AMD Ryzen Threadripper 7980X Linux 6.7 kernel benchmarks by Michael Larabel for a future article.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2311225-NE-LINUXKERN42
Linux Kernel Benchmarks Threadripper 7980X
AMD Ryzen Threadripper 7980X Linux 6.7 kernel benchmarks by Michael Larabel for a future article.
,,"Linux 6.5.11","Linux 6.6.1","Linux 6.7-rc2"
Processor,,AMD Ryzen Threadripper 7980X 64-Cores @ 8.21GHz (64 Cores / 128 Threads),AMD Ryzen Threadripper 7980X 64-Cores @ 8.21GHz (64 Cores / 128 Threads),AMD Ryzen Threadripper 7980X 64-Cores @ 8.21GHz (64 Cores / 128 Threads)
Motherboard,,ASUS Pro WS TRX50-SAGE WIFI (0217 BIOS),ASUS Pro WS TRX50-SAGE WIFI (0217 BIOS),ASUS Pro WS TRX50-SAGE WIFI (0217 BIOS)
Chipset,,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4
Memory,,128GB,128GB,128GB
Disk,,1000GB Western Digital WDS100T1X0E-00AFY0,1000GB Western Digital WDS100T1X0E-00AFY0,1000GB Western Digital WDS100T1X0E-00AFY0
Graphics,,AMD Radeon RX 7900 XT 20GB (2025/1249MHz),AMD Radeon RX 7900 XT 20GB (2025/1249MHz),AMD Radeon RX 7900 XT 20GB (2025/1249MHz)
Audio,,Realtek ALC1220,Realtek ALC1220,Realtek ALC1220
Monitor,,ASUS MG28U,ASUS MG28U,ASUS MG28U
Network,,Aquantia Device 04c0 + Intel I226-LM + MEDIATEK MT7922 802.11ax PCI,Aquantia Device 04c0 + Intel I226-LM + MEDIATEK MT7922 802.11ax PCI,Aquantia Device 04c0 + Intel I226-LM + MEDIATEK MT7922 802.11ax PCI
OS,,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10
Kernel,,6.5.11-060511-generic (x86_64),6.6.1-060601-generic (x86_64),6.7.0-060700rc2-generic (x86_64)
Desktop,,GNOME Shell 45.0,GNOME Shell 45.0,GNOME Shell 45.0
Display Server,,X Server 1.21.1.7 + Wayland,X Server 1.21.1.7 + Wayland,X Server 1.21.1.7 + Wayland
OpenGL,,4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54),4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54),4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.56)
Compiler,,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0
File-System,,ext4,ext4,ext4
Screen Resolution,,3840x2160,3840x2160,3840x2160
,,"Linux 6.5.11","Linux 6.6.1","Linux 6.7-rc2"
"OpenRadioss - Model: Chrysler Neon 1M (sec)",LIB,302.69,305.52,303.42
"TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,56.06,56.16,56.46
"TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,71.07,71.39,70.96
"TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,81.44,81.40,81.34
"TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,93.22,92.76,92.73
"NAS Parallel Benchmarks - Test / Class: BT.C (Mop/s)",HIB,127752.08,127915.76,128229.44
"NAS Parallel Benchmarks - Test / Class: CG.C (Mop/s)",HIB,25219.21,25780.31,25725.11
"NAS Parallel Benchmarks - Test / Class: EP.C (Mop/s)",HIB,7413.46,7943.36,8184.38
"NAS Parallel Benchmarks - Test / Class: EP.D (Mop/s)",HIB,9743.35,9991.90,9878.86
"NAS Parallel Benchmarks - Test / Class: FT.C (Mop/s)",HIB,54457.04,54460.14,54409.48
"NAS Parallel Benchmarks - Test / Class: IS.D (Mop/s)",HIB,2454.81,2488.02,2494.33
"NAS Parallel Benchmarks - Test / Class: LU.C (Mop/s)",HIB,151244.69,152852.83,153052.36
"NAS Parallel Benchmarks - Test / Class: MG.C (Mop/s)",HIB,51405.13,52021.31,52076.68
"NAS Parallel Benchmarks - Test / Class: SP.B (Mop/s)",HIB,96376.55,97720.71,96716.42
"NAS Parallel Benchmarks - Test / Class: SP.C (Mop/s)",HIB,45105.92,45157.01,45258.93
"Rodinia - Test: OpenMP LavaMD (sec)",LIB,29.814,29.477,29.921
"Rodinia - Test: OpenMP HotSpot3D (sec)",LIB,55.513,55.079,56.359
"Rodinia - Test: OpenMP Leukocyte (sec)",LIB,26.116,26.637,26.561
"Rodinia - Test: OpenMP CFD Solver (sec)",LIB,5.590,5.065,5.032
"Rodinia - Test: OpenMP Streamcluster (sec)",LIB,4.142,4.131,4.129
"NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,0.26522,0.26599,0.26460
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,43.48,43.31,43.39
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,733.57,734.50,734.01
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,215.61,214.31,214.38
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,148.25,148.92,148.88
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,216.18,214.45,214.09
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,147.85,148.84,149.08
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,1953.42,1872.39,1878.74
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,16.34,16.98,16.92
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,85.29,85.20,85.42
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,374.07,374.49,373.70
"OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,11188.08,9432.47,9455.84
"OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (ms)",LIB,2.85,3.19,3.18
"OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,939.35,887.27,980.32
"OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,34.06,36.01,32.54
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,5150.27,4931.28,4940.96
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,6.20,6.35,6.34
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,4403.55,4319.39,4333.43
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,14.51,14.63,14.59
"TiDB Community Server - Test: oltp_update_index - Threads: 128 (Queries/sec)",HIB,27192,25012,24189
"TiDB Community Server - Test: oltp_update_non_index - Threads: 128 (Queries/sec)",HIB,42753,40210,39271
"TiDB Community Server - Test: oltp_read_write - Threads: 128 (Queries/sec)",HIB,118178,115701,114785
"TiDB Community Server - Test: oltp_point_select - Threads: 128 (Queries/sec)",HIB,175369,177492,177894
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,15872.74,13698.55,13769.22
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,4.02,4.41,4.39
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,1557.65,1544.89,1537.05
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,20.51,20.60,20.69
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,387.01,385.09,385.26
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,82.58,82.74,82.72
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,8722.19,8087.38,8103.01
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,7.33,7.57,7.56
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,4598.84,4266.06,4272.34
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,6.95,7.35,7.33
"OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (FPS)",HIB,2161.01,2062.99,2070.32
"OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,29.59,30.81,30.69
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,93058.27,91411.88,92003.35
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,0.51,0.5,0.49
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,1867.69,1848.90,1852.81
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,34.24,34.38,34.30
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,122162.20,116287.56,116528.91
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.36,0.36,0.35
"OpenFOAM - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec)",LIB,21.529285,21.019281,21.191304
"OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,38.871903,38.669757,37.832483
"7-Zip Compression - Test: Compression Rating (MIPS)",HIB,400096,413165,415539
"7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,572848,570057,574078
"Kvazaar - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,35.65,35.72,35.73
"Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,36.72,36.97,36.90
"Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,81.81,82.15,82.08
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,7.350,7.323,7.332
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,123.385,124.135,123.674
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,213.245,225.110,221.024
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,215.591,225.191,219.926
"Chaos Group V-RAY - Mode: CPU (vsamples)",HIB,94204,93398,93647
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,16.91,16.94,16.94
"Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,42.89,43.03,42.94
"Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,21.95,22.08,21.90
"Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,158.12,158.10,158.03
"Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,53.23,52.80,52.90
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,26.16,26.24,26.24
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,29.56,29.64,29.58
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,73.88,73.45,73.61
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,76.34,75.15,75.52
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,77.99,76.95,77.31
"VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,9.384,9.352,9.349
"VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,16.546,16.495,16.519
"IndigoBench - Acceleration: CPU - Scene: Bedroom (M samples/s)",HIB,16.465,16.426,16.456
"IndigoBench - Acceleration: CPU - Scene: Supercar (M samples/s)",HIB,36.364,36.316,36.499
"nginx - Connections: 500 (Reqs/sec)",HIB,229239.09,334338.04,336249.73
"nginx - Connections: 1000 (Reqs/sec)",HIB,221239.83,329453.23,324027.29
"ClickHouse - 100M Rows Hits Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,372.58,369.10,375.97
"ClickHouse - 100M Rows Hits Dataset, Second Run (Queries/min, Geo Mean)",HIB,393.09,387.04,394.14
"ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean)",HIB,392.24,391.96,388.37
"Memcached - Set To Get Ratio: 1:10 (Ops/sec)",HIB,6893541.04,6873621.13,6920394.51
"Memcached - Set To Get Ratio: 1:100 (Ops/sec)",HIB,8871179.66,9107304.97,9189255.39
"Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,4148754.05,3966972.32,3885914.05
"Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,4146060.91,4004316.56,3956813.57
"Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,4087083.95,3920454.93,3922843.55
"Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,4230138.29,4123682.24,4103259.74
"Redis - Test: GET - Parallel Connections: 50 (Reqs/sec)",HIB,5070994.5,5172665.6,5138387.8
"Redis - Test: SET - Parallel Connections: 50 (Reqs/sec)",HIB,4051356.25,4020968.92,4012674.00
"Redis - Test: GET - Parallel Connections: 500 (Reqs/sec)",HIB,4630742.7,4512541.7,4365520.62
"Redis - Test: SET - Parallel Connections: 500 (Reqs/sec)",HIB,3574783.92,3536084.02,3463325.48
"RocksDB - Test: Random Read (Op/s)",HIB,453633134,458620397,458747350
"RocksDB - Test: Update Random (Op/s)",HIB,624284,629847,618065
"RocksDB - Test: Read While Writing (Op/s)",HIB,8753722,7390143,7567665
"RocksDB - Test: Read Random Write Random (Op/s)",HIB,3229871,3158021,3193221
"PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only (TPS)",HIB,4046916,3806542,3797056
"PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency (ms)",LIB,0.247,0.263,0.264
"PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write (TPS)",HIB,29022,30134,29639
"PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency (ms)",LIB,34.509,33.299,33.845