NVIDIA RTX 3500 Embedded Ada Generation vs Lisuan Tech LX 7G100 Comparison

Head-to-Head Benchmarks

The database records no direct head-to-head benchmark runs between the NVIDIA RTX 3500 Embedded Ada Generation and the Lisuan Tech LX 7G100. Both cards hold identical percentile rankings against all GPUs in the database, each sitting at the 50th percentile with an average benchmark score of zero. This absence of measured comparison data means the analysis below relies strictly on the recorded specification fields rather than observed frame rates or compute scores.

Where the recorded data allows indirect comparison, the Lisuan Tech LX 7G100 posts higher theoretical throughput figures. The LX 7G100 delivers 24.58 TFLOPS FP32 versus 23.04 TFLOPS for the RTX 3500 Embedded Ada, a difference of roughly 6.7% in raw single-precision compute. The gap widens substantially in half-precision work: the LX 7G100 reaches 49.15 TFLOPS FP16 with a 2:1 ratio, while the RTX 3500 Embedded Ada manages 23.04 TFLOPS FP16 at a 1:1 ratio. That puts the Lisuan part at more than double the FP16 throughput, which matters for AI inference and training workloads that lean on reduced precision.

Pixel throughput also favors the LX 7G100, which records 192.0 GPixel/s against 144.0 GPixel/s for the NVIDIA card. Texture rate follows the same pattern: 384.0 GTexel/s versus 360.0 GTexel/s. These figures come from the larger shading unit count (6144 versus 5120), higher TMU count (192 versus 160), and higher ROP count (96 versus 64) on the Lisuan part.

Memory configuration is identical on paper. Both cards use 12 GB of GDDR6 on a 192-bit bus, with 432.0 GB/s of bandwidth and memory clocks rated at 2250 MHz, 18 Gbps effective. The NVIDIA card has no recorded base or boost clock speeds in the database, and the Lisuan card lists no clock speeds at all, so direct frequency comparison is impossible from the recorded data.

Neither card has recorded benchmark scores in the database, and both carry the same 50th percentile rank against all GPUs. The theoretical compute advantage for the LX 7G100 is clear from the spec sheet, but without measured results, the practical impact of that advantage remains unquantified in the record.

FAQ

Q: Which card has higher FP32 compute throughput?

A: The Lisuan Tech LX 7G100 records 24.58 TFLOPS FP32, while the NVIDIA RTX 3500 Embedded Ada Generation records 23.04 TFLOPS FP32. The Lisuan part leads by approximately 6.7% in single-precision floating-point work.

Q: Do the two cards use the same memory configuration?

A: Yes. Both cards list 12 GB of GDDR6 memory on a 192-bit bus, with 432.0 GB/s bandwidth and memory clocks at 2250 MHz, 18 Gbps effective.

Q: How do the FP16 capabilities differ?

A: The LX 7G100 achieves 49.15 TFLOPS FP16 with a 2:1 ratio, meaning it doubles its FP32 rate for half-precision. The RTX 3500 Embedded Ada achieves 23.04 TFLOPS FP16 at a 1:1 ratio, so its half-precision throughput matches its FP32 rate. The Lisuan card offers more than double the FP16 throughput.

Q: What are the power requirements for each card?

A: The RTX 3500 Embedded Ada has a 100 W TDP with no power connectors and a suggested PSU of 300 W. The LX 7G100 has a 225 W TDP, requires one 8-pin power connector, and carries a suggested PSU of 550 W.

Q: Which card has more shading units, TMUs, and ROPs?

A: The LX 7G100 has 6144 shading units, 192 TMUs, and 96 ROPs. The RTX 3500 Embedded Ada has 5120 shading units, 160 TMUs, and 64 ROPs. The Lisuan card leads across all three counts.

Q: Do the cards support the same graphics APIs?

A: Both support DirectX 12 Ultimate (12_2) and OpenGL 4.6. The RTX 3500 Embedded Ada supports Vulkan 1.4, while the LX 7G100 supports Vulkan 1.3.

Architecture Differences

The two cards come from fundamentally different architectural lineages. The NVIDIA RTX 3500 Embedded Ada Generation uses the AD104 chip built on the Ada Lovelace architecture, fabricated by TSMC on a 5 nm process. It contains 35,800 million transistors on a 294 mm² die, yielding a transistor density of 121.8M per mm². The architecture is a successor to Ampere-MW and has Blackwell-MW listed as its successor, placing it within NVIDIA's workstation-focused product line.

The Lisuan Tech LX 7G100 uses the 7G106 chip built on an architecture simply labeled "TrueGPU", also fabricated by TSMC but on a 6 nm process. The database records no transistor count, die size, or transistor density for this part. The 7G100 generation designation is the only generational marker available.

Ray tracing and tensor core configurations differ sharply. The RTX 3500 Embedded Ada carries 40 RT cores and 160 tensor cores, enabling hardware-accelerated ray tracing and AI tensor operations. The LX 7G100 lists no RT core count and no tensor core count in the database, meaning the record provides no evidence of dedicated hardware for either workload class.

The FP16 implementation reveals a core architectural difference. The NVIDIA card runs FP16 at a 1:1 ratio with FP32, meaning both operate at 23.04 TFLOPS. The Lisuan card runs FP16 at a 2:1 ratio, delivering 49.15 TFLOPS against 24.58 TFLOPS FP32. This suggests the TrueGPU architecture dedicates additional hardware to half-precision math, a design choice that benefits machine learning inference and certain scientific compute workloads.

Vulkan support differs by one revision: the NVIDIA card supports Vulkan 1.4, while the Lisuan card supports Vulkan 1.3. Both support DirectX 12 Ultimate (12_2) and OpenGL 4.6, so the feature set for modern game APIs is equivalent at the recorded level.

Specification Differences

The process node differs: TSMC 5 nm for the NVIDIA card versus TSMC 6 nm for the Lisuan card. The NVIDIA part carries 35,800 million transistors on a 294 mm² die; the Lisuan part lists no transistor count or die size. Transistor density for the NVIDIA card is 121.8M per mm², with no equivalent figure recorded for the Lisuan card.

Compute unit counts favor the Lisuan card across the board. Shading units: 6144 versus 5120. TMUs: 192 versus 160. ROPs: 96 versus 64. The Lisuan card also produces higher pixel rate (192.0 GPixel/s versus 144.0 GPixel/s) and texture rate (384.0 GTexel/s versus 360.0 GTexel/s).

FP32 output favors the Lisuan card at 24.58 TFLOPS versus 23.04 TFLOPS. FP16 output strongly favors the Lisuan card at 49.15 TFLOPS versus 23.04 TFLOPS. The NVIDIA card's FP16 runs at a 1:1 ratio with FP32; the Lisuan card's FP16 runs at a 2:1 ratio.

Power and physical specifications differ significantly. The NVIDIA card has a 100 W TDP, no power connectors, a 300 W suggested PSU, and an IGP slot width. The Lisuan card has a 225 W TDP, one 8-pin power connector, a 550 W suggested PSU, and a dual-slot width. Physical dimensions are recorded only for the Lisuan card: 294 mm length, 120 mm height, 49 mm width.

Display outputs differ. The NVIDIA card records "No outputs", while the Lisuan card provides 4x DisplayPort 1.4a. The NVIDIA card has no recorded base or boost clock speeds; the Lisuan card also has no recorded clock speeds.

Memory is identical: 12 GB GDDR6, 192-bit bus, 432.0 GB/s bandwidth, 2250 MHz memory clock. Both use PCIe 4.0 x16. Release dates differ, with the NVIDIA card dated 2023 and the Lisuan card dated 2026. The NVIDIA card has a predecessor (Ampere-MW) and successor (Blackwell-MW); the Lisuan card lists neither.

Where Each One Wins

The Lisuan Tech LX 7G100 wins on raw compute throughput in both FP32 and FP16. The 24.58 TFLOPS FP32 figure edges out the NVIDIA card's 23.04 TFLOPS, while the 49.15 TFLOPS FP16 output more than doubles the NVIDIA card's 23.04 TFLOPS. The higher shading unit, TMU, and ROP counts support workloads that scale with parallel execution units, such as rendering, simulation, and half-precision machine learning.

The Lisuan card also wins on display connectivity. Four DisplayPort 1.4a outputs enable multi-monitor setups directly from the card, whereas the NVIDIA Embedded Ada part records no outputs at all. For any use case requiring direct display attachment, the Lisuan card is the only option between the two.

The NVIDIA RTX 3500 Embedded Ada Generation wins on efficiency and integration. The 100 W TDP against 225 W for the Lisuan card means substantially lower power draw. The IGP slot width and absence of power connectors indicate a design intended for embedded or mobile integration where space and power are constrained. The NVIDIA card also lists 40 RT cores and 160 tensor cores, providing dedicated hardware for ray tracing and tensor operations that the Lisuan card does not record.

The NVIDIA card wins on process technology, built on 5 nm versus 6 nm for the Lisuan part. It also carries a known transistor count and die size, which aids thermal and integration planning. The newer Vulkan 1.4 support versus Vulkan 1.3 gives the NVIDIA card a minor API advantage.

The Verdict

The recorded data splits the decision cleanly by use case. For compute-heavy workloads, particularly those using FP16 precision, the Lisuan Tech LX 7G100 is the stronger part on paper. Its 49.15 TFLOPS FP16 output, 24.58 TFLOPS FP32, and higher pixel and texture rates position it for machine learning inference, scientific compute, and rendering tasks that can exploit its larger execution resource pool. The 12 GB GDDR6 memory with 432.0 GB/s bandwidth matches the NVIDIA card exactly, so memory capacity does not differentiate the two.

For embedded integration, low-power operation, or direct display output, the NVIDIA RTX 3500 Embedded Ada Generation has clear advantages. Its 100 W TDP, IGP slot width, and lack of power connectors indicate a design for compact, thermally constrained environments. The 40 RT cores and 160 tensor cores provide hardware acceleration paths that the Lisuan card does not document.

The Lisuan card requires a 550 W suggested PSU and a dual-slot footprint with 294 mm length, which places it in conventional desktop or workstation chassis territory. The NVIDIA card's 300 W suggested PSU and no-connector power design fit systems where the card must share power budget with other components.

The absence of recorded benchmark scores means no measured performance data exists in the database for either card. The percentile ranking is identical at 50 for both. The architectural differences, however, point to different design intents: the NVIDIA card targets embedded and mobile workstation use with efficient ray tracing and tensor hardware, while the Lisuan card targets raw throughput with a larger execution unit array and doubled FP16 capability.

Buyers needing half-precision compute and direct display outputs should favor the Lisuan card. Buyers needing low power draw, compact integration, and dedicated ray tracing or tensor hardware should favor the NVIDIA card. The data does not support a single universal winner.