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Laguna-XS-2.1

Performance benchmark · measured on 08.10.2026 12:42

Benchmark-IDrun-20261009-081231-450fdb
Timebench 3 - Kombi (Prefill + Generation)Runtime: llama.cppQuantisierung: Q4_K_M
ℹ
Public note: Dell PowerEdge R820 . 2x AMD Radeon RX 7900 XTX (48 GB VRAM gesamt, ROCm/HIP) . RAM: 32x 16 GB SK Hynix DDR3-1600 ECC RDIMM (HMT42GR7AFR4A-PB) = 512 GB @ 1600 MT/s
Generation70,08tok/s
Prefill2.191,64tok/s
Time to First Token1.272,50ms
Total duration31,80s
Concurrency1parallel
Ranking in the field
721of 1808 systems

Performance benchmark · Primary metric: Generation-Speed (tok/s) · 1× concurrent

This run is better than 60 % of all comparable systems.
Generation 70,1 tok/s
-9 % vs Ø 77,1
Prefill 2.191,6 tok/s
-23 % vs Ø 2.836,4
Time to First Token 1.273 ms
-95 % vs Ø 25.162
Distribution in the field0 – 405 tok/s
Ø 77 Median Dieser Lauf

Wie schlägt sich dieser Benchmark mit anderen Modellen?

How does this benchmark compare on other GPUs?

Same model on different hardware · 1× concurrent · Generation (tok/s)

Hardware

GPU: 2x AMD Radeon RX 7900 XTX · 24 GB VRAM
CPU: 4x Intel(R) Xeon(R) CPU E5-4657L v2 @ 2.40GHz
RAM: 504 GB
Mainboard: Dell Inc. PowerEdge R820

Setup

Runtime: llama.cpp
Quantization: Q4_K_M
Model: Laguna-XS-2.1

Configuration

benchmark-konfiguration — run-20261009-081231-450fdb
# LLM-Benchmark Konfiguration # Modell : Laguna-XS-2.1 # Engine : llama.cpp # Run-ID : run-20261009-081231-450fdb # GPU : 2x AMD Radeon RX 7900 XTX # CPU : 4x Intel(R) Xeon(R) CPU E5-4657L v2 @ 2.40GHz # RAM : 504 GB bench@llm-benchmark:~$ llama-server \ -m Laguna-XS-2.1-IQ4_XS.gguf \ --alias Laguna-XS-2.1 \ -ngl 999 \ -sm layer \ -fa on \ -c 40960 \ -np 10 '(2x' RX 7900 XTX ROCm/HIP, 'gpu)'
Engine?Die Inferenz-Software, die das Modell ausliefert (z.B. vLLM oder llama.cpp). Sie bestimmt Geschwindigkeit, unterstuetzte Modellformate und welche Parameter ueberhaupt verfuegbar sind.llamacpp
Modellalias?Der Name, unter dem das Modell ueber die API angesprochen wird. Genau dieser Wert muss im Request-Feld 'model' stehen.Laguna-XS-2.1
Kontextlaenge?Maximale Anzahl Tokens (Eingabe + erzeugte Ausgabe zusammen), die das Modell pro Anfrage verarbeiten kann.40960
Modellpfad?Pfad zur GGUF-Modelldatei, die geladen und ausgeliefert wird.Laguna-XS-2.1-IQ4_XS.gguf
GPU-Layer?Anzahl der auf die GPU ausgelagerten Modell-Layer. Hoeher = mehr VRAM und schneller; der Rest laeuft auf der CPU. 999 = alles auf GPU.999
Split-Mode?Verteilung ueber mehrere GPUs: none (nur eine GPU), layer (Layer aufteilen) oder row (Tensoren zeilenweise).layer
faon
Kontext?Groesse des Kontextfensters in Token. 0 = der beim Training verwendete Kontext des Modells.40960
np10
execution_typelocal

All benchmarks of this model To leaderboard

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Model comparison

Laguna-XS-2.1 on various hardware

All published performance runs of this model – each bubble a variant: position = prefill (X) × generation (Y), bubble size = number of runs. Closer to the top right = faster. ★ Marked gold = this benchmark.

GPUby graphics card

2.2371.6781.1185590,006.29112.58318.874Prefill (tok/s)Generation (tok/s)NVIDIA GeForce RTX 5090 - 1.765,0 tok/s Generation, 7.330 tok/s Prefill, TTFT 3.704 ms (9 Laufe)NVIDIA GeForce RTX 50...NVIDIA RTX PRO 6000 Blackwell Workstation Edition - 1.757,4 tok/s Generation, 7.536 tok/s Prefill, TTFT 3.531 ms (9 Laufe)NVIDIA RTX PRO 6000 B...NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition - 1.629,9 tok/s Generation, 9.102 tok/s Prefill, TTFT 3.884 ms (33 Laufe)NVIDIA RTX PRO 6000 B...NVIDIA GeForce RTX 3090 Ti - 986,1 tok/s Generation, 4.490 tok/s Prefill, TTFT 6.230 ms (9 Laufe)NVIDIA GeForce RTX 30...NVIDIA RTX A6000 - 836,4 tok/s Generation, 15.419 tok/s Prefill, TTFT 2.448 ms (30 Laufe)NVIDIA RTX A6000NVIDIA GeForce RTX 5070 Ti - 319,0 tok/s Generation, 1.367 tok/s Prefill, TTFT 23.939 ms (15 Laufe)NVIDIA GeForce RTX 50...AMD Radeon AI PRO R9700 - 288,8 tok/s Generation, 2.446 tok/s Prefill, TTFT 47.487 ms (16 Laufe)AMD Radeon AI PRO R97...AMD Radeon RX 7900 XTX - 468,6 tok/s Generation, 3.624 tok/s Prefill, TTFT 4.869 ms (6 Laufe) | DIESER LAUF★ AMD Radeon RX 7900 XTX
NVIDIA GeForce RTX 5090 1.765,0 tok/sNVIDIA RTX PRO 6000 Blackwell Workstation Edition 1.757,4 tok/sNVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition 1.629,9 tok/sNVIDIA GeForce RTX 3090 Ti 986,1 tok/sNVIDIA RTX A6000 836,4 tok/s★ AMD Radeon RX 7900 XTX 468,6 tok/s this runNVIDIA GeForce RTX 5070 Ti 319,0 tok/sAMD Radeon AI PRO R9700 288,8 tok/s

CPUby processor

2.2521.6891.1265630,004.6309.25913.889Prefill (tok/s)Generation (tok/s)AMD Ryzen 7 5800X3D 8-Core Processor - 1.765,0 tok/s Generation, 7.330 tok/s Prefill, TTFT 3.704 ms (9 Laufe)AMD Ryzen 7 5800X3D 8...AMD Ryzen 9 9950X 16-Core Processor - 1.757,4 tok/s Generation, 7.536 tok/s Prefill, TTFT 3.531 ms (9 Laufe)AMD Ryzen 9 9950X 16-...AMD Ryzen Threadripper PRO 9965WX 24-Cores - 1.629,9 tok/s Generation, 9.102 tok/s Prefill, TTFT 3.884 ms (33 Laufe)AMD Ryzen Threadrippe...AMD Ryzen 9 8945HX with Radeon Graphics - 986,1 tok/s Generation, 4.490 tok/s Prefill, TTFT 6.230 ms (9 Laufe)AMD Ryzen 9 8945HX wi...AMD Ryzen Threadripper PRO 7955WX 16-Cores - 836,4 tok/s Generation, 11.399 tok/s Prefill, TTFT 19.107 ms (43 Laufe)AMD Ryzen Threadrippe...AMD Ryzen Threadripper PRO 3955WX 16-Cores - 468,6 tok/s Generation, 3.926 tok/s Prefill, TTFT 5.292 ms (3 Laufe)AMD Ryzen Threadrippe...AMD Ryzen Threadripper PRO 5975WX 32-Cores - 319,0 tok/s Generation, 1.367 tok/s Prefill, TTFT 23.939 ms (15 Laufe)AMD Ryzen Threadrippe...AMD Ryzen 3 3100 4-Core Processor - 288,8 tok/s Generation, 3.856 tok/s Prefill, TTFT 3.881 ms (3 Laufe)AMD Ryzen 3 3100 4-Co...Intel(R) Xeon(R) CPU E5-4657L v2 @ 2.40GHz - 212,4 tok/s Generation, 3.322 tok/s Prefill, TTFT 4.445 ms (3 Laufe) | DIESER LAUF★ Intel(R) Xeon(R) CPU ...
AMD Ryzen 7 5800X3D 8-Core Processor 1.765,0 tok/sAMD Ryzen 9 9950X 16-Core Processor 1.757,4 tok/sAMD Ryzen Threadripper PRO 9965WX 24-Cores 1.629,9 tok/sAMD Ryzen 9 8945HX with Radeon Graphics 986,1 tok/sAMD Ryzen Threadripper PRO 7955WX 16-Cores 836,4 tok/sAMD Ryzen Threadripper PRO 3955WX 16-Cores 468,6 tok/sAMD Ryzen Threadripper PRO 5975WX 32-Cores 319,0 tok/sAMD Ryzen 3 3100 4-Core Processor 288,8 tok/s★ Intel(R) Xeon(R) CPU E5-4657L v2 @ 2.40GHz 212,4 tok/s this run

MBby mainboard

2.2521.6891.1265630,004.1928.38312.575Prefill (tok/s)Generation (tok/s)ASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING - 1.765,0 tok/s Generation, 7.330 tok/s Prefill, TTFT 3.704 ms (9 Laufe)ASUSTeK COMPUTER INC....ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI - 1.757,4 tok/s Generation, 7.536 tok/s Prefill, TTFT 3.531 ms (9 Laufe)ASUSTeK COMPUTER INC....ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE - 1.629,9 tok/s Generation, 10.402 tok/s Prefill, TTFT 12.497 ms (76 Laufe)ASUSTeK COMPUTER INC....Meigao Innovation Technology (Shen Zhen) Co., Ltd DRFXL (MotherBoard Series) - 986,1 tok/s Generation, 4.490 tok/s Prefill, TTFT 6.230 ms (9 Laufe)Meigao Innovation Tec...ASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI - 468,6 tok/s Generation, 1.793 tok/s Prefill, TTFT 20.831 ms (18 Laufe)ASUSTeK COMPUTER INC....ASUSTeK COMPUTER INC. ROG STRIX X570-F GAMING - 288,8 tok/s Generation, 3.856 tok/s Prefill, TTFT 3.881 ms (3 Laufe)ASUSTeK COMPUTER INC....Dell Inc. PowerEdge R820 - 212,4 tok/s Generation, 3.322 tok/s Prefill, TTFT 4.445 ms (3 Laufe) | DIESER LAUF★ Dell Inc. PowerEdge R...
ASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING 1.765,0 tok/sASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI 1.757,4 tok/sASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE 1.629,9 tok/sMeigao Innovation Technology (Shen Zhen) Co., Ltd DRFXL (MotherBoard Series) 986,1 tok/sASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI 468,6 tok/sASUSTeK COMPUTER INC. ROG STRIX X570-F GAMING 288,8 tok/s★ Dell Inc. PowerEdge R820 212,4 tok/s this run

ENGby engine

2.2891.7171.1455720,007.78115.56223.343Prefill (tok/s)Generation (tok/s)vLLM - 836,4 tok/s Generation, 19.361 tok/s Prefill, TTFT 1.004 ms (21 Laufe)vLLMunbekannt - 26,9 tok/s Generation, 3.698 tok/s Prefill, TTFT 748 ms (1 Lauf)unbekanntllama.cpp - 1.765,0 tok/s Generation, 5.793 tok/s Prefill, TTFT 13.800 ms (105 Laufe) | DIESER LAUF★ llama.cpp
★ llama.cpp 1.765,0 tok/s this runvLLM 836,4 tok/sunbekannt 26,9 tok/s

DRVby driver

2.2891.7171.1455720,02.4314.7287.0259.322Prefill (tok/s)Generation (tok/s)unbekannt - 1.765,0 tok/s Generation, 8.054 tok/s Prefill, TTFT 11.668 ms (126 Laufe)unbekanntAMD 7.0.0-27-generic - 26,9 tok/s Generation, 3.698 tok/s Prefill, TTFT 748 ms (1 Lauf)AMD 7.0.0-27-generic
unbekannt 1.765,0 tok/sAMD 7.0.0-27-generic 26,9 tok/s
💰 Economics

Economics of this run

Operating cost, TCO and comparison with the next-best runs of the same model at identical concurrency (1× concurrent). Methodology →

⚙️ ConfigurationAll metrics and charts below follow these settings – based on a 24-month runtime.Save to URLReset
⚡ Electricity price EUR/kWh
⚙️ System utilization 100 %
🖥️ Acquisition EUR
🔌 Idle 35 W
⚡ TDP 749 W
☁️ External LLM (API)
Electricity0.30 EUR/kWh
Avg power (incl. idle)749 W estimated (TDP)GPU 710 + CPU 29 + Board 10 W full load
Avg cost / hourEUR 0.22
Electricity / 1M tokensEUR 0.89
Token / kWh336.95K
Acquisition (system)EUR 4,353 partial priceGPU EUR 2,098 · CPU EUR 59 · RAM EUR 2,016 · PSU EUR 180
Electricity (2 years)–
TCO (2 years)EUR 8,288
Output tokens (2 years)4.42B
☁️ External LLM (API) – comparison
External LLM cost (2 years)–
Savings vs. external (2 years)–

All values above and the charts below take the configured system utilization into account: at X% the system generates only X% of the time, the rest it idles (35 W). Cost per hour drops (more idle), cost per token rises.

Cost over 2 years – electricity only

Cost over 2 years – incl. acquisition (TCO)

Speed vs. tokens per euro

Euro per 1M tokens

Comparison vs. API – economics per benchmark

Laguna-XS-2.12x AMD Radeon RX 7900 XTXLaguna-XS-2.1NVIDIA RTX PRO 6000 Blackwell Workstation EditionLaguna-XS-2.1NVIDIA RTX PRO 6000 Blackwell Workstation EditionLaguna-XS-2.1NVIDIA RTX PRO 6000 Blackwell Workstation Edition
Electricity cost (24 mo.)––––
Acquisition cost––––
Total cost (TCO)––––
Generated tokens (24 mo.)––––
Token price via API––––
Break-even point (days)––––
Result (savings / extra cost)––––

Comparison with up to 3 next-best runs of this model at the same concurrency (at least one on different hardware). Power = GPU TDP + CPU (idle + 15 %) + board (estimated), acquisition = full system (GPU + CPU + board + RAM + PSU), prices = stored market prices.

Contributed by

Mario Alka Administrator

@marioalka

Ich bin Unternehmer, Softwareentwickler und KI-Enthusiast. Seit vielen Jahren entwickle ich Unternehmenssoftware und beschäftige mich inzwischen fast täglich mit lokalen LLMs, KI-Agenten und leistungsfähiger KI-Hardware.

Mit LLM-Benchmark.de möchte ich eine Plattform schaffen, auf der Modelle, GPUs und Agenten objektiv und reproduzierbar miteinander verglichen werden.