Intel Graphics 24EU Mobile vs NVIDIA GeForce RTX 5080 SUPER Comparison
Intel Graphics 24EU Mobile
GeForce RTX 5080 SUPER
PERFORMANCE BENCHMARKS
Analysis: Intel Graphics 24EU Mobile vs NVIDIA GeForce RTX 5080 SUPER
Intel Graphics 24EU Mobile and NVIDIA GeForce RTX 5080 SUPER occupy opposite ends of the graphics hardware spectrum, yet both appear in the database with active production status. The data shows a 50th percentile ranking for the Intel part versus a 19th percentile ranking for the NVIDIA part, indicating that the RTX 5080 SUPER outperforms the vast majority of recorded GPUs while the Intel integrated solution sits near the median. This analysis walks through the recorded specifications and benchmark outcomes to clarify where each product stands.
FAQ
Q: What is the performance difference between the two GPUs based on available benchmarks?
A: The NVIDIA GeForce RTX 5080 SUPER has an average benchmark score of 3075 in the 3DMark Steel Nomad DX12 test, while the Intel Graphics 24EU Mobile has no recorded benchmark scores. The RTX 5080 SUPER sits 2.8% behind the NVIDIA Quadro P1000 (average score 3163) and 3.1% ahead of the NVIDIA GeForce 820A (average score 2983).
Q: How do the memory configurations compare?
A: The Intel Graphics 24EU Mobile uses system shared memory with a system dependent bandwidth and bus width. The NVIDIA GeForce RTX 5080 SUPER uses 24 GB of GDDR7 memory on a 256-bit bus with 1.02 TB/s bandwidth.
Q: What are the power requirements for each GPU?
A: The Intel Graphics 24EU Mobile has a TDP of 6 W and uses an integrated graphics processor (IGP) slot design. The NVIDIA GeForce RTX 5080 SUPER has a TDP of 415 W, uses a dual-slot design, and requires a single 16-pin power connector.
Q: Which GPU supports more advanced DirectX features?
A: The Intel Graphics 24EU Mobile supports DirectX 12 (12_1), while the NVIDIA GeForce RTX 5080 SUPER supports DirectX 12 Ultimate (12_2). Both support OpenGL 4.6 and Vulkan 1.4.
Q: What is the physical size of the NVIDIA GeForce RTX 5080 SUPER?
A: The RTX 5080 SUPER measures 304 mm in length, 137 mm in height, and 40 mm in width. The Intel Graphics 24EU Mobile has no recorded dimensions because it is an integrated GPU.
Q: What is the release timeline for these products?
A: The Intel Graphics 24EU Mobile has a release date of December 31, 2024, and the NVIDIA GeForce RTX 5080 SUPER has a release date of December 31, 2025. Both are listed as active in production.
Architecture Differences
The Intel Graphics 24EU Mobile uses the Twin Lake chip based on the Xe-LP architecture, belonging to the HD Graphics-T (Twin Lake) generation. It is fabricated on a 10 nm process at Intel's foundry. The transistor count and die size are listed as unknown, so architectural density cannot be assessed from the data.
The NVIDIA GeForce RTX 5080 SUPER uses the GB203 chip based on the Blackwell 2.0 architecture, belonging to the GeForce 50 generation. TSMC fabricates this chip on a 5 nm process. The die contains 45,600 million transistors across a 378 mm² area, yielding a transistor density of 120.6 million transistors per square millimeter.
Core counts diverge sharply. The Intel part has 192 shading units, 12 texture mapping units, and 4 raster operation units. It has no recorded ray tracing cores or tensor cores. The NVIDIA part has 10,752 shading units, 336 texture mapping units, 112 raster operation units, 84 ray tracing cores, and 336 tensor cores. This represents a 56x difference in shading units, a 28x difference in texture mapping units, and a 28x difference in raster operation units.
Clock behavior also differs. The Intel GPU runs at a base clock of 300 MHz with a boost clock of 1000 MHz. The NVIDIA GPU runs at a base clock of 2295 MHz with a boost clock of 2617 MHz. Memory clocks are recorded as system shared for the Intel part, while the NVIDIA part operates at 2000 MHz with 32 Gbps effective speed.
The bus interface separates the two as well. The Intel part uses a Ring Bus, reflecting its integrated nature, while the NVIDIA part uses PCIe 5.0 x16. Display outputs for the NVIDIA card include one HDMI 2.1b port and three DisplayPort 2.1b ports. The Intel GPU lists its display outputs as portable device dependent.
Where Each One Wins
The Intel Graphics 24EU Mobile wins in power efficiency and physical footprint. Its 6 W TDP is dramatically lower than the 415 W TDP of the RTX 5080 SUPER. As an integrated GPU with no slot width requirement beyond the IGP designation, it requires no additional power connectors and fits into portable device designs where discrete graphics are not possible. The system shared memory architecture means it can draw from whatever system RAM is available, making it a flexible solution for basic graphics tasks in mobile computing.
The NVIDIA GeForce RTX 5080 SUPER wins in every compute category recorded. Its 56.28 TFLOPS FP32 performance dwarfs the 384.0 GFLOPS of the Intel part. The NVIDIA GPU also delivers 56.28 TFLOPS FP16 performance, while the Intel GPU delivers 768.0 GFLOPS FP16 with a 2:1 ratio. The NVIDIA pixel rate of 293.1 GPixel/s and texture rate of 879.3 GTexel/s far exceed the Intel rates of 4.000 GPixel/s and 12.00 GTexel/s. The recorded 3DMark Steel Nomad DX12 score of 3075 confirms the NVIDIA GPU's superior rendering capability.
The RTX 5080 SUPER also wins in memory capacity and bandwidth. The 24 GB of GDDR7 memory on a 256-bit bus with 1.02 TB/s bandwidth stands in contrast to the Intel part's system shared memory with system dependent bandwidth. This makes the NVIDIA GPU suitable for large data sets, high-resolution textures, and memory-intensive workloads.
Specification Differences
The table below highlights the fields where the two GPUs differ in the database:
| Specification | Intel Graphics 24EU Mobile | NVIDIA GeForce RTX 5080 SUPER |
|---|---|---|
| Architecture | Xe-LP | Blackwell 2.0 |
| Chip | Twin Lake | GB203 |
| Process Node | 10 nm | 5 nm |
| Foundry | Intel | TSMC |
| Transistors | unknown | 45,600 million |
| Die Size | unknown | 378 mm² |
| Base Clock | 300 MHz | 2295 MHz |
| Boost Clock | 1000 MHz | 2617 MHz |
| Memory Size | System Shared | 24 GB |
| Memory Type | System Shared | GDDR7 |
| Memory Bus Width | System Shared | 256 bit |
| Memory Bandwidth | System Dependent | 1.02 TB/s |
| Shading Units | 192 | 10,752 |
| TMUs | 12 | 336 |
| ROPs | 4 | 112 |
| RT Cores | none recorded | 84 |
| Tensor Cores | none recorded | 336 |
| Pixel Rate | 4.000 GPixel/s | 293.1 GPixel/s |
| Texture Rate | 12.00 GTexel/s | 879.3 GTexel/s |
| FP32 Performance | 384.0 GFLOPS | 56.28 TFLOPS |
| FP16 Performance | 768.0 GFLOPS (2:1) | 56.28 TFLOPS (1:1) |
| TDP | 6 W | 415 W |
| Slot Width | IGP | Dual-slot |
| Power Connectors | none | 1x 16-pin |
| Bus Interface | Ring Bus | PCIe 5.0 x16 |
| Display Outputs | Portable Device Dependent | 1x HDMI 2.1b, 3x DisplayPort 2.1b |
| DirectX Support | 12 (12_1) | 12 Ultimate (12_2) |
| Dimensions | none recorded | 304 mm length, 137 mm height, 40 mm width |
| Release Date | 2024-12-31 | 2025-12-31 |
| Launch MSRP | none recorded | 999 USD |
Head-to-Head Benchmarks
The database contains no direct head-to-head benchmark results between these two GPUs. The Intel Graphics 24EU Mobile has no recorded benchmark scores, while the NVIDIA GeForce RTX 5080 SUPER has one entry in the 3DMark Steel Nomad DX12 test with a score of 3075. With zero wins recorded for the Intel part and zero wins recorded for the NVIDIA part in head-to-head comparisons, the performance relationship must be inferred from the individual specifications and the NVIDIA GPU's rival comparisons.
The RTX 5080 SUPER's nearest rivals in the database provide context for its benchmark standing. The NVIDIA Quadro P1000 averages 3163 points, which is 2.8% higher than the RTX 5080 SUPER's 3075. The Intel Arc Pro B60 averages 3182 points, 3.4% higher. On the lower side, the NVIDIA GeForce 820A averages 2983 points, 3.1% lower, and the NVIDIA GeForce GTX 860M averages 2967 points, 3.6% lower. This places the RTX 5080 SUPER within a tight cluster of scores ranging from 2967 to 3182, a span of about 7% between the lowest and highest neighboring results.
The compute throughput difference between the two GPUs is substantial. The RTX 5080 SUPER delivers 56.28 TFLOPS FP32, which is 146.6 times the 384.0 GFLOPS of the Intel part. Texture rate comparison shows the NVIDIA GPU at 879.3 GTexel/s versus 12.00 GTexel/s, a 73.3x advantage. Pixel rate stands at 293.1 GPixel/s versus 4.000 GPixel/s, a 73.3x advantage as well. These ratios align with the raster operation unit count difference of 112 versus 4, confirming the NVIDIA GPU's architectural scaling.
The Verdict
The data indicates two products designed for entirely different contexts. The Intel Graphics 24EU Mobile serves portable devices where power consumption of 6 W and integrated design are priorities. Its system shared memory, Ring Bus interface, and portable device dependent display outputs all point to a chip meant for basic display and light graphics workloads in laptops or compact systems. The 50th percentile ranking places it at the median of all recorded GPUs, fitting for an entry-level integrated solution.
The NVIDIA GeForce RTX 5080 SUPER targets high-performance desktop workloads. Its 415 W TDP, dual-slot design, 16-pin power connector, and PCIe 5.0 x16 interface require a full-sized system with appropriate power delivery. The 24 GB GDDR7 memory, 84 ray tracing cores, and 336 tensor cores enable advanced rendering features and compute tasks. The 19th percentile ranking among all GPUs indicates it outperforms the large majority of recorded hardware, and its 3DMark Steel Nomad score of 3075 places it among a competitive cluster of nearby results.
Users seeking an integrated solution with minimal power draw and no discrete card requirement would select the Intel Graphics 24EU Mobile. Users needing maximum compute throughput, dedicated memory, and advanced features such as ray tracing and tensor operations would select the NVIDIA GeForce RTX 5080 SUPER. The database records the NVIDIA part with a launch MSRP of 999 USD, and it measures 304 mm in length, 137 mm in height, and 40 mm in width. Neither product's data suggests overlap in intended use cases, and the specification gap across every measured parameter confirms their distinct market positions.