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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)

Keterangan:

  • Score
    Benchmark score (relative)
  • CUDA
    Number of CUDA cores/stream processors
  • Clock
    Clock speed (MHz)
  • Arch
    Architecture factor (1.0-1.5)

How to Use

  1. 1

    Select GPU

    Select model GPU or input manual.

  2. 2

    Input Beban

    Enter jenis beban (Training/Inference).

  3. 3

    Calculate

    Dapatkan skor benchmark.

Contoh Perhitungan

RTX 4090

Soal:

16384 CUDA, 2520MHz, Arch=1.3. Score?

Penyelesaian:
  1. 1.Score = (16384 × 2520 × 1.3) / (16 × 1)
  2. 2.Score ≈ 3.35M (relatif)
Hasil:Score ≈ 3.35M (Top-tier)

RTX 4090 is GPU kelas atas for AI/ML.

Pertanyaan yang Sering Diajukan (FAQ)

Skor absolut?
Skor relatif (base 100 for GTX 1060). Bandingkan antar GPU.
VRAM penting?
Ya, for model besar. RTX 4090 punya 24GB VRAM.

Kalkulator Terkait

VRAM LLM

Kebutuhan VRAM for LLM

Inference Speed

Kecepatan inferensi

Referensi