Ada Lovelace Arch
- Vendor
- NVIDIA
- Node
- TSMC 4N
- TDP Target
- 450W – 600W
FP32 TFLOPS (Peak)
~82.6
Active Analysis Phase
Compute & Graphics
Performance Engineering
Rigorous evaluation of next-generation silicon architectures. We baseline, profile, and optimize heterogeneous workloads across leading foundry nodes.
Heterogeneous Benchmarking
Comparative analysis of discrete and integrated architectures under synthetic and real-world stress loads.
RDNA 3 Arch
- Vendor
- AMD
- Node
- TSMC 5nm / 6nm
- TDP Target
- 300W – 355W
FP32 TFLOPS (Peak)
~61.4
Oryon / Adreno
- Vendor
- Qualcomm
- Node
- TSMC 4nm
- TDP Target
- 15W – 45W
NPU TOPS
~45
Workload-Specific Profiling
Detailed analysis of efficiency metrics across varied computational domains.
| Workload Type | Primary Metric | Arch Alpha (High Perf) | Arch Beta (Efficiency) | Delta |
|---|---|---|---|---|
| Ray Tracing (RTX) | Giga Rays/s | 191.0 | 84.2 | +126% |
| LLM Inference (INT8) | Tokens/s/Watt | 2.4 | 5.8 | -58% |
| Rasterization (4K) | FPS/Watt | 0.18 | 0.25 | -27% |
| Scientific Compute | FP64 TFLOPS | 34.0 | 11.9 | +186% |