Intel Arc Graphics 4 Xe Mobile vs NVIDIA RTX 1000 Mobile Ada Generation Comparison

Intel
GPU

Intel Arc Graphics 4 Xe Mobile

CORE STATE Panther Lake
VRAM System Shared
CLOCK SPEED 2300 MHz
TDP 25 W
BUS WIDTH System Shared
ARCHITECTURE Xe3-LPG
nm
PROCESS 3 nm
LAUNCH DATE 2026
VS
NVIDIA
GEFORCE

RTX 1000 Mobile Ada Generation

CORE STATE AD107
VRAM 6 GB
CLOCK SPEED 2025 MHz
TDP 35 W
BUS WIDTH 96 bit
ARCHITECTURE Ada Lovelace
nm
PROCESS 5 nm
LAUNCH DATE 2024

Analysis: Intel Arc Graphics 4 Xe Mobile vs NVIDIA RTX 1000 Mobile Ada Generation

Head-to-Head Benchmarks

The database contains no recorded head-to-head benchmark results for the Intel Arc Graphics 4 Xe Mobile against the NVIDIA RTX 1000 Mobile Ada Generation. Both entries show an empty benchmark array, an average benchmark score of zero, and no nearest rivals listed. Consequently, there are no exact performance deltas, no percentile shifts, and no win counts to report from direct comparisons. The winsA and winsB fields both read zero, confirming that no measurement has been captured for this pairing.

What can be established from the recorded data is the theoretical compute envelope of each part. The Intel solution delivers 2.355 TFLOPS of FP32 performance, while the NVIDIA part delivers 10.37 TFLOPS. That places the NVIDIA adapter at roughly 4.4 times the raw shader throughput of the Intel part. In FP16 workloads, the gap narrows slightly in ratio but not in magnitude: Intel reaches 4.710 TFLOPS using a 2:1 ratio, while NVIDIA sustains 10.37 TFLOPS at a 1:1 ratio, meaning NVIDIA does not rely on packed math to match its FP32 figure.

Texture and pixel throughput follow the same pattern. Intel records 73.60 GTexel/s and 36.80 GPixel/s. NVIDIA records 162.0 GTexel/s and 97.20 GPixel/s. The NVIDIA part is approximately 2.2 times faster in texture fill and 2.6 times faster in pixel fill. These figures stem directly from the shading unit counts: 512 for Intel versus 2560 for NVIDIA, with 32 texture mapping units against 80, and 16 raster output units against 48.

Clock behavior also differs. Intel operates at a 300 MHz base and boosts to 2300 MHz. NVIDIA operates at a 1485 MHz base and boosts to 2025 MHz. The Intel part has a higher absolute boost clock by 275 MHz, but the NVIDIA part starts from a much higher base and carries far more execution resources. The memory subsystem is another separator. Intel uses system-shared memory with system-dependent bandwidth. NVIDIA uses 6 GB of GDDR6 on a 96-bit bus with 192.0 GB/s of dedicated bandwidth. For memory-bound tasks, the NVIDIA implementation avoids the contention and latency variability of shared system memory.

FAQ

Q: Which GPU has more shading units?

A: The NVIDIA RTX 1000 Mobile Ada Generation has 2560 shading units, which is five times the 512 shading units found on the Intel Arc Graphics 4 Xe Mobile.

Q: What is the FP32 performance difference between the two?

A: The NVIDIA part delivers 10.37 TFLOPS of FP32 compute, while the Intel part delivers 2.355 TFLOPS, making NVIDIA approximately 4.4 times higher in raw single-precision throughput.

Q: How does memory configuration differ?

A: Intel relies entirely on system-shared memory with no dedicated VRAM, while NVIDIA uses 6 GB of GDDR6 across a 96-bit interface, yielding 192.0 GB/s of bandwidth. Intel's bandwidth is listed as system dependent.

Q: Do both support the same graphics APIs?

A: Yes. Both GPUs support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Q: What is the thermal design power for each?

A: The Intel Arc Graphics 4 Xe Mobile is rated at 25 W, while the NVIDIA RTX 1000 Mobile Ada Generation is rated at 35 W.

Q: What are the boost clocks?

A: Intel boosts to 2300 MHz, which is 275 MHz higher than NVIDIA's 2025 MHz boost clock.

Q: What is the process node and foundry for each?

A: Intel uses a 3 nm process at its own foundry, while NVIDIA uses a 5 nm process at TSMC.

Architecture Differences

The Intel Arc Graphics 4 Xe Mobile is built on the Xe3-LPG architecture and belongs to the Arc Graphics-M (Panther Lake) generation. It uses the Panther Lake chip. The NVIDIA RTX 1000 Mobile Ada Generation is built on the Ada Lovelace architecture and uses the AD107 chip, belonging to the Ada-MW (x000A) generation. The two designs come from different foundries and process nodes: Intel fabricates its chip on 3 nm at Intel, while NVIDIA uses TSMC's 5 nm process.

Ray tracing hardware differs substantially. Intel includes 4 ray tracing cores, while NVIDIA includes 20 ray tracing cores. Tensor compute also separates the two: NVIDIA integrates 80 tensor cores, whereas the Intel part lists no tensor core count in the database. This indicates the NVIDIA architecture carries dedicated hardware for AI-accelerated workloads, while the Intel part does not expose an equivalent unit in the recorded specifications.

The transistor budget and die size are only recorded for the NVIDIA side. The AD107 contains 18,900 million transistors on a 159 mm² die, yielding a transistor density of 118.9 million transistors per square millimeter. Intel's transistor count and die size are listed as unknown, so no direct density comparison can be made.

The NVIDIA part uses a PCIe 4.0 x8 bus interface, while the Intel part uses an integrated graphics processor connection. The Intel part has no power connectors and is classified as an IGP, as is the NVIDIA part. Both are marked as portable device dependent for display outputs, meaning the actual display connectivity depends on the laptop implementation.

Specification Differences

The two GPUs differ across nearly every measured specification. The Intel part has 512 shading units, 32 texture mapping units, 16 raster output units, and 4 ray tracing cores. The NVIDIA part has 2560 shading units, 80 texture mapping units, 48 raster output units, and 20 ray tracing cores, plus 80 tensor cores that Intel lacks.

Clocks diverge in both directions. Intel runs at 300 MHz base and 2300 MHz boost. NVIDIA runs at 1485 MHz base and 2025 MHz boost. Intel's boost clock is higher by 275 MHz, but NVIDIA's base clock is 1185 MHz higher than Intel's base.

Memory is a fundamental separator. Intel uses system-shared memory with a system-dependent bandwidth figure. NVIDIA uses 6 GB of GDDR6 with a 96-bit bus and 192.0 GB/s of bandwidth. The memory clock is listed as 2000 MHz with 16 Gbps effective for NVIDIA, while Intel's memory clock is also system shared.

Power ratings differ by 10 W. Intel is rated at 25 W, NVIDIA at 35 W. Both are slotless IGPs with no power connectors. The bus interface differs: Intel is an IGP, NVIDIA is PCIe 4.0 x8.

The process node differs as noted: 3 nm Intel versus 5 nm TSMC. The manufacturing foundry differs accordingly. The NVIDIA chip has a known transistor count of 18,900 million and a die size of 159 mm², while Intel's figures are unknown.

Release dates also differ. Intel's part launched on January 26, 2026, while NVIDIA's part launched on February 25, 2024, nearly two years earlier. NVIDIA's predecessor and successor are recorded as Ampere-MW and Blackwell-MW, respectively. Intel lists no predecessor or successor.

The Verdict

The recorded data points to a clear performance hierarchy. NVIDIA's RTX 1000 Mobile Ada Generation holds a commanding lead in every compute metric captured in the database: 4.4 times the FP32 throughput, 2.2 times the texture fill rate, 2.6 times the pixel fill rate, and five times the shading units. It also offers dedicated 6 GB GDDR6 memory with 192.0 GB/s bandwidth, whereas Intel relies on system-shared memory with system-dependent performance. For workloads that stress raw compute, memory bandwidth, ray tracing, or tensor operations, the NVIDIA part is the only one of the two with hardware provisions for all of those categories.

The Intel Arc Graphics 4 Xe Mobile counters with a higher boost clock, a smaller process node at 3 nm, and a lower thermal envelope of 25 W versus 35 W. Its 2300 MHz boost exceeds NVIDIA's 2025 MHz boost, and its 512 shading units operate at a higher peak frequency per unit. However, the sheer difference in execution resources outweighs the clock advantage. The Intel part also lacks tensor cores entirely, while NVIDIA includes 80 of them.

Neither part has recorded benchmark scores or nearest rivals in the database, so the verdict rests on specification analysis rather than measured results. The data shows that the NVIDIA RTX 1000 Mobile Ada Generation is the stronger part for demanding graphics and compute tasks. The Intel Arc Graphics 4 Xe Mobile is the more conservative choice for power-constrained integrated designs, offering a 3 nm process and a 10 W lower TDP.

Where Each One Wins

The NVIDIA RTX 1000 Mobile Ada Generation wins in scenarios that demand high shader throughput, high texture fill, high pixel fill, or dedicated memory. Its 10.37 TFLOPS FP32 figure and 10.37 TFLOPS FP16 figure (at 1:1 ratio) make it suitable for FP16 workloads without relying on packed math. Its 192.0 GB/s dedicated bandwidth and 6 GB GDDR6 capacity remove reliance on system memory. Its 20 ray tracing cores and 80 tensor cores provide hardware acceleration for ray-traced rendering and AI inference, neither of which the Intel part can match in hardware. Its 97.20 GPixel/s and 162.0 GTexel/s rates indicate strong rasterization throughput for high-resolution displays.

The Intel Arc Graphics 4 Xe Mobile wins in areas tied to its physical design. Its 3 nm process node is smaller than NVIDIA's 5 nm node, which typically indicates lower switching losses per transistor. Its 25 W TDP is 10 W lower than NVIDIA's 35 W rating, making it the lower-power option for thermally constrained chassis. Its 2300 MHz boost clock is the highest frequency listed between the two parts, which can benefit lightly threaded or latency-sensitive tasks where clock speed matters more than core count. Its system-shared memory model means there is no fixed VRAM allocation, allowing the operating system to balance memory between CPU and GPU as needed, though the database lists bandwidth as system dependent.

For users who prioritize power efficiency and integration simplicity, the Intel part offers the lower TDP and a shared memory pool. For users who prioritize compute capability, memory bandwidth, ray tracing, and tensor performance, the NVIDIA part offers a substantial advantage in every measured category. The database contains no benchmark results to suggest any workload where the Intel part overtakes the NVIDIA part in raw performance.

DETAILED SPECIFICATIONS

SPECIFICATION
Graphics 4 Xe Mobile
RTX 1000 Mobile Ada Generation
Core Specs
Shading Units
512
2,560 +400.0%
Shaders
512
2,560 +400.0%
TMUs
32
80 +150.0%
ROPs
16
48 +200.0%
SM Count
—
20
Execution Units
8
—
Clocks
Base Clock
300 MHz
1485 MHz
Boost Clock
2300 MHz
2025 MHz
Memory Clock
System Shared
2000 MHz 16 Gbps effective
Memory
Memory Size
System Shared
6 GB
VRAM (MB)
—
6,144
Memory Type
System Shared
GDDR6
Memory Bus
System Shared
96 bit
Bandwidth
System Dependent
192.0 GB/s
Cache
L1 Cache
64 KB (per EU)
128 KB (per SM)
L2 Cache
16 MB
12 MB
Performance
Pixel Rate
36.80 GPixel/s
97.20 GPixel/s
Texture Rate
73.60 GTexel/s
162.0 GTexel/s
FP32 (TFLOPS)
2.355 TFLOPS
10.37 TFLOPS
FP64 (TFLOPS)
294.4 GFLOPS (1:8)
162.0 GFLOPS (1:64)
FP16 (TFLOPS)
4.710 TFLOPS (2:1)
10.37 TFLOPS (1:1)
AI/RT
RT Cores
4
20 +400.0%
Tensor Cores
—
80
XMX Cores
32
—
Power
TDP
25 W
35 W
TDP (W)
25
35 +40.0%
Power Connectors
None
None
Architecture
Architecture
Xe3-LPG
Ada Lovelace
GPU Name
Panther Lake
AD107
Generation
Arc Graphics-M (Panther Lake)
Ada-MW (x000A)
Process Size
3 nm
5 nm
Transistors
unknown
18,900 million
Die Size
unknown
159 mm²
Foundry
Intel
TSMC
Density
—
118.9M / mm²
API Support
DirectX
12 Ultimate (12_2)
12 Ultimate (12_2)
OpenGL
4.6
4.6
Vulkan
1.4
1.4
OpenCL
3.0
3.0
CUDA
—
8.9
Shader Model
6.9
6.9
Physical
Slot Width
IGP
IGP
Outputs
Portable Device Dependent
Portable Device Dependent
Bus Interface
IGP
PCIe 4.0 x8
Other
Production
Active
Active
Predecessor
—
Ampere-MW
Successor
—
Blackwell-MW
View Arc Graphics 4 Xe Mobile Details View RTX 1000 Mobile Ada Generation Details