SPECworkstation Results

Summary

AI & Machine Learning

Energy

Financial Services

Life Sciences

Media & Entertainment

Product Design

Productivity & Development

Subsystem Scores

Workload Scores

Configuration

SPECworkstation® 4.0.0 Summary

Official Submission Candidate

23 of 23 workloads produced scores

System Configuration

Manufacturer	LENOVO
Model	Lenovo ThinkPad P16 Gen 2
CPU	13th Gen Intel(R) Core(TM) i9-13950HX
Memory	64.00 GB @ 4000 MHz
GPU	NVIDIA RTX 5000 Ada Generation Laptop GPU
Display	Internal Display 15.9" (3840x2400)
Storage	Intel Raid 0 Volume 7630.89 GB - SCSI
OS	Microsoft Windows 11 Pro (26100)

Submission Details

Result Date	Tue Nov 19 2024 17:19:32 GMT-0500 (Eastern Standard Time)
Submitter Company
Submitter Name
Submitter Comments

Industry Vertical Scores

AI & Machine Learning	1.87
Energy	1.90
Financial Services	0.94
Life Sciences	2.18
Media & Entertainment	2.33
Product Design	2.05
Productivity & Development	1.47

Hardware Subsystem Scores

CPU	1.38
Accelerator	4.72
Graphics	9.36
Storage	1.64

Workload Scores

Workload	SPEC Ratio
7-Zip	3.21
Autodesk Inventor	1.00
Blender	1.73
Convolution	1.29
Data Science	1.41
HandBrake	1.56
Hidden Line Removal	1.21
LAMMPS	1.45
LLVM Clang	1.43
LuxCoreRender	1.42
MFEM	1.22
NAMD	1.21
Octave	1.10
ONNX Inference	2.49
OpenFOAM	5.48
Options Pricing	0.94
Poisson	1.01
Python 3	1.19
Rodinia CFD	1.84
Rodinia Life Sciences	1.25
SRMP	1.00
Viewport Graphics	9.36
WPCstorage	1.64

Industry Vertical Scores

Workload	Reference Result	Measured Result	Unit	SPEC Ratio
AI & Machine Learning				1.87
Data Science
Pandas	131.99	108.23	sec	1.22
Scikit-learn	449.17	336.49	sec	1.33
XGBoost	91.50	53.50	sec	1.71
ONNX Inference
CPU ResNet50-FP32-batch8 Latency	63.72	51.16	ms	1.25
CPU ResNet50-FP32-batch8 Throughput	18.33	21.23	inferences/sec	1.16
CPU ResNet50-INT8-batch8 Latency	22.37	27.55	ms	0.81
CPU ResNet50-INT8-batch8 Throughput	46.62	47.91	inferences/sec	1.03
CPU SuperResolution-FP32-batch8 Latency	58.42	58.53	ms	1.00
CPU SuperResolution-FP32-batch8 Throughput	20.87	23.02	inferences/sec	1.10
CPU SuperResolution-INT8-batch8 Latency	21.34	24.95	ms	0.85
CPU SuperResolution-INT8-batch8 Throughput	55.92	57.61	inferences/sec	1.03
GPU ResNet50-FP32-batch32 Throughput	3.92	42.35	inferences/sec	10.80
GPU ResNet50-INT8-batch32 Throughput	1.92	73.93	inferences/sec	38.50
GPU SuperResolution-FP32-batch32 Throughput	6.59	37.09	inferences/sec	5.63
GPU SuperResolution-INT8-batch32 Throughput	1.92	39.23	inferences/sec	20.40

Industry Vertical Scores

Workload	Reference Result	Measured Result	Unit	SPEC Ratio
Energy				1.90
Convolution
20K/100	0.09	0.12	iterations/sec	1.29
Poisson
Jacobi Rectangular Grid	16.05	16.82	iterations/sec	1.05
Jacobi Square Grid	6.19	6.07	iterations/sec	0.98
SRMP
2D	19.45	19.37	sec	1.00
Viewport Graphics
energy	11.48	150.75	fps	13.10
WPCstorage
energy	1547.93	2230.03	points	1.44

Industry Vertical Scores

Workload	Reference Result	Measured Result	Unit	SPEC Ratio
Financial Services				0.94
Options Pricing
Monte Carlo	35137.48	33852.73	options/sec	0.96
Black-Scholes	3389.63	3483.70	Moptions/sec	1.03
Binomial	79377.62	66147.18	options/sec	0.83

Industry Vertical Scores

Workload	Reference Result	Measured Result	Unit	SPEC Ratio
Life Sciences				2.18
LAMMPS
LJ	705.82	1099.61	tau/day	1.56
CHAIN	1190.35	1855.03	tau/day	1.56
EAM	0.63	0.98	ns/day	1.55
CHUTE	38.25	41.60	tau/day	1.09
RHODO	0.26	0.41	ns/day	1.57
NAMD
apoa1	45.38	39.91	ms/step	1.14
f1atpase	130.50	112.07	ms/step	1.16
stmv	448.57	337.20	ms/step	1.33
Rodinia Life Sciences
Heart Wall	0.69	0.89	fps	1.28
HotSpot	8.55	6.08	sec	1.41
LavaMD	0.07	0.09	iterations/sec	1.26
SRAD	47.04	49.72	iterations/sec	1.06
Viewport Graphics
medical	9.63	147.38	fps	15.30
WPCstorage
namd	1250.61	1863.65	points	1.49

Industry Vertical Scores

Workload	Reference Result	Measured Result	Unit	SPEC Ratio
Media & Entertainment				2.33
Blender
Classroom	281.72	65.29	sec	4.31
BMW27	43.82	30.74	sec	1.43
BMW1M	17.74	12.35	sec	1.44
Island	29.68	29.38	sec	1.01
HandBrake
SVT-AV1 8K to 4K	195.16	138.08	sec	1.41
x265 4K to 1080p	38.36	37.03	sec	1.04
x265 4K to 4K	107.73	94.45	sec	1.14
x264 1080p to 1080p	49.98	13.07	sec	3.82
GPU H.265 4K to 4K	169.65	129.28	fps	0.76
GPU H.265 4K to 1080p	128.84	384.92	fps	2.99
LuxCoreRender
DLSC	2.46	4.18	Msamples/sec	1.70
Food	1.84	3.00	Msamples/sec	1.63
Danish Mood	2.29	2.63	Msamples/sec	1.15
Procedural Leaves	1.10	1.41	Msamples/sec	1.28
Viewport Graphics
3dsmax	15.96	199.83	fps	12.50
maya	62.09	498.17	fps	8.02
WPCstorage
3dsmax	3299.42	5395.76	points	1.64
handbrake	1897.99	3122.44	points	1.65
maya	2037.06	5237.10	points	2.57
MayaVenice	472.63	1003.27	points	2.12
MandE	1625.72	1895.96	points	1.17

Industry Vertical Scores

Workload	Reference Result	Measured Result	Unit	SPEC Ratio
Product Design				2.05
Autodesk Inventor
Open Document	4253.73	4147.00	ms	1.03
Create/Update Files	4973.68	4675.00	ms	1.06
Rebuild	10590.28	9681.00	ms	1.09
Render Style/Material	628.78	755.00	ms	0.83
Hidden Line Removal
Palatov	24.29	29.27	fps	1.21
MFEM
Dynamic AMR	227.39	186.32	sec	1.22
OpenFOAM
XiFoam Solver	803.27	146.60	sec	5.48
Rodinia CFD
Pre-Euler	138.14	254.77	iterations/sec	1.84
Viewport Graphics
catia	17.57	112.24	fps	6.39
creo	48.42	230.92	fps	4.77
solidworks	42.90	444.01	fps	10.30
WPCstorage
ccx	1398.45	2319.68	points	1.66
cfd	1921.51	3018.54	points	1.57
icePack	1543.34	2045.34	points	1.33
mcad	2612.50	5340.75	points	2.04
proddev	659.82	773.55	points	1.17

Industry Vertical Scores

Workload	Reference Result	Measured Result	Unit	SPEC Ratio
Productivity & Development				1.47
7-Zip
Decompression	16.04	17.08	sec	0.94
Compression	254.57	46.89	sec	5.43
LLVM Clang
PyTorch	562.76	393.88	sec	1.43
Octave
obench	1.20	1.08	sec/operation	1.11
benchmark2	0.11	0.10	sec/operation	1.10
Python 3
NumPy Create Matrix	0.36	0.54	sec	0.67
NumPy Add Matrix	4.44	4.29	sec	1.04
NumPy Multiply Matrix	8.06	7.18	sec	1.12
NumPy Invert Matrix	15.53	12.32	sec	1.26
NumPy Sin Matrix	2.67	2.51	sec	1.06
Multi-Matrix	65.50	46.69	sec	1.40
WPCstorage
7zip	431.06	936.56	points	2.17
mozillaVS	7708.43	11602.00	points	1.51

Hardware Subsystem Scores

Hardware Subsystem

SPEC Ratio

Accelerator

4.72

Workload	Reference Result	Measured Result	Unit	SPEC Ratio
HandBrake
GPU H.265 4K to 4K	169.65	129.28	fps	0.76
GPU H.265 4K to 1080p	128.84	384.92	fps	2.99
ONNX Inference
GPU ResNet50-FP32-batch32 Throughput	3.92	42.35	inferences/sec	10.80
GPU ResNet50-INT8-batch32 Throughput	1.92	73.93	inferences/sec	38.50
GPU SuperResolution-FP32-batch32 Throughput	6.59	37.09	inferences/sec	5.63
GPU SuperResolution-INT8-batch32 Throughput	1.92	39.23	inferences/sec	20.40

CPU

1.38

Workload	Reference Result	Measured Result	Unit	SPEC Ratio
7-Zip
Decompression	16.04	17.08	sec	0.94
Compression	254.57	46.89	sec	5.43
Autodesk Inventor
Open Document	4253.73	4147.00	ms	1.03
Create/Update Files	4973.68	4675.00	ms	1.06
Rebuild	10590.28	9681.00	ms	1.09
Render Style/Material	628.78	755.00	ms	0.83
Blender
Classroom	281.72	65.29	sec	4.31
BMW27	43.82	30.74	sec	1.43
BMW1M	17.74	12.35	sec	1.44
Island	29.68	29.38	sec	1.01
Convolution
20K/100	0.09	0.12	iterations/sec	1.29
Data Science
Pandas	131.99	108.23	sec	1.22
Scikit-learn	449.17	336.49	sec	1.33
XGBoost	91.50	53.50	sec	1.71
HandBrake
SVT-AV1 8K to 4K	195.16	138.08	sec	1.41
x265 4K to 1080p	38.36	37.03	sec	1.04
x265 4K to 4K	107.73	94.45	sec	1.14
x264 1080p to 1080p	49.98	13.07	sec	3.82
Hidden Line Removal
Palatov	24.29	29.27	fps	1.21
LAMMPS
LJ	705.82	1099.61	tau/day	1.56
CHAIN	1190.35	1855.03	tau/day	1.56
EAM	0.63	0.98	ns/day	1.55
CHUTE	38.25	41.60	tau/day	1.09
RHODO	0.26	0.41	ns/day	1.57
LLVM Clang
PyTorch	562.76	393.88	sec	1.43
LuxCoreRender
DLSC	2.46	4.18	Msamples/sec	1.70
Food	1.84	3.00	Msamples/sec	1.63
Danish Mood	2.29	2.63	Msamples/sec	1.15
Procedural Leaves	1.10	1.41	Msamples/sec	1.28
MFEM
Dynamic AMR	227.39	186.32	sec	1.22
NAMD
apoa1	45.38	39.91	ms/step	1.14
f1atpase	130.50	112.07	ms/step	1.16
stmv	448.57	337.20	ms/step	1.33
Octave
obench	1.20	1.08	sec/operation	1.11
benchmark2	0.11	0.10	sec/operation	1.10
ONNX Inference
CPU ResNet50-FP32-batch8 Latency	63.72	51.16	ms	1.25
CPU ResNet50-FP32-batch8 Throughput	18.33	21.23	inferences/sec	1.16
CPU ResNet50-INT8-batch8 Latency	22.37	27.55	ms	0.81
CPU ResNet50-INT8-batch8 Throughput	46.62	47.91	inferences/sec	1.03
CPU SuperResolution-FP32-batch8 Latency	58.42	58.53	ms	1.00
CPU SuperResolution-FP32-batch8 Throughput	20.87	23.02	inferences/sec	1.10
CPU SuperResolution-INT8-batch8 Latency	21.34	24.95	ms	0.85
CPU SuperResolution-INT8-batch8 Throughput	55.92	57.61	inferences/sec	1.03
OpenFOAM
XiFoam Solver	803.27	146.60	sec	5.48
Options Pricing
Monte Carlo	35137.48	33852.73	options/sec	0.96
Black-Scholes	3389.63	3483.70	Moptions/sec	1.03
Binomial	79377.62	66147.18	options/sec	0.83
Poisson
Jacobi Rectangular Grid	16.05	16.82	iterations/sec	1.05
Jacobi Square Grid	6.19	6.07	iterations/sec	0.98
Python 3
NumPy Create Matrix	0.36	0.54	sec	0.67
NumPy Add Matrix	4.44	4.29	sec	1.04
NumPy Multiply Matrix	8.06	7.18	sec	1.12
NumPy Invert Matrix	15.53	12.32	sec	1.26
NumPy Sin Matrix	2.67	2.51	sec	1.06
Multi-Matrix	65.50	46.69	sec	1.40
Rodinia CFD
Pre-Euler	138.14	254.77	iterations/sec	1.84
Rodinia Life Sciences
Heart Wall	0.69	0.89	fps	1.28
HotSpot	8.55	6.08	sec	1.41
LavaMD	0.07	0.09	iterations/sec	1.26
SRAD	47.04	49.72	iterations/sec	1.06
SRMP
2D	19.45	19.37	sec	1.00

Graphics

9.36

Workload	Reference Result	Measured Result	Unit	SPEC Ratio
Viewport Graphics
3dsmax	15.96	199.83	fps	12.50
catia	17.57	112.24	fps	6.39
creo	48.42	230.92	fps	4.77
energy	11.48	150.75	fps	13.10
maya	62.09	498.17	fps	8.02
medical	9.63	147.38	fps	15.30
solidworks	42.90	444.01	fps	10.30

Storage

1.64

Workload	Reference Result	Measured Result	Unit	SPEC Ratio
WPCstorage
3dsmax	3299.42	5395.76	points	1.64
7zip	431.06	936.56	points	2.17
ccx	1398.45	2319.68	points	1.66
cfd	1921.51	3018.54	points	1.57
energy	1547.93	2230.03	points	1.44
handbrake	1897.99	3122.44	points	1.65
icePack	1543.34	2045.34	points	1.33
maya	2037.06	5237.10	points	2.57
MayaVenice	472.63	1003.27	points	2.12
MandE	1625.72	1895.96	points	1.17
mcad	2612.50	5340.75	points	2.04
mozillaVS	7708.43	11602.00	points	1.51
namd	1250.61	1863.65	points	1.49
proddev	659.82	773.55	points	1.17

Workload Scores

Workload	Time Stamp	Execution Time	Reference Result	Measured Result	Unit	SPEC Ratio
7-Zip	Nov 19, 2024, 5:19:32 PM EST					3.21
Decompression		17.08 sec	16.04	17.08	sec	0.94
Compression		46.89 sec	254.57	46.89	sec	5.43
Autodesk Inventor	Nov 19, 2024, 5:20:40 PM EST					1.00
Open Document		4.34 sec	4253.73	4147.00	ms	1.03
Create/Update Files		6.39 sec	4973.68	4675.00	ms	1.06
Rebuild		9.88 sec	10590.28	9681.00	ms	1.09
Render Style/Material		0.95 sec	628.78	755.00	ms	0.83
Blender	Nov 19, 2024, 5:21:35 PM EST					1.73
Classroom		65.29 sec	281.72	65.29	sec	4.31
BMW27		30.74 sec	43.82	30.74	sec	1.43
BMW1M		12.35 sec	17.74	12.35	sec	1.44
Island		29.38 sec	29.68	29.38	sec	1.01
Convolution	Nov 19, 2024, 5:23:57 PM EST					1.29
20K/100		36.32 sec	0.09	0.12	iterations/sec	1.29
Data Science	Nov 19, 2024, 5:24:33 PM EST					1.41
Pandas		138.40 sec	131.99	108.23	sec	1.22
Scikit-learn		340.45 sec	449.17	336.49	sec	1.33
XGBoost		74.00 sec	91.50	53.50	sec	1.71
HandBrake	Nov 19, 2024, 5:34:01 PM EST					1.56
SVT-AV1 8K to 4K		138.08 sec	195.16	138.08	sec	1.41
x265 4K to 1080p		38.57 sec	38.36	37.03	sec	1.04
x265 4K to 4K		95.89 sec	107.73	94.45	sec	1.14
x264 1080p to 1080p		13.07 sec	49.98	13.07	sec	3.82
GPU H.265 4K to 4K		58.86 sec	169.65	129.28	fps	0.76
GPU H.265 4K to 1080p		197.56 sec	128.84	384.92	fps	2.99
Hidden Line Removal	Nov 19, 2024, 5:43:09 PM EST					1.21
Palatov		17.43 sec	24.29	29.27	fps	1.21
Palatov		17.02 sec	24.29	27.91	fps	1.15
LAMMPS	Nov 19, 2024, 5:43:45 PM EST					1.45
LJ		14.78 sec	705.82	1099.61	tau/day	1.56
CHAIN		13.00 sec	1190.35	1855.03	tau/day	1.56
EAM		14.27 sec	0.63	0.98	ns/day	1.55
CHUTE		9.78 sec	38.25	41.60	tau/day	1.09
RHODO		6.82 sec	0.26	0.41	ns/day	1.57
LLVM Clang	Nov 19, 2024, 5:44:43 PM EST					1.43
PyTorch		409.84 sec	562.76	393.88	sec	1.43
LuxCoreRender	Nov 19, 2024, 5:52:43 PM EST					1.42
DLSC		13.70 sec	2.46	4.18	Msamples/sec	1.70
Food		19.50 sec	1.84	3.00	Msamples/sec	1.63
Danish Mood		56.91 sec	2.29	2.63	Msamples/sec	1.15
Procedural Leaves		39.14 sec	1.10	1.41	Msamples/sec	1.28
MFEM	Nov 19, 2024, 5:54:53 PM EST					1.22
Dynamic AMR		186.32 sec	227.39	186.32	sec	1.22
NAMD	Nov 19, 2024, 5:57:59 PM EST					1.21
apoa1		13.94 sec	45.38	39.91	ms/step	1.14
f1atpase		22.44 sec	130.50	112.07	ms/step	1.16
stmv		47.61 sec	448.57	337.20	ms/step	1.33
Octave	Nov 19, 2024, 5:59:23 PM EST					1.10
obench		46.03 sec	1.20	1.08	sec/operation	1.11
benchmark2		10.86 sec	0.11	0.10	sec/operation	1.10
ONNX Inference	Nov 19, 2024, 6:00:31 PM EST					2.49
CPU ResNet50-FP32-batch8 Latency		20.98 sec	63.72	51.16	ms	1.25
CPU ResNet50-FP32-batch8 Throughput		21.43 sec	18.33	21.23	inferences/sec	1.16
CPU ResNet50-FP32-batch8 Throughput		21.96 sec	18.33	21.07	inferences/sec	1.15
CPU ResNet50-INT8-batch8 Latency		20.20 sec	22.37	27.55	ms	0.81
CPU ResNet50-INT8-batch8 Throughput		20.76 sec	46.62	38.71	inferences/sec	0.83
CPU ResNet50-INT8-batch8 Throughput		20.81 sec	46.62	47.91	inferences/sec	1.03
CPU SuperResolution-FP32-batch8 Latency		20.15 sec	58.42	58.53	ms	1.00
CPU SuperResolution-FP32-batch8 Throughput		21.13 sec	20.87	23.02	inferences/sec	1.10
CPU SuperResolution-FP32-batch8 Throughput		21.83 sec	20.87	17.35	inferences/sec	0.83
CPU SuperResolution-INT8-batch8 Latency		20.10 sec	21.34	24.95	ms	0.85
CPU SuperResolution-INT8-batch8 Throughput		20.52 sec	55.92	57.61	inferences/sec	1.03
CPU SuperResolution-INT8-batch8 Throughput		20.75 sec	55.92	52.10	inferences/sec	0.93
GPU ResNet50-FP32-batch32 Throughput		20.66 sec	3.92	42.35	inferences/sec	10.80
GPU ResNet50-INT8-batch32 Throughput		20.62 sec	1.92	73.93	inferences/sec	38.50
GPU SuperResolution-FP32-batch32 Throughput		21.60 sec	6.59	37.09	inferences/sec	5.63
GPU SuperResolution-INT8-batch32 Throughput		21.53 sec	1.92	39.23	inferences/sec	20.40
OpenFOAM	Nov 19, 2024, 6:06:07 PM EST					5.48
XiFoam Solver		162.71 sec	803.27	146.60	sec	5.48
XiFoam Solver		165.34 sec	803.27	155.41	sec	5.17
Options Pricing	Nov 19, 2024, 6:11:39 PM EST					0.94
Monte Carlo		31.23 sec	35137.48	33852.73	options/sec	0.96
Black-Scholes		20.12 sec	3389.63	3483.70	Moptions/sec	1.03
Binomial		15.91 sec	79377.62	66147.18	options/sec	0.83
Poisson	Nov 19, 2024, 6:12:46 PM EST					1.01
Jacobi Rectangular Grid		10.23 sec	16.05	16.41	iterations/sec	1.02
Jacobi Rectangular Grid		10.08 sec	16.05	16.82	iterations/sec	1.05
Jacobi Square Grid		10.23 sec	6.19	6.07	iterations/sec	0.98
Jacobi Square Grid		10.13 sec	6.19	5.94	iterations/sec	0.96
Python 3	Nov 19, 2024, 6:13:27 PM EST					1.19
NumPy Create Matrix		9.30 sec	0.36	0.54	sec	0.67
NumPy Add Matrix		4.94 sec	4.44	4.29	sec	1.04
NumPy Multiply Matrix		7.83 sec	8.06	7.18	sec	1.12
NumPy Invert Matrix		12.98 sec	15.53	12.32	sec	1.26
NumPy Sin Matrix		3.16 sec	2.67	2.51	sec	1.06
Multi-Matrix		47.36 sec	65.50	46.69	sec	1.40
Rodinia CFD	Nov 19, 2024, 6:15:03 PM EST					1.84
Pre-Euler		33.30 sec	138.14	254.77	iterations/sec	1.84
Rodinia Life Sciences	Nov 19, 2024, 6:15:36 PM EST					1.25
Heart Wall		10.43 sec	0.69	0.89	fps	1.28
HotSpot		7.27 sec	8.55	6.08	sec	1.41
LavaMD		11.73 sec	0.07	0.09	iterations/sec	1.26
SRAD		10.32 sec	47.04	49.72	iterations/sec	1.06
SRMP	Nov 19, 2024, 6:16:17 PM EST					1.00
2D		20.25 sec	19.45	19.37	sec	1.00
Viewport Graphics	Nov 19, 2024, 6:16:37 PM EST					9.36
3dsmax		164.63 sec	15.96	199.83	fps	12.50
catia		131.85 sec	17.57	112.24	fps	6.39
creo		222.80 sec	48.42	230.92	fps	4.77
energy		77.61 sec	11.48	150.75	fps	13.10
maya		151.03 sec	62.09	498.17	fps	8.02
medical		73.74 sec	9.63	147.38	fps	15.30
solidworks		74.35 sec	42.90	444.01	fps	10.30
WPCstorage	Nov 19, 2024, 6:32:33 PM EST					1.64
3dsmax		54.56 sec	3299.42	5395.76	points	1.64
7zip		45.77 sec	431.06	936.56	points	2.17
ccx		11.68 sec	1398.45	2319.68	points	1.66
cfd		12.20 sec	1921.51	3018.54	points	1.57
energy		19.17 sec	1547.93	2230.03	points	1.44
handbrake		14.76 sec	1897.99	3122.44	points	1.65
icePack		48.34 sec	1543.34	2045.34	points	1.33
maya		37.19 sec	2037.06	5237.10	points	2.57
MayaVenice		22.48 sec	472.63	1003.27	points	2.12
MandE		18.99 sec	1625.72	1895.96	points	1.17
mcad		47.11 sec	2612.50	5340.75	points	2.04
mozillaVS		26.18 sec	7708.43	11602.00	points	1.51
namd		15.73 sec	1250.61	1863.65	points	1.49
proddev		17.88 sec	659.82	773.55	points	1.17

System Details

System Configuration Details

MOTHERBOARD

Name: 21FBZB1AUS
Model: Lenovo ThinkPad P16 Gen 2
Version: 21FA002UUS
Manufacturer: LENOVO
Serial Number: L1HF34D001X
BIOS: LENOVO N3TET56W (1.56 )
BIOS Version: LENOVO - 1560 (2024-08-27)

PROCESSOR

CPU #1: 13th Gen Intel(R) Core(TM) i9-13950HX (2200MHz / 24C / 32T)

MEMORY

BANK 0/1 (Controller0-ChannelA/B-DIMM1): Samsung M425R4GA3BB0-CWMOD (32.00 GB / 4000 MHz / DDR5)
BANK 0/1 (Controller1-ChannelA/B-DIMM1): Samsung M425R4GA3BB0-CWMOD (32.00 GB / 4000 MHz / DDR5)
Total Memory: 64.00 GB

STORAGE

Disk #1: Intel Raid 0 Volume (7630.89 GB - SCSI)
Partition 1: GPT: System (0.25 GB)
Partition 2: GPT: Basic Data (7628.67 GB)
Partition 3: GPT: Unknown (1.95 GB)

Available Volumes
C: (Windows): NTFS (7520.83 GB of 7628.67 GB Available)

NETWORK

Adapter #1: Intel(R) Wi-Fi 6E AX211 160MHz
Type: Ethernet 802.3 | MAC: 50:28:4A:FF:22:F1 | Speed: Not Connected
Adapter #2: Bluetooth Device (Personal Area Network)
Type: Ethernet 802.3 | MAC: 50:28:4A:FF:22:F5 | Speed: Not Connected
Adapter #3: Realtek USB 2.5GbE Family Controller
Type: Ethernet 802.3 | MAC: 60:7D:09:0D:D1:DC | Speed: 1000.00 Mbit

GRAPHICS

Adapter #1: NVIDIA RTX 5000 Ada Generation Laptop GPU
Video Memory: 15.99 GB
Current Resolution: 3840x2400 @ 60 Hz (32-bit Color)
Driver Version: 31.0.15.3878 (2024-06-09)

DISPLAY

Display #1: LENOVO GROUP LIMITED Internal Display 15.9" (3840x2400)
Model: 41BC | S/N: None | Connector: Embedded DisplayPort (Digital)

Windows Screens
Screen 1: 1920x1200 @ 32 bpp

BATTERY

Battery #1 (Front): P/N: 5B10W51893 | Mfg: SIMPLE COMPUTING | Charge Level: 98%

OPERATING SYSTEM

Name: Microsoft Windows 11 Pro 64-bit
Version: 10.0.26100.2314 (Release 2009)
Installation Date: 2024-11-08
Free Memory: 54.71 GB (Physical) | 59.18 GB (Virtual) | 4.00 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Let Windows Choose
Virtualization Based Security (VBS): Not Running
Active Power Plan: Balanced (381b4222-f694-41f0-9685-ff5bb260df2e)