of dedicated GDDR6 memory, a 96-bit bus, and 192.0 GB/s of bandwidth. The NVIDIA memory clock is listed as 2000 MHz with 16 Gbps effective.

Pixel and texture rates follow the same pattern. The Intel part achieves 4.000 GPixel/s and 12.00 GTexel/s. The NVIDIA part achieves 97.20 GPixel/s and 162.0 GTexel/s. The NVIDIA pixel rate is over 24 times higher, and the texture rate is 13.5 times higher.

The TDP values are 6 W for Intel and 35 W for NVIDIA. The bus interface differs, with Intel using Ring Bus and NVIDIA using PCIe 4.0 x8. The NVIDIA part has no power connectors, while the Intel part lists none. Both are IGP form factors, and both have display outputs that are portable device dependent.

Release dates differ by about ten months. The Intel part was released on 2024-12-31, while the NVIDIA part was released on 2024-02-25. Both are marked as Active in production status. The NVIDIA part is in the GeForce 10-series, while the Intel part has no series designation.

Head-to-Head Benchmarks

The database contains no head-to-head benchmark results for these two GPUs. There are no recorded scores, no win counts, and no nearest rival comparisons. This means the analysis must rely entirely on the specification data, which still provides a decisive picture.

The single largest numerical advantage for the NVIDIA part is in FP32 compute. The RTX 1000 Mobile Ada Generation delivers 10.37 TFLOPS, while the Intel Graphics 24EU Mobile delivers 384.0 GFLOPS. This translates to a 27.0 times advantage in raw single-precision throughput. For any compute-heavy application like scientific simulation, machine learning inference, or 3D rendering, the NVIDIA GPU would complete tasks in a fraction of the time.

In memory bandwidth, the NVIDIA part offers 192.0 GB/s versus a system-dependent figure for the Intel part. Dedicated GDDR6 memory with a 96-bit bus provides consistent, high-bandwidth access that integrated graphics cannot match when sharing system memory. Texture rate shows a 13.5 times gap, with NVIDIA at 162.0 GTexel/s versus Intel at 12.00 GTexel/s. Pixel rate shows a 24.3 times gap, with NVIDIA at 97.20 GPixel/s versus Intel at 4.000 GPixel/s.

The NVIDIA part also has dedicated ray tracing cores and tensor cores, which provide hardware acceleration for features the Intel part cannot perform at all. Even the memory clock differs, with NVIDIA running at 2000 MHz (16 Gbps effective) versus system-shared memory for Intel. The NVIDIA boost clock of 2025 MHz is 1025 MHz higher than the Intel boost clock.

The only category where the Intel part shows an advantage is power consumption. Its 6 W TDP is 29 W lower than the NVIDIA's 35 W. This is the sole specification where Intel leads, and it is a meaningful one for fanless or passively cooled ultra-portable devices.

Where Each One Wins

The Intel Graphics 24EU Mobile wins in power efficiency. Its 6 W TDP makes it suitable for compact, low-power devices where battery life and thermal management are more important than performance. The data suggests this GPU is intended for basic tasks: web browsing, office documents, video playback, and light 2D applications. Its system-shared memory and Ring Bus interface indicate a tightly integrated design with minimal overhead. The lack of RT and tensor cores means it is not designed for ray-traced graphics or AI workloads.

The NVIDIA RTX 1000 Mobile Ada Generation wins in every compute and graphics performance category. Its 27 times higher FP32 throughput, 20 RT cores, and 80 tensor cores make it suitable for professional mobile workstations. Tasks such as 3D modeling, video editing, CAD, and GPU-accelerated compute fall within its domain. The 6 GB of GDDR6 memory with 192.0 GB/s bandwidth supports large textures and datasets. The 48 ROPs and 162.0 GTexel/s texture rate allow high-resolution rendering with complex shading.

The use-case split is clear from the data. The Intel part is for devices where the GPU is a secondary component serving basic display output. The NVIDIA part is for devices where the GPU is a primary compute engine. The 35 W TDP of the NVIDIA part is still modest for a dedicated GPU, making it viable in thin-and-light professional laptops. The Intel part's 6 W TDP is more suited to tablets, low-cost notebooks, or embedded systems.

For anyone needing ray tracing, AI acceleration, or high-throughput compute, the RTX 1000 Mobile Ada Generation is the only option between these two. For anyone prioritizing maximum battery life and minimal heat in a device that only needs everyday productivity, the Intel Graphics 24EU Mobile is the appropriate choice. The performance gap is so large that no workload requiring the NVIDIA part's features could be handled acceptably by the Intel part, and no power-constrained scenario would justify the NVIDIA part's 35 W draw.