RTX 4070 SUPER

Intel Core i9-13900K testing with a ASUS TUF GAMING Z790-PRO WIFI (1401 BIOS) and ASUS NVIDIA GeForce RTX 4070 SUPER 12GB on EndeavourOS rolling 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 2401252-NE-RTX4070SU41
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NVIDIA RTX 4070 SUPER
January 25
  5 Minutes
RTX 4070 SUPER
January 26
  5 Minutes
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RTX 4070 SUPER Intel Core i9-13900K testing with a ASUS TUF GAMING Z790-PRO WIFI (1401 BIOS) and ASUS NVIDIA GeForce RTX 4070 SUPER 12GB on EndeavourOS rolling via the Phoronix Test Suite. ,,"NVIDIA RTX 4070 SUPER","RTX 4070 SUPER" Processor,,Intel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads),Intel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads) Motherboard,,ASUS TUF GAMING Z790-PRO WIFI (1401 BIOS),ASUS TUF GAMING Z790-PRO WIFI (1401 BIOS) Chipset,,Intel Device 7a27,Intel Device 7a27 Memory,,32GB,32GB Disk,,4001GB Seagate ZP4000GP304001,4001GB Seagate ZP4000GP304001 Graphics,,ASUS NVIDIA GeForce RTX 4070 SUPER 12GB,ASUS NVIDIA GeForce RTX 4070 SUPER 12GB Audio,,Realtek ALC1220,Realtek ALC1220 Monitor,,ARZOPA,ARZOPA Network,,Intel I226-V + Intel Device 7a70,Intel I226-V + Intel Device 7a70 OS,,EndeavourOS rolling,EndeavourOS rolling Kernel,,6.7.1-arch1-1 (x86_64),6.7.1-arch1-1 (x86_64) Desktop,,KDE Plasma 5.27.10,KDE Plasma 5.27.10 Display Server,,X Server 1.21.1.11,X Server 1.21.1.11 Display Driver,,NVIDIA 550.40.07,NVIDIA 550.40.07 OpenGL,,4.6.0,4.6.0 OpenCL,,OpenCL 3.0 CUDA 12.4.74,OpenCL 3.0 CUDA 12.4.74 Compiler,,GCC 13.2.1 20230801,GCC 13.2.1 20230801 File-System,,ext4,ext4 Screen Resolution,,1920x1080,1920x1080 ,,"NVIDIA RTX 4070 SUPER","RTX 4070 SUPER" "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: Efficientnet_v2_l (batches/sec)",HIB,,103.57 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: Efficientnet_v2_l (batches/sec)",HIB,,103.17 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: Efficientnet_v2_l (batches/sec)",HIB,,102.60 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: Efficientnet_v2_l (batches/sec)",HIB,,106.37 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-152 (batches/sec)",HIB,,194.58 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-50 (batches/sec)",HIB,,504.27 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-152 (batches/sec)",HIB,,195.39 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-50 (batches/sec)",HIB,,507.45 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-50 (batches/sec)",HIB,,509.45 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,,201.94 "ProjectPhysX OpenCL-Benchmark - Operation: Memory Bandwidth Coalesced Write (GB/s)",HIB,455.01, "ProjectPhysX OpenCL-Benchmark - Operation: Memory Bandwidth Coalesced Read (GB/s)",HIB,464.86, "ProjectPhysX OpenCL-Benchmark - Operation: INT8 Compute (TIOPs/s)",HIB,14.307, "ProjectPhysX OpenCL-Benchmark - Operation: INT16 Compute (TIOPs/s)",HIB,17.170, "ProjectPhysX OpenCL-Benchmark - Operation: INT32 Compute (TIOPs/s)",HIB,19.889, "ProjectPhysX OpenCL-Benchmark - Operation: INT64 Compute (TIOPs/s)",HIB,4.214, "ProjectPhysX OpenCL-Benchmark - Operation: FP32 Compute (TFLOPs/s)",HIB,38.594, "ProjectPhysX OpenCL-Benchmark - Operation: FP64 Compute (TFLOPs/s)",HIB,0.621, "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: Efficientnet_v2_l (batches/sec)",HIB,, "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: Efficientnet_v2_l (batches/sec)",HIB,, "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-152 (batches/sec)",HIB,, "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-152 (batches/sec)",HIB,, "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-50 (batches/sec)",HIB,, "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-152 (batches/sec)",HIB,, "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-50 (batches/sec)",HIB,, "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,,