NVIDIA GeForce RTX 4070 AD103 vs NVIDIA RTX 5000 Embedded Ada Generation X2 Comparison
NVIDIA GeForce RTX 4070 AD103
RTX 5000 Embedded Ada Generation X2
Analysis: NVIDIA GeForce RTX 4070 AD103 vs NVIDIA RTX 5000 Embedded Ada Generation X2
Head-to-Head Benchmarks
The recorded data for the NVIDIA GeForce RTX 4070 AD103 and the NVIDIA RTX 5000 Embedded Ada Generation X2 shows no direct head-to-head benchmark results, win counts, or percentage deltas. Both entries carry an average benchmark score of zero and a percentile ranking of 50 against all GPUs in the database. This means the comparison must rely entirely on the architectural and specification differences recorded for each part, rather than measured performance deltas.
The RTX 5000 Embedded Ada Generation X2 holds the advantage in raw compute throughput on paper. Its FP32 rating is 32.69 TFLOPS, which is 12.1% higher than the 29.15 TFLOPS of the RTX 4070 AD103. The same margin applies to FP16, where both parts use a 1:1 ratio, so the embedded Ada card also delivers 32.69 TFLOPS versus 29.15 TFLOPS for the desktop card. In texture processing, the RTX 5000 Embedded achieves 510.7 GTexel/s, whereas the RTX 4070 AD103 reaches 455.4 GTexel/s, a difference of roughly 12%. Pixel throughput favors the embedded part as well: 188.2 GPixel/s versus 158.4 GPixel/s, a gap of about 19%.
The RTX 4070 AD103 counters in clock speed. Its base clock of 1920 MHz is more than double the 930 MHz base of the RTX 5000 Embedded, and its boost clock of 2475 MHz is 47% above the embedded card's 1680 MHz boost. However, the embedded card compensates with a substantially larger execution resource pool. It carries 9728 shading units, 304 texture mapping units, and 112 render output units, compared to 5888 shading units, 184 TMUs, and 64 ROPs on the RTX 4070 AD103. The embedded part also fields 76 ray tracing cores and 304 tensor cores, while the desktop card uses 46 RT cores and 184 tensor cores.
Memory bandwidth is another area where the RTX 5000 Embedded Ada Generation X2 pulls ahead. It uses a 256-bit bus with 16 GB of GDDR6 memory, yielding 576.0 GB/s of bandwidth. The RTX 4070 AD103 uses a 192-bit bus with 12 GB of GDDR6X memory, producing 504.2 GB/s. The embedded card therefore has 14.2% more memory bandwidth, despite using slower GDDR6 memory rated at 18 Gbps effective versus 21 Gbps effective on the desktop part.
Architecture Differences
Both GPUs are built on the Ada Lovelace architecture, use the AD103 chip, and are fabricated on a 5 nm process at TSMC. They share identical transistor counts of 45,900 million and the same die size of 379 mm², giving both a transistor density of 121.1M per mm². The API support is also identical: DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.
The differences begin with the memory subsystem. The RTX 4070 AD103 uses 12 GB of GDDR6X on a 192-bit interface with a 1313 MHz memory clock (21 Gbps effective). The RTX 5000 Embedded Ada Generation X2 uses 16 GB of GDDR6 on a wider 256-bit interface with a 2250 MHz memory clock (18 Gbps effective). The wider bus on the embedded card gives it the bandwidth advantage despite the lower effective data rate per pin.
Compute resources diverge significantly. The embedded Ada card packs 9728 shading units, 304 TMUs, 112 ROPs, 76 RT cores, and 304 tensor cores. The desktop card uses 5888 shading units, 184 TMUs, 64 ROPs, 46 RT cores, and 184 tensor cores. This means the RTX 5000 Embedded has 65% more shading units, 65% more TMUs, 75% more ROPs, 65% more RT cores, and 65% more tensor cores than the RTX 4070 AD103.
Clock behavior is the inverse. The RTX 4070 AD103 runs at a 1920 MHz base and 2475 MHz boost, while the RTX 5000 Embedded runs at 930 MHz base and 1680 MHz boost. The desktop card's higher clocks are typical of a consumer desktop part with a 200 W TDP, whereas the embedded card is rated at 150 W TDP and is designated as an IGP (integrated graphics processor) form factor. The desktop card uses a 1x 16-pin power connector and requires a 550 W suggested PSU, while the embedded card has no power connectors listed and no suggested PSU.
The RTX 4070 AD103 is a dual-slot card measuring 240 mm in length, 110 mm in height, and 40 mm in width, with display outputs of 1x HDMI 2.1 and 3x DisplayPort 1.4a. The RTX 5000 Embedded has no recorded physical dimensions, uses an IGP slot width, and its display outputs are listed as "Portable Device Dependent," reflecting its embedded, mobile-oriented design.
The Verdict
The data indicates that the RTX 5000 Embedded Ada Generation X2 is the stronger compute part on paper. Its higher shading unit count, larger ROP count, wider memory bus, and greater bandwidth all point to higher sustained throughput in workloads that scale with parallel resources. The 32.69 TFLOPS FP32 figure is the highest recorded compute number between the two, and the 576.0 GB/s bandwidth is likewise the highest memory throughput.
The RTX 4070 AD103, however, has the advantage in clock speed and form factor characteristics. Its 2475 MHz boost is substantially higher, and as a dual-slot desktop card with standard display outputs, it is designed for direct installation into a desktop PCIe slot. The higher clocks may benefit workloads that respond to frequency, but the embedded card's resource advantage is large enough that the desktop part trails in every aggregate throughput metric recorded: pixel rate, texture rate, FP32, and FP16.
For users selecting between these two, the RTX 5000 Embedded Ada Generation X2 is the choice when raw throughput and memory capacity are priorities, particularly given its 16 GB frame buffer versus 12 GB. The RTX 4070 AD103 is the choice when a standard desktop card form factor, higher clock operation, and conventional display outputs are required. Both share the same architecture, node, and die, so software compatibility and driver features should be identical. The embedded card is listed as Active production, while the RTX 4070 AD103 is End-of-life.
Specification Differences
The two GPUs differ in the following recorded fields:
- Shading Units: 5888 (RTX 4070 AD103) versus 9728 (RTX 5000 Embedded)
- TMUs: 184 versus 304
- ROPs: 64 versus 112
- RT Cores: 46 versus 76
- Tensor Cores: 184 versus 304
- Base Clock: 1920 MHz versus 930 MHz
- Boost Clock: 2475 MHz versus 1680 MHz
- Memory Size: 12 GB versus 16 GB
- Memory Type: GDDR6X versus GDDR6
- Memory Bus Width: 192 bit versus 256 bit
- Memory Clock: 1313 MHz (21 Gbps effective) versus 2250 MHz (18 Gbps effective)
- Memory Bandwidth: 504.2 GB/s versus 576.0 GB/s
- Pixel Rate: 158.4 GPixel/s versus 188.2 GPixel/s
- Texture Rate: 455.4 GTexel/s versus 510.7 GTexel/s
- FP32/FP16: 29.15 TFLOPS versus 32.69 TFLOPS
- TDP: 200 W versus 150 W
- Slot Width: Dual-slot versus IGP
- Power Connectors: 1x 16-pin versus None
- Suggested PSU: 550 W versus null
- Display Outputs: 1x HDMI 2.1, 3x DisplayPort 1.4a versus Portable Device Dependent
- Dimensions: 240 mm x 110 mm x 40 mm versus null dimensions
- Production Status: End-of-life versus Active
- Release Date: 2024-02-29 versus 2023-03-20
- Predecessor: GeForce 30 versus Ampere-MW
- Successor: GeForce 50 versus Blackwell-MW
- Series: GeForce 40-series versus GeForce 50-series (with generation noted as Ada-MW)
- Launch MSRP: 599 USD versus null
FAQ
Q: Which GPU has higher FP32 compute performance?
A: The RTX 5000 Embedded Ada Generation X2, with 32.69 TFLOPS versus 29.15 TFLOPS for the RTX 4070 AD103.
Q: How much memory does each card have, and what type?
A: The RTX 4070 AD103 has 12 GB of GDDR6X on a 192-bit bus. The RTX 5000 Embedded Ada Generation X2 has 16 GB of GDDR6 on a 256-bit bus.
Q: Which GPU has the higher boost clock?
A: The RTX 4070 AD103 has a boost clock of 2475 MHz, compared to 1680 MHz on the RTX 5000 Embedded Ada Generation X2.
Q: Are the two GPUs based on the same chip?
A: Yes, both use the AD103 chip on the Ada Lovelace architecture, fabricated on a 5 nm process at TSMC with 45,900 million transistors and a 379 mm² die size.
Q: What is the TDP difference between the two?
A: The RTX 4070 AD103 has a TDP of 200 W, while the RTX 5000 Embedded Ada Generation X2 has a TDP of 150 W.
Q: Which card has more ray tracing cores?
A: The RTX 5000 Embedded Ada Generation X2 has 76 RT cores, while the RTX 4070 AD103 has 46 RT cores.
Where Each One Wins
The RTX 5000 Embedded Ada Generation X2 wins in all recorded aggregate throughput metrics. It delivers 32.69 TFLOPS FP32, 510.7 GTexel/s texture rate, 188.2 GPixel/s pixel rate, and 576.0 GB/s memory bandwidth. It also offers 16 GB of memory, which is 33% more capacity than the 12 GB on the desktop card. Its 76 RT cores and 304 tensor cores provide a larger hardware pool for ray tracing and AI acceleration workloads. The embedded card is also more power-efficient on paper, with 150 W TDP delivering higher compute throughput than the 200 W desktop part.
The RTX 4070 AD103 wins in clock speed and desktop integration. Its 1920 MHz base and 2475 MHz boost clocks are far above the embedded card's figures. It is a dual-slot desktop card with 240 mm length, standard display outputs (1x HDMI 2.1, 3x DisplayPort 1.4a), a 1x 16-pin power connector, and a 550 W suggested PSU. It also has a higher memory clock of 1313 MHz (21 Gbps effective), though the narrower 192-bit bus limits its overall bandwidth. The RTX 4070 AD103 was released later, on 2024-02-29, versus 2023-03-20 for the embedded card, and it carries a recorded launch MSRP of 599 USD. However, its production status is End-of-life, whereas the embedded card remains Active.
For workloads that are memory-bound, the RTX 5000 Embedded Ada Generation X2 is clearly favored. Its 256-bit bus and 576.0 GB/s bandwidth provide 14.2% more memory throughput than the desktop card, and the larger 16 GB frame buffer supports larger datasets and higher-resolution textures. For workloads that are clock-sensitive or that require a discrete desktop card with conventional outputs, the RTX 4070 AD103 is the only option of the two that fits that physical and electrical profile. The data does not include any measured benchmark results, so the performance conclusions here are derived entirely from the recorded specifications and throughput calculations.