GPU Benchmark Calculator - AI Benchmark Score
Compare GPU performance for AI inference and training workloads. Calculates FLOPs, memory bandwidth, and benchmark scores for NVIDIA, AMD, and consumer/professional GPUs. Essential for ML engineers selecting hardware for deep learning model deployment.
Benchmark Score (Simplified)
Score = (CUDA Cores × Clock × Arch) / (Bitwidth × Batch)Variables:
- ScoreBenchmark score (relative)Benchmark score (relative)
- CUDANumber of CUDA cores/stream processorsNumber of CUDA cores/stream processors
- ClockClock speed (MHz)Clock speed (MHz)
- ArchArchitecture factor (1.0-1.5)Architecture factor (1.0-1.5)
How to Use
- 1
Select GPU
Select model GPU or input manual.
- 2
Input Beban
Enter jenis beban (Training/Inference).
- 3
Calculate
Dapatkan skor benchmark.
Examples
RTX 4090
Problem:
16384 CUDA, 2520MHz, Arch=1.3. Score?
Solution:
- 1.Score = (16384 × 2520 × 1.3) / (16 × 1)
- 2.Score ≈ 3.35M (relatif)
Result:Score ≈ 3.35M (Top-tier)
RTX 4090 is GPU kelas atas for AI/ML.
Frequently Asked Questions
Skor absolut?
Skor relatif (base 100 for GTX 1060). Bandingkan antar GPU.
VRAM penting?
Ya, for model besar. RTX 4090 punya 24GB VRAM.