AMD Instinct MI300X vs NVIDIA RTX 1000 Mobile Ada Generation Comparison

AMD
RADEON

AMD Instinct MI300X

CORE STATE Aqua Vanjaram
VRAM 192 GB
CLOCK SPEED 2100 MHz
TDP 750 W
BUS WIDTH 8192 bit
ARCHITECTURE CDNA 3.0
nm
PROCESS 5 nm
LAUNCH DATE 2023
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

PERFORMANCE BENCHMARKS

geekbench_opencl
317,994
N/A

Analysis: AMD Instinct MI300X vs NVIDIA RTX 1000 Mobile Ada Generation

Head-to-Head Benchmarks

The recorded database contains a single benchmark result for the AMD Instinct MI300X, a Geekbench OpenCL score of 317,994. The NVIDIA RTX 1000 Mobile Ada Generation has no recorded benchmark scores in the database, with an average benchmark score of zero. Consequently, a direct head-to-head comparison based on identical workloads is not possible from the available data.

What can be established is the Instinct MI300X's standing against other accelerators in the database. Its OpenCL score of 317,994 places it at the 100th percentile among all GPUs, meaning it outperforms every other recorded device in the database on this specific test. Relative to its nearest rivals, the Instinct MI300X is 7.5% ahead of the NVIDIA L40S (which averages 295,763) and 10.7% ahead of the NVIDIA RTX 6000 Ada Generation (which averages 287,237). Against higher-scoring competitors, the Instinct MI300X trails the NVIDIA B200 by 8% (B200 averages 345,482) and the NVIDIA H200 NVL by 5% (H200 NVL averages 334,891). The data indicates that while the Instinct MI300X does not hold the absolute top score among all accelerators, it sits comfortably above several prominent NVIDIA workstation and data center parts.

For the RTX 1000 Mobile Ada Generation, the absence of benchmark data means no percentile ranking can be derived beyond its 50th percentile placeholder, which reflects the lack of recorded scores rather than measured performance. The comparison between these two products is therefore defined by their architectural scope: one is a 750 W OAM module designed for dense compute arrays, the other is a 35 W integrated graphics processor for portable devices. Their performance envelopes are so far apart that a benchmark overlap would be unlikely in practice.

FAQ

Q: How does the AMD Instinct MI300X compare to its nearest rivals in the database?

A: The Instinct MI300X scores 317,994 in Geekbench OpenCL. It is 7.5% ahead of the NVIDIA L40S (295,763) and 10.7% ahead of the NVIDIA RTX 6000 Ada Generation (287,237). It trails the NVIDIA B200 by 8% (345,482) and the NVIDIA H200 NVL by 5% (334,891).

Q: Does the NVIDIA RTX 1000 Mobile Ada Generation have any recorded benchmark scores?

A: No. The database lists an average benchmark score of 0 and an empty benchmark array for this device. Its 50th percentile ranking is a placeholder reflecting missing data, not a measured result.

Q: What is the memory configuration difference between the two products?

A: The Instinct MI300X uses 192 GB of HBM3 on a 8192-bit bus with 5.32 TB/s bandwidth. The RTX 1000 Mobile Ada Generation uses 6 GB of GDDR6 on a 96-bit bus with 192.0 GB/s bandwidth.

Q: What are the compute unit counts for each GPU?

A: The Instinct MI300X has 19,456 shading units, 1,216 texture mapping units, and 0 ROPs. The RTX 1000 Mobile Ada Generation has 2,560 shading units, 80 texture mapping units, 48 ROPs, 20 ray tracing cores, and 80 tensor cores.

Q: What is the power consumption difference?

A: The Instinct MI300X has a TDP of 750 W and a suggested PSU of 1150 W. The RTX 1000 Mobile Ada Generation has a TDP of 35 W and no suggested PSU listed.

Q: Which product supports ray tracing and modern graphics APIs?

A: Only the RTX 1000 Mobile Ada Generation. It includes 20 ray tracing cores and supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The Instinct MI300X lists no ray tracing cores and reports N/A for DirectX, OpenGL, and Vulkan, reflecting its compute-focused design with no display outputs.

The Verdict

The data supports a clear distinction in intended roles. The AMD Instinct MI300X is a data center accelerator with 192 GB of HBM3 memory, 5.32 TB/s bandwidth, and a 750 W TDP. Its OpenCL score of 317,994 places it at the 100th percentile in the database, ahead of the L40S and RTX 6000 Ada Generation by 7.5% and 10.7%, respectively. This product is for workloads that require massive memory capacity and bandwidth, such as large model inference or training, where the absence of display outputs and graphics APIs is irrelevant.

The NVIDIA RTX 1000 Mobile Ada Generation is a 35 W integrated processor for laptops, with 6 GB of GDDR6, 2,560 shading units, 20 ray tracing cores, and 80 tensor cores. It supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, and its 48 ROPs deliver 97.20 GPixel/s pixel rate. With no benchmark scores recorded, its performance cannot be quantified from the database, but its feature set indicates a focus on portable graphics, ray tracing, and AI-accelerated workloads within a strict power envelope.

The choice between them is dictated by form factor and workload. A system requiring high-throughput compute with enormous memory capacity aligns with the Instinct MI300X. A portable device needing graphics output and modern API support aligns with the RTX 1000 Mobile Ada Generation. The two do not compete in the same segment.

Specification Differences

The two products differ across nearly every measurable specification. The Instinct MI300X uses an AMD chip (Aqua Vanjaram) on CDNA 3.0 architecture, fabricated on a 5 nm TSMC process with 153,000 million transistors on a 1017 mm² die. The RTX 1000 Mobile Ada Generation uses an NVIDIA AD107 chip on Ada Lovelace architecture, also 5 nm TSMC, but with 18,900 million transistors on a 159 mm² die.

Clock speeds differ: the Instinct MI300X runs at a base of 1000 MHz and boost of 2100 MHz, with memory at 1300 MHz (5.2 Gbps effective). The RTX 1000 Mobile Ada Generation runs at a base of 1485 MHz and boost of 2025 MHz, with memory at 2000 MHz (16 Gbps effective).

Memory configurations are radically different: 192 GB HBM3 on an 8192-bit bus with 5.32 TB/s bandwidth versus 6 GB GDDR6 on a 96-bit bus with 192.0 GB/s bandwidth. Compute units: 19,456 shading units, 1,216 TMUs, 0 ROPs versus 2,560 shading units, 80 TMUs, 48 ROPs. The RTX 1000 adds 20 ray tracing cores and 80 tensor cores; the Instinct MI300X lists none.

Pixel rate is 0 MPixel/s for the Instinct MI300X versus 97.20 GPixel/s for the RTX 1000. Texture rates are 2,553.6 GTexel/s versus 162.0 GTexel/s. FP32 performance is 81.72 TFLOPS versus 10.37 TFLOPS, with both listing FP16 at 1:1 ratio.

Power and physical specifications diverge: 750 W TDP with OAM module slot width and no power connectors versus 35 W TDP with IGP slot width and no power connectors. The Instinct MI300X suggests a 1150 W PSU; the RTX 1000 has none. Bus interfaces are PCIe 5.0 x16 versus PCIe 4.0 x8. Display outputs: none versus portable device dependent. The RTX 1000 supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4; the Instinct MI300X reports N/A for all three.

Release dates differ by roughly three months: the Instinct MI300X launched December 5, 2023, and the RTX 1000 Mobile Ada Generation launched February 25, 2024. The RTX 1000 has a production status of Active, while the Instinct MI300X has none listed.

Architecture Differences

The Instinct MI300X is built on CDNA 3.0, a compute-focused architecture from AMD designed for data center acceleration. Its transistor density is 150.4M per mm² across a 1017 mm² die, yielding 153,000 million transistors. It has no ROPs, no ray tracing cores, no tensor cores, and no display outputs, which indicates a pure compute pipeline. Its memory subsystem is HBM3 with 192 GB capacity and 5.32 TB/s bandwidth, suited for large datasets that must reside in high-speed memory. The architecture supports FP32 and FP16 at 81.72 TFLOPS each, with a 1:1 ratio, suggesting symmetric throughput for both precision levels. Its predecessor is listed as Radeon Instinct, and it sits in the Instinct (MIx) generation.

The RTX 1000 Mobile Ada Generation is based on Ada Lovelace, NVIDIA's graphics architecture for the mobile segment. Its transistor density is 118.9M per mm² on a 159 mm² die, with 18,900 million transistors. It includes 48 ROPs, 20 ray tracing cores, and 80 tensor cores, enabling hardware-accelerated ray tracing and AI inference. The 80 tensor cores provide dedicated matrix math throughput, while the 20 ray tracing cores handle BVH traversal and ray intersection. It supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, making it API-complete for gaming and professional graphics. Its memory is GDDR6 on a 96-bit bus, a configuration typical of entry-level mobile parts. The predecessor is Ampere-MW, and the successor is Blackwell-MW, placing it within the Ada-MW (x000A) generation.

The architectural divergence is stark: CDNA 3.0 omits graphics-specific hardware entirely, while Ada Lovelace integrates it fully. The Instinct MI300X uses its 19,456 shading units for general-purpose compute, and its 1,216 TMUs for texture-related operations, but the absence of ROPs means no raster output stage. The RTX 1000 Mobile Ada Generation balances compute with graphics: its 2,560 shading units handle vertex and pixel work, its 80 TMUs handle texture filtering, and its 48 ROPs handle pixel output. Both are fabricated on 5 nm TSMC, but the die size difference of 1017 mm² versus 159 mm² reflects the gulf in transistor budgets and intended workloads. The Instinct MI300X's 8192-bit memory bus is a data center feature, while the RTX 1000's 96-bit bus is a power-constrained mobile compromise. The Instinct MI300X has no display outputs; the RTX 1000's outputs are portable device dependent, meaning they vary by laptop implementation.

The process node is identical, but the transistor density differs, with the Instinct MI300X achieving 150.4M transistors per mm² versus 118.9M for the RTX 1000. This indicates a denser packing in the AMD part, consistent with a large HBM3 memory controller and compute array. The RTX 1000's lower density reflects a smaller, more power-efficient design. The FP16 ratios are both 1:1, but the absolute throughput differs by a factor of roughly 7.9 in favor of the Instinct MI300X. Neither product lists a launch MSRP in the database, so no price information is available.

DETAILED SPECIFICATIONS

SPECIFICATION
Instinct MI300X
RTX 1000 Mobile Ada Generation
Core Specs
Shading Units
19,456
2,560 -86.8%
Shaders
19,456
2,560 -86.8%
TMUs
1,216
80 -93.4%
ROPs
0
48 +∞%
Compute Units
304
SM Count
20
Clocks
Base Clock
1000 MHz
1485 MHz
Boost Clock
2100 MHz
2025 MHz
Memory Clock
1300 MHz 5.2 Gbps effective
2000 MHz 16 Gbps effective
Memory
Memory Size
192 GB
6 GB
VRAM (MB)
196,608
6,144 -96.9%
Memory Type
HBM3
GDDR6
Memory Bus
8192 bit
96 bit
Bandwidth
5.32 TB/s
192.0 GB/s
Cache
L1 Cache
16 KB (per CU)
128 KB (per SM)
L2 Cache
16 MB
12 MB
L3 Cache
256 MB
Performance
Pixel Rate
0 MPixel/s
97.20 GPixel/s
Texture Rate
2,553.6 GTexel/s
162.0 GTexel/s
FP32 (TFLOPS)
81.72 TFLOPS
10.37 TFLOPS
FP64 (TFLOPS)
40.86 TFLOPS (1:2)
162.0 GFLOPS (1:64)
FP16 (TFLOPS)
81.72 TFLOPS (1:1)
10.37 TFLOPS (1:1)
AI/RT
RT Cores
20
Tensor Cores
80
Matrix Cores
1,216
Power
TDP
750 W
35 W
TDP (W)
750
35 -95.3%
Suggested PSU
1150 W
Power Connectors
None
None
Architecture
Architecture
CDNA 3.0
Ada Lovelace
GPU Name
Aqua Vanjaram
AD107
Generation
Instinct (MIx)
Ada-MW (x000A)
Process Size
5 nm
5 nm
Transistors
153,000 million
18,900 million
Die Size
1017 mm²
159 mm²
Foundry
TSMC
TSMC
Density
150.4M / mm²
118.9M / mm²
AMD MCM
MCM
2
API Support
DirectX
12 Ultimate (12_2)
OpenGL
4.6
Vulkan
1.4
OpenCL
3.0
3.0
CUDA
8.9
Shader Model
6.9
Physical
Slot Width
OAM Module
IGP
Outputs
No outputs
Portable Device Dependent
Bus Interface
PCIe 5.0 x16
PCIe 4.0 x8
Other
Production
Active
Predecessor
Radeon Instinct
Ampere-MW
Successor
Blackwell-MW
View Instinct MI300X Details View RTX 1000 Mobile Ada Generation Details