AMD Ryzen 7 7840U testing with a Framework Laptop 13 (AMD Ryzen 7040 ) FRANMDCP07 (03.03 BIOS) and GFX1103_R1 512MB on Ubuntu 22.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2406074-NE-PYPERFRYZ26
{
"title": "pyperf ryzen zen 4",
"last_modified": "2024-06-07 19:26:01",
"description": "AMD Ryzen 7 7840U testing with a Framework Laptop 13 (AMD Ryzen 7040 ) FRANMDCP07 (03.03 BIOS) and GFX1103_R1 512MB on Ubuntu 22.04 via the Phoronix Test Suite.",
"systems": {
"a": {
"identifier": "a",
"hardware": {
"Processor": "AMD Ryzen 7 7840U @ 5.13GHz (8 Cores \/ 16 Threads)",
"Motherboard": "Framework Laptop 13 (AMD Ryzen 7040 ) FRANMDCP07 (03.03 BIOS)",
"Chipset": "AMD Device 14e8",
"Memory": "2 x 8GB DRAM-5600MT\/s A-DATA AD5S56008G-B",
"Disk": "512GB Western Digital WD PC SN740 SDDPNQD-512G",
"Graphics": "GFX1103_R1 512MB (2700\/2800MHz)",
"Audio": "AMD Device 1640",
"Network": "MEDIATEK Device 0616"
},
"software": {
"OS": "Ubuntu 22.04",
"Kernel": "6.5.0-35-generic (x86_64)",
"Desktop": "GNOME Shell 42.9",
"Display Server": "X Server + Wayland",
"OpenGL": "4.6 Mesa 23.2.1-1ubuntu3.1~22.04.2 (LLVM 15.0.7 DRM 3.54)",
"Vulkan": "1.3.255",
"Compiler": "GCC 11.4.0",
"File-System": "ext4",
"Screen Resolution": "2256x1504"
},
"user": "phoronix",
"timestamp": "2024-06-07 17:46:40",
"client_version": "10.8.5",
"data": {
"cpu-scaling-governor": "amd-pstate-epp powersave (EPP: performance)",
"cpu-microcode": "0xa704103",
"cpu-pm": "ACPI Profile: balanced",
"platform-profile": "balanced",
"kernel-extra-details": "Transparent Huge Pages: madvise",
"python": "Python 3.10.12",
"security": "gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Vulnerable: Safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy\/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced \/ Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected"
}
},
"b": {
"identifier": "b",
"hardware": {
"Processor": "AMD Ryzen 7 7840U @ 5.13GHz (8 Cores \/ 16 Threads)",
"Motherboard": "Framework Laptop 13 (AMD Ryzen 7040 ) FRANMDCP07 (03.03 BIOS)",
"Chipset": "AMD Device 14e8",
"Memory": "2 x 8GB DRAM-5600MT\/s A-DATA AD5S56008G-B",
"Disk": "512GB Western Digital WD PC SN740 SDDPNQD-512G",
"Graphics": "GFX1103_R1 512MB (2700\/2800MHz)",
"Audio": "AMD Device 1640",
"Network": "MEDIATEK Device 0616"
},
"software": {
"OS": "Ubuntu 22.04",
"Kernel": "6.5.0-35-generic (x86_64)",
"Desktop": "GNOME Shell 42.9",
"Display Server": "X Server + Wayland",
"OpenGL": "4.6 Mesa 23.2.1-1ubuntu3.1~22.04.2 (LLVM 15.0.7 DRM 3.54)",
"Vulkan": "1.3.255",
"Compiler": "GCC 11.4.0",
"File-System": "ext4",
"Screen Resolution": "2256x1504"
},
"user": "phoronix",
"timestamp": "2024-06-07 18:09:41",
"client_version": "10.8.5",
"data": {
"cpu-scaling-governor": "amd-pstate-epp powersave (EPP: performance)",
"cpu-microcode": "0xa704103",
"cpu-pm": "ACPI Profile: balanced",
"platform-profile": "balanced",
"kernel-extra-details": "Transparent Huge Pages: madvise",
"python": "Python 3.10.12",
"security": "gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Vulnerable: Safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy\/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced \/ Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected"
}
},
"c": {
"identifier": "c",
"hardware": {
"Processor": "AMD Ryzen 7 7840U @ 5.13GHz (8 Cores \/ 16 Threads)",
"Motherboard": "Framework Laptop 13 (AMD Ryzen 7040 ) FRANMDCP07 (03.03 BIOS)",
"Chipset": "AMD Device 14e8",
"Memory": "2 x 8GB DRAM-5600MT\/s A-DATA AD5S56008G-B",
"Disk": "512GB Western Digital WD PC SN740 SDDPNQD-512G",
"Graphics": "GFX1103_R1 512MB (2700\/2800MHz)",
"Audio": "AMD Device 1640",
"Network": "MEDIATEK Device 0616"
},
"software": {
"OS": "Ubuntu 22.04",
"Kernel": "6.5.0-35-generic (x86_64)",
"Desktop": "GNOME Shell 42.9",
"Display Server": "X Server + Wayland",
"OpenGL": "4.6 Mesa 23.2.1-1ubuntu3.1~22.04.2 (LLVM 15.0.7 DRM 3.54)",
"Vulkan": "1.3.255",
"Compiler": "GCC 11.4.0",
"File-System": "ext4",
"Screen Resolution": "2256x1504"
},
"user": "phoronix",
"timestamp": "2024-06-07 19:03:20",
"client_version": "10.8.5",
"data": {
"cpu-scaling-governor": "amd-pstate-epp powersave (EPP: performance)",
"cpu-microcode": "0xa704103",
"cpu-pm": "ACPI Profile: balanced",
"platform-profile": "balanced",
"kernel-extra-details": "Transparent Huge Pages: madvise",
"python": "Python 3.10.12",
"security": "gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Vulnerable: Safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy\/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced \/ Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected"
}
}
},
"results": {
"8e54149cae871822c540fce771198afdd867f2cd": {
"identifier": "pts\/pyperformance-1.1.0",
"title": "PyPerformance",
"app_version": "1.11",
"arguments": "go",
"description": "Benchmark: go",
"scale": "Milliseconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 141,
"test_run_times": [
30.28999999999999914734871708787977695465087890625
]
},
"b": {
"value": 142,
"test_run_times": [
25.980000000000000426325641456060111522674560546875
]
},
"c": {
"value": 140,
"test_run_times": [
25.620000000000000994759830064140260219573974609375
]
}
}
},
"7335793071957d07255d699f4f3c0099f1898c0e": {
"identifier": "pts\/pyperformance-1.1.0",
"title": "PyPerformance",
"app_version": "1.11",
"arguments": "chaos",
"description": "Benchmark: chaos",
"scale": "Milliseconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 59.7999999999999971578290569595992565155029296875,
"test_run_times": [
22.8299999999999982946974341757595539093017578125
]
},
"b": {
"value": 60,
"test_run_times": [
22.9200000000000017053025658242404460906982421875
]
},
"c": {
"value": 59.10000000000000142108547152020037174224853515625,
"test_run_times": [
22.620000000000000994759830064140260219573974609375
]
}
}
},
"a010addc128aa1b839588ba22870f29cd575098c": {
"identifier": "pts\/pyperformance-1.1.0",
"title": "PyPerformance",
"app_version": "1.11",
"arguments": "float",
"description": "Benchmark: float",
"scale": "Milliseconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 68.7000000000000028421709430404007434844970703125,
"test_run_times": [
25.280000000000001136868377216160297393798828125
]
},
"b": {
"value": 69.599999999999994315658113919198513031005859375,
"test_run_times": [
25.699999999999999289457264239899814128875732421875
]
},
"c": {
"value": 69.7000000000000028421709430404007434844970703125,
"test_run_times": [
25.6700000000000017053025658242404460906982421875
]
}
}
},
"8ea1ba090e2b4b3ffdec347c7ad08cab02241e48": {
"identifier": "pts\/pyperformance-1.1.0",
"title": "PyPerformance",
"app_version": "1.11",
"arguments": "nbody",
"description": "Benchmark: nbody",
"scale": "Milliseconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 88.099999999999994315658113919198513031005859375,
"test_run_times": [
31.589999999999999857891452847979962825775146484375
]
},
"b": {
"value": 91.7999999999999971578290569595992565155029296875,
"test_run_times": [
32.35000000000000142108547152020037174224853515625
]
},
"c": {
"value": 89.599999999999994315658113919198513031005859375,
"test_run_times": [
32.0499999999999971578290569595992565155029296875
]
}
}
},
"f131631a6f5bce6c33f58771370cebb627ed265f": {
"identifier": "pts\/pyperformance-1.1.0",
"title": "PyPerformance",
"app_version": "1.11",
"arguments": "pathlib",
"description": "Benchmark: pathlib",
"scale": "Milliseconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 16.89999999999999857891452847979962825775146484375,
"test_run_times": [
29.230000000000000426325641456060111522674560546875
]
},
"b": {
"value": 16.800000000000000710542735760100185871124267578125,
"test_run_times": [
29.239999999999998436805981327779591083526611328125
]
},
"c": {
"value": 16.89999999999999857891452847979962825775146484375,
"test_run_times": [
29.3299999999999982946974341757595539093017578125
]
}
}
},
"e6db5474ed4e0687dbd1a99272562f9b012d5a80": {
"identifier": "pts\/pyperformance-1.1.0",
"title": "PyPerformance",
"app_version": "1.11",
"arguments": "raytrace",
"description": "Benchmark: raytrace",
"scale": "Milliseconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 294,
"test_run_times": [
50.81000000000000227373675443232059478759765625
]
},
"b": {
"value": 282,
"test_run_times": [
48.909999999999996589394868351519107818603515625
]
},
"c": {
"value": 285,
"test_run_times": [
49.36999999999999744204615126363933086395263671875
]
}
}
},
"4f93eaaf2ecdc7e3dc3242bfd74b0b96881fd77d": {
"identifier": "pts\/pyperformance-1.1.0",
"title": "PyPerformance",
"app_version": "1.11",
"arguments": "xml_etree",
"description": "Benchmark: xml_etree",
"scale": "Milliseconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 44.7999999999999971578290569595992565155029296875,
"test_run_times": [
108.0799999999999982946974341757595539093017578125
]
},
"b": {
"value": 44.7000000000000028421709430404007434844970703125,
"test_run_times": [
107.6700000000000017053025658242404460906982421875
]
},
"c": {
"value": 45,
"test_run_times": [
108
]
}
}
},
"6777804a1ab8a5ac846ad9aa744b8e3823a402a9": {
"identifier": "pts\/pyperformance-1.1.0",
"title": "PyPerformance",
"app_version": "1.11",
"arguments": "gc_collect",
"description": "Benchmark: gc_collect",
"scale": "Milliseconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 873,
"test_run_times": [
42.63000000000000255795384873636066913604736328125
]
},
"b": {
"value": 868,
"test_run_times": [
42.46000000000000085265128291212022304534912109375
]
},
"c": {
"value": 853,
"test_run_times": [
41.92999999999999971578290569595992565155029296875
]
}
}
},
"ce90dc03d653d5df8fc677cb223172fc5f66c3e5": {
"identifier": "pts\/pyperformance-1.1.0",
"title": "PyPerformance",
"app_version": "1.11",
"arguments": "json_loads",
"description": "Benchmark: json_loads",
"scale": "Milliseconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 13.0999999999999996447286321199499070644378662109375,
"test_run_times": [
24.67999999999999971578290569595992565155029296875
]
},
"b": {
"value": 13.0999999999999996447286321199499070644378662109375,
"test_run_times": [
24.67999999999999971578290569595992565155029296875
]
},
"c": {
"value": 13.0999999999999996447286321199499070644378662109375,
"test_run_times": [
24.71000000000000085265128291212022304534912109375
]
}
}
},
"40900699403b529c1f8b60d9afd1a8633688b0a4": {
"identifier": "pts\/pyperformance-1.1.0",
"title": "PyPerformance",
"app_version": "1.11",
"arguments": "crypto_pyaes",
"description": "Benchmark: crypto_pyaes",
"scale": "Milliseconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 69.400000000000005684341886080801486968994140625,
"test_run_times": [
26.010000000000001563194018672220408916473388671875
]
},
"b": {
"value": 68.5,
"test_run_times": [
25.120000000000000994759830064140260219573974609375
]
},
"c": {
"value": 68.900000000000005684341886080801486968994140625,
"test_run_times": [
25.239999999999998436805981327779591083526611328125
]
}
}
},
"28e75d0b95e4f5c4939aa698af07651905147fce": {
"identifier": "pts\/pyperformance-1.1.0",
"title": "PyPerformance",
"app_version": "1.11",
"arguments": "async_tree_io",
"description": "Benchmark: async_tree_io",
"scale": "Milliseconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 1.350000000000000088817841970012523233890533447265625,
"test_run_times": [
224.849999999999994315658113919198513031005859375
]
},
"b": {
"value": 1.350000000000000088817841970012523233890533447265625,
"test_run_times": [
224.669999999999987494447850622236728668212890625
]
},
"c": {
"value": 1.3400000000000000799360577730112709105014801025390625,
"test_run_times": [
223.469999999999998863131622783839702606201171875
]
}
}
},
"d3494732a8c184c2a2f8025d30b30ed7b9acb82b": {
"identifier": "pts\/pyperformance-1.1.0",
"title": "PyPerformance",
"app_version": "1.11",
"arguments": "regex_compile",
"description": "Benchmark: regex_compile",
"scale": "Milliseconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 91.599999999999994315658113919198513031005859375,
"test_run_times": [
34.74000000000000198951966012828052043914794921875
]
},
"b": {
"value": 91.2000000000000028421709430404007434844970703125,
"test_run_times": [
34.6700000000000017053025658242404460906982421875
]
},
"c": {
"value": 91.599999999999994315658113919198513031005859375,
"test_run_times": [
34.75999999999999801048033987171947956085205078125
]
}
}
},
"c9dc822d810483d98b1d9f82c6b9b7caa2f85781": {
"identifier": "pts\/pyperformance-1.1.0",
"title": "PyPerformance",
"app_version": "1.11",
"arguments": "python_startup",
"description": "Benchmark: python_startup",
"scale": "Milliseconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 7.21999999999999975131004248396493494510650634765625,
"test_run_times": [
62.21000000000000085265128291212022304534912109375
]
},
"b": {
"value": 7.21999999999999975131004248396493494510650634765625,
"test_run_times": [
62.27000000000000312638803734444081783294677734375
]
},
"c": {
"value": 7.21999999999999975131004248396493494510650634765625,
"test_run_times": [
62.24000000000000198951966012828052043914794921875
]
}
}
},
"c227e51211c6fb5781f6cc2613ad98fbf9c1372b": {
"identifier": "pts\/pyperformance-1.1.0",
"title": "PyPerformance",
"app_version": "1.11",
"arguments": "asyncio_tcp_ssl",
"description": "Benchmark: asyncio_tcp_ssl",
"scale": "Milliseconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 2,
"test_run_times": [
341.990000000000009094947017729282379150390625
]
},
"b": {
"value": 1.9699999999999999733546474089962430298328399658203125,
"test_run_times": [
338.93000000000000682121026329696178436279296875
]
},
"c": {
"value": 1.979999999999999982236431605997495353221893310546875,
"test_run_times": [
340.240000000000009094947017729282379150390625
]
}
}
},
"742c1f5bd87334d40ae46d6d614f65a2214c9e4f": {
"identifier": "pts\/pyperformance-1.1.0",
"title": "PyPerformance",
"app_version": "1.11",
"arguments": "django_template",
"description": "Benchmark: django_template",
"scale": "Milliseconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 28.699999999999999289457264239899814128875732421875,
"test_run_times": [
30.489999999999998436805981327779591083526611328125
]
},
"b": {
"value": 28.699999999999999289457264239899814128875732421875,
"test_run_times": [
25.85000000000000142108547152020037174224853515625
]
},
"c": {
"value": 28.89999999999999857891452847979962825775146484375,
"test_run_times": [
26.019999999999999573674358543939888477325439453125
]
}
}
},
"70b0c5ad0e51943a8486eb9db37d4deb51837409": {
"identifier": "pts\/pyperformance-1.1.0",
"title": "PyPerformance",
"app_version": "1.11",
"arguments": "asyncio_websockets",
"description": "Benchmark: asyncio_websockets",
"scale": "Milliseconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 370,
"test_run_times": [
65.2999999999999971578290569595992565155029296875
]
},
"b": {
"value": 369,
"test_run_times": [
64.7300000000000039790393202565610408782958984375
]
},
"c": {
"value": 370,
"test_run_times": [
64.840000000000003410605131648480892181396484375
]
}
}
},
"2d2317a81314729200d594e343ed3c87d5999939": {
"identifier": "pts\/pyperformance-1.1.0",
"title": "PyPerformance",
"app_version": "1.11",
"arguments": "pickle_pure_python",
"description": "Benchmark: pickle_pure_python",
"scale": "Milliseconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 259,
"test_run_times": [
30
]
},
"b": {
"value": 261,
"test_run_times": [
30.300000000000000710542735760100185871124267578125
]
},
"c": {
"value": 261,
"test_run_times": [
30.25
]
}
}
}
}
}