intel-massive

Running pts/openarena-1.4.0, pts/nexuiz-1.6.0, pts/padman-1.1.0, pts/warsow-1.2.0.

HTML result view exported from: https://openbenchmarking.org/result/1104146-GR-INTELMASS34&gru&sor.

intel-massiveProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolutionf703ba8c42e924ee6d5e4308c3888e434d8ba98c847f991a87b9549eb89a521edb7cd149005006bb2432ca1c2e205100d48070305ba2d5f8978bce03a7fa203f0d645bdb06b3cb345ab1a0ccf4e62fe37e809f0b8d635c8d5519b3d0fdaf11ac0ddda7eb03eade164d45cc35422dfc03aeaf579c9c3183f9f2bda1b5664cd8a8744798926f2562212229d93865b024d63a44464ecf752bec417281109f4bd81e88022278f71ed3ea9613a7fa72a03367f75443d3b1be5bd205d3efcaf4012d2c9a12831da57fc7fbaaf188e3bbe29826f0fea8944243a416946e734334a5d3b9f4740601708c82093e2114356d749e65f22d49de0f02653bb54aeb6a5f07a56e2cc63f1d6bb4d807f7e80eaf899fd5c34c2c9ff0474eb80e0308beebc2ac27a51ea5ec7d6d0d748f8e9f8b4daebe16da539cbfaffa08243cecef44e69356fe36ecfaab88b2577bd0395bc05d75a036126806a9c4158d42c8b08411d761fa40299f3f29027ad3905f963431829055f63ec94d88c97a5d07d30e49833a79db70bd8aa04e19a4e1b9ee98eb568d90bb6d622ecb73379e4d88873cbe1cafdd056f7f687ea7436eff8479af1a137d81d7bffc0c55a39910c28ce9584d1e23096ed103ae62c13685a435b220b482f2204991bf5d29caa3fa54df9e4f6898faa73752cf66b66295d0bc856c69fdcccc22575580c7ecee168800a798d1f0cc3453d01ceaf2f4972d3ae75baa95368f25c1793619e94d464fe94afcea0409ae267b8830d81d816c22d5930bec1f0f178cf0d138c6de4cb19a1c3f166a2ffae3369aa95d3f81198b6b130872a2a676bc89d4d936dba418748af08b37432c8ba760fa7ecb875eafff8afc449c078afdbfc2122275760dcc9dfa6b2e377cae657aeeb121556a53245fffc022e5fc18c847e799f65c6b91e7378ac1f4b2364f473910667ab97d6599619003639d39740282b417caca6c1f223f488ee9a6f9bff81164874a2c0b7da62f4dd08dedcec221f55b22e40e959a77e285e8d015328278fcd0a110e662dba2e74413ba6b7369fc9689089c3a2607d9c65b50ef1126b4dfb7473efd378c51b955a856eaef69312c1f9fce5d969adf4db6e95e7f1abb0a5532311d1c3c285d9718f0dbe1bb9b25324c43ed0fa631735c6a5101e19fcf1f36cea40cc5efc48796d4e153a20f2fcb21fa91b8e8f46d7d27604b9cb77fba031567f4fc6b4332c32461d0e092c908a0f3d9d44d1452a9461273e9105b8d0d53c26854ac5ba68814c31a67de579a16298e29358fec08bd7cfe3e505674705a0fe34b7bbc9a8e089bbb4d0fe401b09095a571eb9996a86085edb2bdbcb165d985203ee8ce6a9b225d5db24a26415cdec4b3d3f2a92bae7112c9f884d863bd7d7baa0a71529f195b0025d57b9d65089a8778bf221e90e9b59caad02ab72a0a0edcfe2451c7339d42c603048c0f89276da6576647c4421ba0db0f9e701d59dcfcd3b50f4d245897692f27fec9e9375cd0e895ac2c3e7ff17f18da7a7f8cd3a82d5d92596c5619eee4bac0fdc7733bafcd578309deed9396782e40a9a6106f0b3168e723de077c55876cab07685fa48174b310e52b26151a8fb8a8e6dce397b3a7c051b70a574e34096b70fc98e4e84b2cad3fbac00bb4430aa26f4dbd3a795715b0fc7feffdb04c0384838d983ccd1bc239dcce2b37ee77f85d7fefb9afbcc6f1d58a92d07c390e6b912c3b00a019dd0d6e5bba00e8ee7818e004ee42ca507102b094dff50a05e56f5415d31daa5e4542f321c858e28fe8fe5d05c87a065f8e72adef8b5077da2c73b518f4d0ea72dc3872f351250034aa9155756dd3daa5242f9eafaf61f9f492f1e798de8701e6f4980be369975fdfa79bcb702d0c13aa0a221055f61be5c6a92a12b5cd7db205d72039f58d302b0be9d5ofb2f6ddf907935b2594d2831ddab38cf57a1729ceIntel Core i5-2500K @ 3.30GHz (4 Cores)Intel BLH6710H.86A.0075.2010.1112.1844Intel Sandy Bridge2 x 1024 MB60GB OCZ VERTEX2Intel Sandy Bridge IGPRealtek ALC892DELL P2210HUbuntu 10.102.6.39-999-generic (x86_64)GNOME 2.32.0X Server 1.9.0intel 2.14.9032.1 Mesa 7.11-devel (git-f703ba8)GCC 4.4.5ext41920x10802.1 Mesa 7.11-devel (git-847f991)2.1 Mesa 7.11-devel (git-2432ca1)2.1 Mesa 7.11-devel (git-a7fa203)2.1 Mesa 7.11-devel (git-7e809f0)2.1 Mesa 7.11-devel (git-03eade1)2.1 Mesa 7.11-devel (git-f2bda1b)2.1 Mesa 7.11-devel (git-65b024d)2.1 Mesa 7.11-devel (git-8802227)2.1 Mesa 7.11-devel (git-b1be5bd)2.1 Mesa 7.11-devel (git-aaf188e)2.1 Mesa 7.11-devel (git-34a5d3b)2.1 Mesa 7.11-devel (git-f22d49d)2.1 Mesa 7.11-devel (git-6bb4d80)2.1 Mesa 7.11-devel (git-0308bee)2.1 Mesa 7.11-devel (git-aebe16d)2.1 Mesa 7.11-devel (git-ecfaab8)2.1 Mesa 7.11-devel (git-158d42c)2.1 Mesa 7.11-devel (git-9634318)2.1 Mesa 7.11-devel (git-79db70b)2.1 Mesa 7.11-devel (git-2ecb733)2.1 Mesa 7.11-devel (git-6eff847)2.1 Mesa 7.11-devel (git-584d1e2)2.1 Mesa 7.11-devel (git-204991b)2.1 Mesa 7.11-devel (git-66b6629)2.1 Mesa 7.11-devel (git-8800a79)2.1 Mesa 7.11-devel (git-95368f2)2.1 Mesa 7.11-devel (git-7b8830d)2.1 Mesa 7.11-devel (git-de4cb19)2.1 Mesa 7.11-devel (git-130872a)2.1 Mesa 7.11-devel (git-2c8ba76)2.1 Mesa 7.11-devel (git-1222757)2.1 Mesa 7.11-devel (git-53245ff)2.1 Mesa 7.11-devel (git-c1f4b23)2.1 Mesa 7.11-devel (git-740282b)2.1 Mesa 7.11-devel (git-874a2c0)2.1 Mesa 7.11-devel (git-9a77e28)2.1 Mesa 7.11-devel (git-13ba6b7)2.1 Mesa 7.11-devel (git-b4dfb74)2.1 Mesa 7.11-devel (git-ce5d969)2.1 Mesa 7.11-devel (git-5d9718f)2.1 Mesa 7.11-devel (git-01e19fc)2.1 Mesa 7.11-devel (git-461273e)2.1 Mesa 7.11-devel (git-de579a1)2.1 Mesa 7.11-devel2.1 Mesa 7.10.2OpenBenchmarking.orgSystem Details- Intel SpeedStep was enabled.

intel-massiveopenarena: 800 x 600openarena: 1024 x 768openarena: 1280 x 1024openarena: 1920 x 1080nexuiz: 800 x 600 - No - Offnexuiz: 1024 x 768 - No - Offnexuiz: 1280 x 1024 - No - Offpadman: 800 x 600padman: 1280 x 1024warsow: 800 x 600warsow: 1024 x 768warsow: 1920 x 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.57122.6784.9760.0748.4434.7724.50183.40103.8795.9096.2036.80165.83120.2384.506048.4834.4024.47182.73103.3394.7371.6036.93167.43121.8784.3059.9048.3434.7024.46184.8091.4394.7371.0336.93167.87121.4084.1059.9048.3734.6924.46181.83103.17165.50121.5384.2759.8748.3934.6024.43180.83102.90165.03120.6784.1759.7748.3834.7024.45181.97103.30165.23121.1784.3759.8748.2534.6224.48182.93103.23168.57121.7384.5060.0048.4134.6824.44181.57102.77169.57121.6084.3059.8048.3634.6224.45184.13102.83165.53121.4084.2759.8048.4134.7124.43185.30103.33166.73121.1384.4059.8048.4434.7124.44183.70103.13166.47121.9384.3759.9348.4134.6624.43182.70102.87167.43120.8784.4359.8348.4134.6824.41180.07103.20166.97121.8784.3759.9048.4534.6624.44182.23103.20166.40121.3084.4359.7748.4034.7424.44183.17102.97167.13121.2384.4059.9048.3434.7324.46184.87103.17168.43121.8084.3759.9348.3234.6324.42183.60103.00167.27121.4784.3759.7048.2234.7124.45184.80103.17164.90121.1384.4759.8348.4134.6924.46183.00103.07167.33121.6784.4359.7348.4534.5824.43182.03103.17167.17121.7384.4059.8748.3934.7724.46185.23103.13166.80121.8084.3759.7748.2334.7024.45183.43103165.37121.2384.2759.7748.3834.6824.42181.90103.07166.80121.8784.4359.8048.3534.7124.48183.60103.10166.33121.4084.3059.7748.3634.6524.44182.80103.10167.43121.1384.5359.8048.4234.7124.42183.80103.00167.33121.6784.2759.8348.3734.6624.46183.97102.97172.20124.1785.4760.3348.8635.1124.57186.80104.33171.33123.2784.9360.2048.5834.9824.58162.15102.33172.37123.1784.9359.9748.5834.8624.56186.57104.30172.23123.1784.7760.1048.6534.9024.58187.23104.10170.63123.0384.9760.0748.6534.9024.56186.70104.27171.47122.8084.7359.9048.5834.9424.56186.37104.53171.17122.6384.8059.9048.6334.8224.55185.33104.40170.77122.4084.7760.0348.6234.9424.56185.90104.47172.07123.1784.9060.1048.6734.8924.56187.03103.90173.13123.2085.0760.1748.5234.9224.57187.20104.57172.03122.8784.9060.1048.5634.9424.58187.83104.30172.50123.4084.8760.1048.6334.9024.53187.87104.40172.57123.3785.0360.1048.5934.9024.54187.93103.97172.87124.0785.6060.4748.8535.0224.65187.77103.33172.37123.4785.2360.3348.7734.9824.60188.23104.63173.53123.6385.0760.3048.7134.9224.58185.53104.50172.13123.708560.1748.6934.8824.59188.97104.70171.27124.0785.0760.2048.6734.9124.56186.83104.30173.03123.2084.8760.1748.6634.9324.58187.37104.10172.57123.4084.9360.1748.5734.9124.58187.50104.37171.43123.5784.6760.0348.5334.9524.58183.60104.30172.10123.4084.7760.1048.5634.9224.57185.93104.33172.47123.3384.9060.1048.5534.8724.56184.57104.00171.27123.2784.9760.1348.6534.9324.55185.03104.10171.27122.7384.7359.8748.6034.8724.57183.00104.40172.07123.3084.8060.1348.5534.9524.52186.17104.30172.13122.9384.8760.0048.5734.9324.58184.03104.60172.40123.3084.8060.1348.6934.9424.56185.73103.80171.40123.5384.9760.1748.5634.9424.55184.53103.97171.20123.3385.0360.1348.6534.9524.55184.70103.93171.90123.3384.9060.1048.5434.9124.54186.50103.93171.67123.5784.9360.2348.6934.9424.56187.00104.00170.77123.3084.9360.1348.5634.9424.57185.67104.07172.47123.8385.5360.4748.8435.0724.65187.37104.50173.27123.8385.2760.3348.8135.0124.66186.80104.57333310.167.385.01333310.177.395.02333310.177.405.03333310.177.405.03333310.177.405.03333310.177.405.03333310.177.405.03333310.177.405.03OpenBenchmarking.org

OpenArena

Resolution: 800 x 600

OpenBenchmarking.orgFrames Per Second, More Is BetterOpenArena 0.8.5Resolution: 800 x 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 +/- 0.48, N = 3SE +/- 0.72, N = 3SE +/- 0.67, N = 3SE +/- 0.58, N = 3SE +/- 0.67, N = 3SE +/- 1.14, N = 3SE +/- 0.44, N = 3SE +/- 0.55, N = 3SE +/- 0.53, N = 3SE +/- 0.24, N = 3SE +/- 0.39, N = 3SE +/- 0.82, N = 3SE +/- 0.29, N = 3SE +/- 0.17, N = 3SE +/- 0.30, N = 3SE +/- 0.49, N = 3SE +/- 0.32, N = 3SE +/- 0.55, N = 3SE +/- 0.58, N = 3SE +/- 0.23, N = 3SE +/- 0.63, N = 3SE +/- 0.41, N = 3SE +/- 1.39, N = 3SE +/- 0.75, N = 3SE +/- 0.55, N = 3SE +/- 0.62, N = 3SE +/- 0.70, N = 3SE +/- 0.26, N = 3SE +/- 0.09, N = 3SE +/- 0.79, N = 3SE +/- 0.62, N = 3SE +/- 0.31, N = 3SE +/- 0.44, N = 3SE +/- 1.01, N = 3SE +/- 0.60, N = 3SE +/- 0.76, N = 3SE +/- 1.84, N = 3SE +/- 0.52, N = 3SE +/- 1.96, N = 3SE +/- 0.92, N = 3SE +/- 0.44, N = 3SE +/- 1.39, N = 3SE +/- 1.18, N = 3SE +/- 1.37, N = 3SE +/- 0.95, N = 3SE +/- 1.62, N = 3SE +/- 0.33, N = 3SE +/- 0.68, N = 3SE +/- 1.68, N = 3SE +/- 0.42, N = 3SE +/- 1.30, N = 3SE +/- 1.07, N = 3SE +/- 1.23, N = 3SE +/- 0.70, N = 3SE +/- 0.48, N = 3SE +/- 0.52, N = 3SE +/- 0.58, N = 3SE +/- 0.85, N = 3SE +/- 1.19, N = 3SE +/- 1.11, N = 3SE +/- 0.90, N = 3SE +/- 0.67, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3174.57173.53173.27173.13173.03172.87172.57172.57172.50172.47172.47172.40172.37172.37172.23172.20172.13172.13172.10172.07172.07172.03171.90171.67171.47171.43171.40171.33171.27171.27171.27171.20171.17170.77170.77170.63169.57168.57168.43167.87167.43167.43167.43167.33167.33167.27167.17167.13166.97166.80166.80166.73166.47166.40166.33165.83165.53165.50165.37165.23165.03164.903.003.003.003.003.003.003.003.00

OpenArena

Resolution: 1024 x 768

OpenBenchmarking.orgFrames Per Second, More Is BetterOpenArena 0.8.5Resolution: 1024 x 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 +/- 0.15, N = 3SE +/- 0.18, N = 3SE +/- 0.13, N = 3SE +/- 0.07, N = 3SE +/- 0.38, N = 3SE +/- 0.29, N = 3SE +/- 0.07, N = 3SE +/- 0.18, N = 3SE +/- 0.33, N = 3SE +/- 0.12, N = 3SE +/- 0.22, N = 3SE +/- 0.15, N = 3SE +/- 0.21, N = 3SE +/- 0.21, N = 3SE +/- 0.22, N = 3SE +/- 0.20, N = 3SE +/- 0.22, N = 3SE +/- 0.19, N = 3SE +/- 0.23, N = 3SE +/- 0.21, N = 3SE +/- 0.35, N = 3SE +/- 0.35, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 3SE +/- 0.15, N = 3SE +/- 0.28, N = 3SE +/- 0.22, N = 3SE +/- 0.18, N = 3SE +/- 0.48, N = 3SE +/- 0.26, N = 3SE +/- 0.10, N = 3SE +/- 0.22, N = 3SE +/- 0.38, N = 3SE +/- 0.12, N = 3SE +/- 0.38, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.52, N = 3SE +/- 0.18, N = 3SE +/- 0.26, N = 3SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.09, N = 3SE +/- 0.35, N = 3SE +/- 0.18, N = 3SE +/- 0.32, N = 3SE +/- 0.19, N = 3SE +/- 0.45, N = 3SE +/- 0.42, N = 3SE +/- 0.15, N = 3SE +/- 0.44, N = 3SE +/- 0.21, N = 3SE +/- 0.18, N = 3SE +/- 0.12, N = 3SE +/- 0.57, N = 3SE +/- 0.41, N = 3SE +/- 0.64, N = 3SE +/- 0.12, N = 3SE +/- 0.54, N = 3SE +/- 0.22, N = 3SE +/- 0.73, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3124.17124.07124.07123.83123.83123.70123.63123.57123.57123.53123.47123.40123.40123.40123.37123.33123.33123.33123.30123.30123.30123.27123.27123.20123.20123.17123.17123.17123.03122.93122.87122.80122.73122.67122.63122.40121.93121.87121.87121.87121.80121.80121.73121.73121.67121.67121.60121.53121.47121.40121.40121.40121.30121.23121.23121.17121.13121.13121.13120.87120.67120.233.003.003.003.003.003.003.003.00

OpenArena

Resolution: 1280 x 1024

OpenBenchmarking.orgFrames Per Second, More Is BetterOpenArena 0.8.5Resolution: 1280 x 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 +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.18, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.20, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.20, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 385.6085.5385.4785.2785.2385.0785.0785.0785.0385.0385.0084.9784.9784.9784.9784.9384.9384.9384.9384.9384.9084.9084.9084.9084.8784.8784.8784.8084.8084.8084.7784.7784.7784.7384.7384.6784.5384.5084.5084.4784.4384.4384.4384.4384.4084.4084.4084.3784.3784.3784.3784.3784.3784.3084.3084.3084.2784.2784.2784.2784.1784.103.003.003.003.003.003.003.003.00

OpenArena

Resolution: 1920 x 1080

OpenBenchmarking.orgFrames Per Second, More Is BetterOpenArena 0.8.5Resolution: 1920 x 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 +/- 0.12, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.00, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 360.4760.4760.3360.3360.3360.3060.2360.2060.2060.1760.1760.1760.1760.1760.1360.1360.1360.1360.1360.1060.1060.1060.1060.1060.1060.1060.1060.0760.0760.0360.0360.0060.0060.0059.9759.9359.9359.9059.9059.9059.9059.9059.9059.8759.8759.8759.8759.8359.8359.8359.8059.8059.8059.8059.8059.7759.7759.7759.7759.7759.7359.703.003.003.003.003.003.003.003.00

Nexuiz

Resolution: 800 x 600 - HDR: No - Sound: Off

OpenBenchmarking.orgFrames Per Second, More Is BetterNexuiz 2.5.2Resolution: 800 x 600 - HDR: No - Sound: 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 +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 348.8648.8548.8448.8148.7748.7148.6948.6948.6948.6748.6748.6648.6548.6548.6548.6548.6348.6348.6248.6048.5948.5848.5848.5848.5748.5748.5648.5648.5648.5648.5548.5548.5448.5348.5248.4848.4548.4548.4448.4448.4248.4148.4148.4148.4148.4148.4048.3948.3948.3848.3848.3748.3748.3648.3648.3548.3448.3448.3248.2548.2348.2210.1710.1710.1710.1710.1710.1710.1710.16

Nexuiz

Resolution: 1024 x 768 - HDR: No - Sound: Off

OpenBenchmarking.orgFrames Per Second, More Is BetterNexuiz 2.5.2Resolution: 1024 x 768 - HDR: No - Sound: 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 +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 335.1135.0735.0235.0134.9834.9834.9534.9534.9534.9434.9434.9434.9434.9434.9434.9434.9334.9334.9334.9234.9234.9234.9134.9134.9134.9034.9034.9034.9034.8934.8834.8734.8734.8634.8234.7734.7734.7434.7334.7134.7134.7134.7134.7134.7034.7034.7034.6934.6934.6834.6834.6834.6634.6634.6634.6534.6334.6234.6234.6034.5834.407.407.407.407.407.407.407.397.38

Nexuiz

Resolution: 1280 x 1024 - HDR: No - Sound: Off

OpenBenchmarking.orgFrames Per Second, More Is BetterNexuiz 2.5.2Resolution: 1280 x 1024 - HDR: No - Sound: 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 +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 324.6624.6524.6524.6024.5924.5824.5824.5824.5824.5824.5824.5824.5824.5724.5724.5724.5724.5724.5624.5624.5624.5624.5624.5624.5624.5624.5624.5524.5524.5524.5524.5424.5424.5324.5224.5024.4824.4824.4724.4624.4624.4624.4624.4624.4624.4524.4524.4524.4524.4424.4424.4424.4424.4424.4324.4324.4324.4324.4224.4224.4224.415.035.035.035.035.035.035.025.01

World of Padman

Resolution: 800 x 600

OpenBenchmarking.orgFrames Per Second, More Is BetterWorld of Padman 1.2Resolution: 800 x 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 +/- 0.77, N = 3SE +/- 1.16, N = 3SE +/- 1.03, N = 3SE +/- 1.07, N = 3SE +/- 1.43, N = 3SE +/- 0.58, N = 3SE +/- 0.59, N = 3SE +/- 0.68, N = 3SE +/- 0.30, N = 3SE +/- 1.41, N = 3SE +/- 0.10, N = 3SE +/- 1.73, N = 3SE +/- 1.29, N = 3SE +/- 1.70, N = 3SE +/- 0.45, N = 3SE +/- 0.10, N = 3SE +/- 0.29, N = 3SE +/- 1.12, N = 3SE +/- 0.46, N = 3SE +/- 0.52, N = 3SE +/- 0.82, N = 3SE +/- 0.90, N = 3SE +/- 0.40, N = 3SE +/- 0.53, N = 3SE +/- 0.74, N = 3SE +/- 1.93, N = 3SE +/- 0.38, N = 3SE +/- 0.53, N = 3SE +/- 0.92, N = 3SE +/- 0.83, N = 3SE +/- 1.04, N = 3SE +/- 0.38, N = 3SE +/- 1.30, N = 3SE +/- 0.25, N = 3SE +/- 0.90, N = 3SE +/- 0.42, N = 3SE +/- 1.49, N = 3SE +/- 0.23, N = 3SE +/- 0.95, N = 3SE +/- 0.74, N = 3SE +/- 1.36, N = 3SE +/- 1.08, N = 3SE +/- 0.86, N = 3SE +/- 1.51, N = 3SE +/- 1.19, N = 3SE +/- 1.01, N = 3SE +/- 1.07, N = 3SE +/- 0.59, N = 3SE +/- 0.50, N = 3SE +/- 0.52, N = 3SE +/- 1.47, N = 3SE +/- 1.84, N = 3SE +/- 0.86, N = 3SE +/- 1.19, N = 3SE +/- 1.30, N = 3SE +/- 1.19, N = 3SE +/- 0.32, N = 3SE +/- 0.38, N = 3SE +/- 1.04, N = 3SE +/- 0.93, N = 3SE +/- 0.91, N = 3SE +/- 25.92, N = 6188.97188.23187.93187.87187.83187.77187.50187.37187.37187.23187.20187.03187.00186.83186.80186.80186.70186.57186.50186.37186.17185.93185.90185.73185.67185.53185.33185.30185.23185.03184.87184.80184.80184.70184.57184.53184.13184.03183.97183.80183.70183.60183.60183.60183.43183.40183.17183.00183.00182.93182.80182.73182.70182.23182.03181.97181.90181.83181.57180.83180.07162.15

World of Padman

Resolution: 1280 x 1024

OpenBenchmarking.orgFrames Per Second, More Is BetterWorld of Padman 1.2Resolution: 1280 x 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 +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.19, N = 3SE +/- 0.03, N = 3SE +/- 0.21, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 3SE +/- 0.21, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.21, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 1.32, N = 3SE +/- 0.23, N = 3SE +/- 0.07, N = 3SE +/- 0.20, N = 3SE +/- 0.15, N = 3SE +/- 0.21, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.32, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.24, N = 3SE +/- 0.28, N = 3SE +/- 0.21, N = 3SE +/- 0.34, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 1.87, N = 3SE +/- 11.93, N = 6104.70104.63104.60104.57104.57104.53104.50104.50104.47104.40104.40104.40104.37104.33104.33104.30104.30104.30104.30104.30104.27104.10104.10104.10104.07104.00104.00103.97103.97103.93103.93103.90103.87103.80103.33103.33103.33103.30103.23103.20103.20103.17103.17103.17103.17103.13103.13103.10103.10103.07103.07103.00103.00103.00102.97102.97102.90102.87102.83102.77102.3391.43

Warsow

Resolution: 800 x 600

OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 0.5Resolution: 800 x 600f703ba8c42e924ee6d5e4308c3888e434d8ba98c2432ca1c2e205100d48070305ba2d5f8978bce03847f991a87b9549eb89a521edb7cd149005006bb20406080100SE +/- 0.30, N = 3SE +/- 0.22, N = 3SE +/- 0.26, N = 395.9094.7394.73

Warsow

Resolution: 1024 x 768

OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 0.5Resolution: 1024 x 768f703ba8c42e924ee6d5e4308c3888e434d8ba98c847f991a87b9549eb89a521edb7cd149005006bb2432ca1c2e205100d48070305ba2d5f8978bce0320406080100SE +/- 0.00, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 396.2071.6071.03

Warsow

Resolution: 1920 x 1080

OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 0.5Resolution: 1920 x 10802432ca1c2e205100d48070305ba2d5f8978bce03847f991a87b9549eb89a521edb7cd149005006bbf703ba8c42e924ee6d5e4308c3888e434d8ba98c816243240SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 336.9336.9336.80

Phoronix Test Suite v10.8.4