AMD Ryzen 9 7950X3D 16-Core Processor

1227 Factorio benchmark results across 24 maps. Use the breakdown to explore this CPU's performance on specific factories and game versions.

UPS means updates per second: higher is faster. The overall distribution combines different workloads, so compare the same map and version for meaningful results. These are community submissions, not controlled tests; memory, operating system, and settings can vary.

Result distribution

1227 results across all Factorio versions. Each bar groups a UPS range.

Result distribution Histogram of 1227 results from 29.00 to 35714.00 UPS. 1205 results (98.2%): 29.00–1218.50 UPS0 results (0%): 1218.50–2408.00 UPS0 results (0%): 2408.00–3597.50 UPS0 results (0%): 3597.50–4787.00 UPS0 results (0%): 4787.00–5976.50 UPS2 results (0.16%): 5976.50–7166.00 UPS0 results (0%): 7166.00–8355.50 UPS1 result (0.08%): 8355.50–9545.00 UPS8 results (0.65%): 9545.00–10734.50 UPS0 results (0%): 10734.50–11924.00 UPS0 results (0%): 11924.00–13113.50 UPS0 results (0%): 13113.50–14303.00 UPS0 results (0%): 14303.00–15492.50 UPS2 results (0.16%): 15492.50–16682.00 UPS4 results (0.33%): 16682.00–17871.50 UPS0 results (0%): 17871.50–19061.00 UPS0 results (0%): 19061.00–20250.50 UPS0 results (0%): 20250.50–21440.00 UPS0 results (0%): 21440.00–22629.50 UPS0 results (0%): 22629.50–23819.00 UPS0 results (0%): 23819.00–25008.50 UPS0 results (0%): 25008.50–26198.00 UPS0 results (0%): 26198.00–27387.50 UPS0 results (0%): 27387.50–28577.00 UPS0 results (0%): 28577.00–29766.50 UPS0 results (0%): 29766.50–30956.00 UPS3 results (0.24%): 30956.00–32145.50 UPS1 result (0.08%): 32145.50–33335.00 UPS0 results (0%): 33335.00–34524.50 UPS1 result (0.08%): 34524.50–35714.00 UPS

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View all results for this CPU

Benchmarks by map and Factorio version

Select a result count to inspect the individual runs. On small screens, scroll the table horizontally.

MapFactorio versionResultsUPS range
flame_Sla 10k - 10x1000spm Belt Module 1.1.76 209 160.00–458.00
flame_Sla 10k - 10x1000spm Belt Module 1.1.80 121 188.00–471.00
flame_Sla 10k - 10x1000spm Belt Module 1.1.107 89 187.00–434.00
flame_Sla 10k - 10x1000spm Belt Module 1.1.110 79 118.00–437.00
flame_Sla 10k - 10x1000spm Belt Module 1.1.87 67 167.00–467.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.15 62 130.00–557.00
flame_Sla 10k - 10x1000spm Belt Module 1.1.109 51 179.00–445.00
Flame_Sla's 50k SPM belt map (50x1000SPM) v3 1.1.94 45 31.00–51.00
flame_Sla 10k - 10x1000spm Belt Module 1.1.94 29 154.00–465.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.69 21 138.00–405.00
Flame_Sla's 30k SPM belt map (30x1000SPM) v3 1.1.76 21 55.00–101.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.72 20 182.00–423.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.28 19 182.00–448.00
Flame_Sla's 50k SPM belt map (50x1000SPM) v3 2.0.15 19 42.00–67.00
flame_Sla 10k - 10x1000spm Belt Module 1.1.91 18 172.00–447.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.43 16 215.00–418.00
flame_Sla 10k - 10x1000spm Belt Module 1.1.104 16 146.00–403.00
Flame_Sla's 20k SPM belt map (20x1000SPM) v3 1.1.76 15 83.00–192.00
flame_Sla 10k - 10x1000spm Belt Module 1.1.101 12 163.00–449.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.14 11 228.00–459.00
flame_Sla 10k - 10x1000spm Belt Module 1.1.81 11 222.00–408.00
Flame_Sla's 50k SPM belt map (50x1000SPM) v3 1.1.91 11 31.00–61.00
flame_Sla 10k - 10x1000spm Belt Module 1.1.89 10 226.00–426.00
Stevetrov's 20K (4x5K) Rail Factory megabase 1.1.110 10 68.00–130.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.23 9 203.00–478.00
flame_Sla 10k - 10x1000spm Belt Module 1.1.100 9 180.00–425.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.60 8 229.00–397.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.10 8 214.00–278.00
flame_Sla 10k - 10x1000spm Belt Module 1.1.92 8 212.00–422.00
flame_Sla 10k - 10x1000spm Belt Module 1.1.78 8 181.00–430.00
Stevetrov's 10k belt megabase 1.0.0 8 118.00–226.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.32 7 338.00–457.00
flame_Sla 10k - 10x1000spm Belt Module 1.1.108 7 365.00–435.00
flame_Sla 10k - 10x1000spm Belt Module 1.1.61 7 234.00–419.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.55 6 114.00–387.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.41 6 212.00–460.00
Flame_Sla's 50k SPM belt map (50x1000SPM) v3 2.0.39 6 35.00–59.00
Stevetrov's 10k belt megabase 0.17.79 6 103.00–155.00
teaching my friends how to (poorly) play 1.1.87 6 10101.00–10309.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.39 5 225.00–416.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.20 5 208.00–430.00
Flame_Sla's 30k SPM belt map (30x1000SPM) v3 1.1.80 5 81.00–102.00
Flame_Sla's 50k SPM belt map (50x1000SPM) v3 2.0.12 5 41.00–57.00
Klonan | 4k trains Megagrid | 10k SPM | Base game + Elevated rails 2.0.77 5 41.61–47.96
Warger's 100% Map - Max CPU stress 1.1.80 5 88.00–118.00
1 1.1.92 4 16667.00–17857.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.21 4 267.00–416.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.9 4 239.00–455.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.7 4 271.00–459.00
Flame_Sla's 50k SPM belt map (50x1000SPM) v3 1.1.110 4 38.00–51.00
Swolar's 20K Hybrid-Modular 1.1.76 4 93.00–114.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.77 3 292.69–392.06
flame_Sla 10k - 10x1000spm Belt Module 2.0.8 3 211.00–433.00
flame_Sla 10k - 10x1000spm Belt Module 1.1.86 3 318.00–439.00
Flame_Sla's 30k SPM belt map (30x1000SPM) v3 1.1.110 3 59.00–79.00
Flame_Sla's 30k SPM belt map (30x1000SPM) v3 1.1.81 3 89.00–90.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.73 2 187.00–367.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.47 2 276.00–447.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.26 2 245.00–427.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.13 2 244.00–432.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.12 2 335.00–375.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.11 2 249.00–421.00
flame_Sla 10k - 10x1000spm Belt Module 1.1.82 2 231.00–234.00
Flame_Sla's 30k SPM belt map (30x1000SPM) v3 2.0.14 2 77.00–107.00
Flame_Sla's 30k SPM belt map (30x1000SPM) v3 1.1.94 2 75.00–96.00
Flame_Sla's 30k SPM belt map (30x1000SPM) v3 1.1.91 2 81.00–95.00
Flame_Sla's 50k SPM belt map (50x1000SPM) v3 2.0.77 2 43.87–46.20
Flame_Sla's 50k SPM belt map (50x1000SPM) v3 2.0.7 2 62.00–64.00
Flame_Sla's 50k SPM belt map (50x1000SPM) v3 1.1.101 2 29.00–33.00
Kalak 1.1.94 2 31250.00
Stevetrovs 40x1K belt cell megabase 1.1.80 2 58.00–82.00
teaching my friends how to (poorly) play 1.1.104 2 6250.00–6494.00
teaching my friends how to (poorly) play 1.1.86 2 10101.00–10204.00
1 1.1.86 1 17857.00
475475 rockets - 10k stable at 6800 city blocks 100x60 1.1.80 1 38.00
712000 rawket lawnchairs 10000spm 260 trains 1.1.87 1 37.00
712000 rawket lawnchairs 10000spm 260 trains 1.1.80 1 48.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.42 1 235.00
flame_Sla 10k - 10x1000spm Belt Module 2.0.33 1 245.00
flame_Sla 10k - 10x1000spm Belt Module 1.1.105 1 376.00
flame_Sla 10k - 10x1000spm Belt Module 1.1.90 1 337.00
flame_Sla 10k - 10x1000spm Belt Module 1.0.0 1 234.00
Flame_Sla's 20k SPM belt map (20x1000SPM) v3 1.1.81 1 177.00
Flame_Sla's 20k SPM belt map (20x1000SPM) v3 1.1.80 1 197.00
Flame_Sla's 30k SPM belt map (30x1000SPM) v3 1.1.109 1 83.00
Flame_Sla's 30k SPM belt map (30x1000SPM) v3 1.1.87 1 96.00
Flame_Sla's 40k SPM belt map (40x1000SPM) v3 1.1.87 1 68.00
Flame_Sla's 50k SPM belt map (50x1000SPM) v3 2.0.10 1 50.00
Flame_Sla's 50k SPM belt map (50x1000SPM) v3 1.1.80 1 47.00
High UPS 40k cell base 1.1.80 1 88.00
Kalak 1.1.92 1 35714.00
Kalak 1.1.87 1 32258.00
Kalak 1.1.86 1 31250.00
napo 10000spm 10000city blocks switching out reactors 1,1 million rockets 1.1.87 1 36.00
Smurphy1 40.5k monolithic belt base 1.1.87 1 81.00
Smurphy1 50k cell 1.1.86 1 65.00
Stevetrov's 10k belt megabase (1.1) 1.1.81 1 339.00
Stevetrov's 10k belt megabase (1.1) 1.1.76 1 229.00
Stevetrov's 20K (4x5K) Rail Factory megabase 1.1.100 1 126.00
Stevetrov's 20K (4x5K) Rail Factory megabase 1.1.81 1 137.00
Stevetrovs 40x1K belt cell megabase 1.1.81 1 73.00
Swolar's 20K Hybrid-Modular 1.1.80 1 153.00
Testing almost full belts vs partial 1.1.86 1 16129.00
Warger's 100% map 1.1.80 1 147.00
Warger's 100% Map - Max CPU stress 1.1.87 1 95.00
wilkiedb lab savefile 1.1.86 1 8929.00

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