Intel Graphics 24EU Mobile vs NVIDIA GeForce RTX 5070 Ti SUPER Comparison
Intel Graphics 24EU Mobile
GeForce RTX 5070 Ti SUPER
PERFORMANCE BENCHMARKS
Analysis: Intel Graphics 24EU Mobile vs NVIDIA GeForce RTX 5070 Ti SUPER
FAQ
Q: What is the Intel Graphics 24EU Mobile?
A: The Intel Graphics 24EU Mobile is an integrated graphics processor (IGP) from Intel, built on the Twin Lake chip and using the Xe-LP architecture. It belongs to the HD Graphics-T (Twin Lake) generation and is manufactured on Intel's 10 nm process node.
Q: What is the NVIDIA GeForce RTX 5070 Ti SUPER?
A: The NVIDIA GeForce RTX 5070 Ti SUPER is a discrete graphics card from NVIDIA's GeForce 50-series, based on the GB203 chip and Blackwell 2.0 architecture. It is manufactured by TSMC on a 5 nm process node and uses 45,600 million transistors on a 378 mm² die.
Q: What is the memory configuration of each product?
A: The Intel Graphics 24EU Mobile uses system-shared memory with a system-dependent bandwidth, meaning its memory size, type, and bus width are all tied to the host system. The NVIDIA GeForce RTX 5070 Ti SUPER has 16 GB of GDDR7 memory on a 256-bit bus, delivering 896.0 GB/s of bandwidth.
Q: How do their compute capabilities differ?
A: The Intel Graphics 24EU Mobile has 192 shading units, 12 texture mapping units, and 4 ROPs, delivering 384.0 GFLOPS of FP32 performance. The NVIDIA GeForce RTX 5070 Ti SUPER has 8960 shading units, 280 TMUs, 96 ROPs, 70 RT cores, and 280 tensor cores, delivering 43.94 TFLOPS of FP32 performance.
Q: What display outputs does each GPU support?
A: The Intel Graphics 24EU Mobile's display outputs are described as "Portable Device Dependent," meaning they vary based on the portable device it is integrated into. The NVIDIA GeForce RTX 5070 Ti SUPER supports 1x HDMI 2.1b and 3x DisplayPort 2.1b connections.
Q: What is the recorded benchmark score for each?
A: The NVIDIA GeForce RTX 5070 Ti SUPER has a recorded 3DMark Steel Nomad DX12 score of 6269.5 and an average benchmark score of 6270. The Intel Graphics 24EU Mobile has no recorded benchmark scores in the database and an average benchmark score of 0.
The Verdict
The data presents a decisive split between two products serving entirely different segments. The Intel Graphics 24EU Mobile is an integrated solution with a 6 W TDP, designed for portable devices where power consumption is the primary constraint. Its performance ceiling is defined by 384.0 GFLOPS of FP32 compute, 12.00 GTexel/s texture rate, and 4.000 GPixel/s pixel rate, figures that place it in the entry-level integrated graphics category.
The NVIDIA GeForce RTX 5070 Ti SUPER is a discrete, dual-slot card with a 350 W TDP, 16 GB of GDDR7 memory, and a 256-bit memory bus delivering 896.0 GB/s of bandwidth. Its FP32 throughput of 43.94 TFLOPS is roughly 114 times higher than the Intel part's 384.0 GFLOPS, and its texture rate of 686.6 GTexel/s exceeds the Intel GPU by a factor of about 57. The RTX 5070 Ti SUPER also includes 70 RT cores and 280 tensor cores, features entirely absent from the Intel IGP.
Benchmark data confirms the NVIDIA card's standing. Its 3DMark Steel Nomad DX12 score of 6269.5 places it in the 36th percentile of all GPUs in the database. Its nearest rivals show a tight competitive cluster: the NVIDIA GeForce RTX 4070 Ti SUPER AD102 matches its average score of 6270 with a 0% delta, the AMD FirePro W600 scores 6223 (0.8% behind), the NVIDIA Quadro K620 scores 6282 (0.2% ahead), and the AMD Radeon R7 M350 scores 6327 (0.9% ahead). The Intel Graphics 24EU Mobile has no benchmark entries, no nearest rivals, and sits at the 50th percentile by default, which reflects the absence of measurable performance data rather than actual competitive positioning.
The practical choice depends entirely on the use case. For portable, fanless, or low-power systems where the 6 W TDP is a hard constraint, the Intel Graphics 24EU Mobile is the only viable option presented. For desktop gaming, content creation, or any workload requiring dedicated graphics memory and high throughput, the RTX 5070 Ti SUPER is the clear selection based on its massive compute advantage, dedicated 16 GB frame buffer, and PCIe 5.0 x16 interface.
Head-to-Head Benchmarks
The head-to-head benchmark table in the database contains no entries, and the win counters show 0 wins for both products. This means no direct comparative measurements exist between the Intel Graphics 24EU Mobile and the NVIDIA GeForce RTX 5070 Ti SUPER. However, the available data allows for a meaningful comparison through their respective specifications and the RTX 5070 Ti SUPER's recorded benchmark performance.
The largest measurable gap appears in raw compute throughput. The NVIDIA card delivers 43.94 TFLOPS of FP32 performance, while the Intel IGP manages 384.0 GFLOPS. This represents a factor of approximately 114. In FP16 workloads, the NVIDIA card maintains 43.94 TFLOPS with a 1:1 ratio, while the Intel GPU achieves 768.0 GFLOPS with a 2:1 ratio. The Intel part's FP16 figure is double its FP32 output, while the NVIDIA card shows no such advantage, indicating different arithmetic pipeline designs.
Texture throughput shows a similar disparity. The RTX 5070 Ti SUPER's 686.6 GTexel/s exceeds the Intel Graphics 24EU Mobile's 12.00 GTexel/s by roughly 57 times. Pixel throughput follows the same pattern: 235.4 GPixel/s versus 4.000 GPixel/s, a difference of about 59 times. These numbers indicate the NVIDIA card's ability to sustain far higher rendering workloads, particularly in resolution-heavy scenarios where pixel fill rate matters.
Memory bandwidth is another area of massive divergence. The RTX 5070 Ti SUPER has a fixed 896.0 GB/s of dedicated GDDR7 bandwidth across a 256-bit bus. The Intel IGP relies on system-shared memory with bandwidth that is "System Dependent," meaning its performance varies with the host system's memory configuration and cannot be directly compared to a fixed dedicated figure.
The RTX 5070 Ti SUPER's benchmark result of 6269.5 in 3DMark Steel Nomad DX12 places it in a tight competitive band. Its average score of 6270 matches the NVIDIA GeForce RTX 4070 Ti SUPER AD102 exactly, with a 0% delta. The AMD Radeon R7 M350 leads by 0.9% with a score of 6327, while the AMD FirePro W600 trails by 0.8% at 6223. The NVIDIA Quadro K620 sits 0.2% ahead at 6282. This clustering shows the RTX 5070 Ti SUPER performing within a narrow performance window of its immediate rivals, none of which are the Intel IGP.
The Intel Graphics 24EU Mobile has no benchmark scores, no average score, and no rival comparisons in the database. Its performance characteristics can only be inferred from its specification sheet: 192 shading units, 12 TMUs, 4 ROPs, a 300 MHz base clock, and a 1000 MHz boost clock. The absence of recorded data means no direct numerical comparison with the NVIDIA card is possible from the database.
Specification Differences
The two products differ across nearly every measurable specification. The Intel Graphics 24EU Mobile uses a 10 nm process node fabricated by Intel, while the NVIDIA GeForce RTX 5070 Ti SUPER uses a 5 nm node from TSMC. The NVIDIA card contains 45,600 million transistors on a 378 mm² die, with a transistor density of 120.6M per mm². The Intel part's transistor count and die size are listed as unknown in the database.
Clock speeds show a significant gap. The Intel GPU operates at a 300 MHz base clock and a 1000 MHz boost clock. The NVIDIA card runs at a 2295 MHz base clock and a 2452 MHz boost clock, more than double the Intel part's boost frequency. Memory clocks also differ: the Intel GPU uses system-shared memory with no fixed clock, while the NVIDIA card uses 1750 MHz memory rated at 28 Gbps effective.
Memory specifications are fundamentally different. The Intel Graphics 24EU Mobile shares system memory with an unspecified size, type, and bus width, and its bandwidth is system-dependent. The NVIDIA card has 16 GB of GDDR7 memory on a 256-bit bus with 896.0 GB/s of fixed bandwidth.
The compute units differ substantially. Intel's IGP has 192 shading units, 12 TMUs, and 4 ROPs, with no RT cores or tensor cores listed. The NVIDIA card has 8960 shading units, 280 TMUs, 96 ROPs, 70 RT cores, and 280 tensor cores. The shader count difference is roughly 47 times in NVIDIA's favor.
Power and physical specifications diverge sharply. The Intel GPU has a 6 W TDP and is an IGP with no slot width or power connectors. The NVIDIA card has a 350 W TDP, a dual-slot form factor, and requires a 1x 16-pin power connector. The NVIDIA card measures 304 mm in length, 137 mm in height, and 48 mm in width.
Interface and output capabilities also differ. The Intel GPU uses a Ring Bus interface and its display outputs are portable-device dependent. The NVIDIA card uses PCIe 5.0 x16 and supports 1x HDMI 2.1b plus 3x DisplayPort 2.1b. Both support DirectX 12 (12_1 for Intel, 12 Ultimate 12_2 for NVIDIA), OpenGL 4.6, and Vulkan 1.4.
Release dates show the Intel part launched in 2024, while the NVIDIA card's release date is listed as 2025. The NVIDIA card has a launch MSRP of 749 USD. The Intel IGP has no launch MSRP listed.
Architecture Differences
The architectural divide between these two GPUs is fundamental. The Intel Graphics 24EU Mobile uses the Xe-LP architecture, Intel's low-power graphics design aimed at integrated applications. It belongs to the HD Graphics-T (Twin Lake) generation and is built on the Twin Lake chip. The NVIDIA GeForce RTX 5070 Ti SUPER uses Blackwell 2.0 architecture, NVIDIA's high-end discrete GPU design, built on the GB203 chip as part of the GeForce 50 generation.
The process technology differs by foundry and node. Intel fabricates its IGP on a 10 nm process at its own fabs. TSMC fabricates the NVIDIA chip on a 5 nm process. This process advantage contributes to the NVIDIA card's higher transistor density of 120.6M per mm², though the Intel part's density is not recorded.
Compute feature sets are where the architectures diverge most clearly. The NVIDIA Blackwell 2.0 architecture includes dedicated ray tracing hardware in the form of 70 RT cores and AI acceleration through 280 tensor cores. The Intel Xe-LP architecture has no RT cores or tensor cores listed in the database, indicating no dedicated hardware for these workloads. This means the NVIDIA card can accelerate ray-traced rendering and AI inference tasks, while the Intel IGP must rely on its general-purpose shader units for any such work.
The FP16 processing ratio highlights an architectural difference. The Intel Xe-LP architecture delivers 768.0 GFLOPS of FP16 performance at a 2:1 ratio relative to its 384.0 GFLOPS FP32 output. The NVIDIA Blackwell architecture delivers 43.94 TFLOPS of FP16 at a 1:1 ratio with its FP32 throughput. This suggests the Intel architecture uses a packed math approach that halves throughput for FP32, while NVIDIA's design processes both formats at the same rate.
The memory architecture reflects the products' different roles. The Intel IGP uses a unified memory architecture where the GPU accesses system memory, with bandwidth dependent on the host platform. The NVIDIA card uses a dedicated 16 GB GDDR7 frame buffer with a 256-bit interface and fixed 896.0 GB/s bandwidth. This dedicated memory design is typical of discrete GPUs and allows the NVIDIA card to sustain high-bandwidth workloads without competing with the CPU for system memory access.
The DirectX support levels differ slightly. Intel supports DirectX 12 (12_1), while NVIDIA supports DirectX 12 Ultimate (12_2). Both support OpenGL 4.6 and Vulkan 1.4. The DirectX 12 Ultimate designation on the NVIDIA card indicates support for the full feature set of the DirectX 12 Ultimate specification, while the Intel part supports the earlier 12_1 feature level.
The power architecture also reflects the design philosophy difference. The Intel Xe-LP IGP operates within a 6 W TDP envelope, suitable for integration into portable devices with limited cooling and battery budgets. The NVIDIA Blackwell card requires 350 W and a dual-slot cooler with a 16-pin power connector, indicating a design focused on maximum throughput rather than efficiency. The physical dimensions of the NVIDIA card (304 mm length, 137 mm height, 48 mm width) further emphasize its discrete, high-performance positioning.