2 x Intel Xeon Platinum 8490H testing with a Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS) and ASPEED on Ubuntu 23.10 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 2311059-NE-NEWSAT27963
new-sat
2 x Intel Xeon Platinum 8490H testing with a Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite.
a:
Processor: 2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 1008GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T
OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
b:
Processor: 2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 1008GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T
OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
c:
Processor: 2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 1008GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T
OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
d:
Processor: 2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 1008GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T
OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
e:
Processor: Intel Xeon Platinum 8490H @ 3.50GHz (60 Cores / 120 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 512GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED
OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
f:
Processor: Intel Xeon Platinum 8490H @ 3.50GHz (60 Cores / 120 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 512GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED
OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
g:
Processor: Intel Xeon Max 9468 @ 3.50GHz (48 Cores / 96 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 512GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED
OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
h:
Processor: Intel Xeon Max 9468 @ 3.50GHz (48 Cores / 96 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 512GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED
OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
i:
Processor: Intel Xeon Max 9468 @ 3.50GHz (48 Cores / 96 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 512GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED
OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
j:
Processor: 2 x Intel Xeon Max 9468 @ 3.50GHz (96 Cores / 192 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 1008GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T
OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
k:
Processor: 2 x Intel Xeon Max 9468 @ 3.50GHz (96 Cores / 192 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 1008GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T
OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
l:
Processor: 2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 1008GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T
OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
m:
Processor: 2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 1008GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T
OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
n:
Processor: 2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 1008GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T
OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
CloverLeaf 1.3
Input: clover_bm
Seconds < Lower Is Better
a . 14.03 |============
b . 13.69 |============
c . 14.05 |============
d . 19.28 |=================
e . 8.74 |========
f . 8.68 |=======
g . 10.00 |=========
h . 9.87 |=========
i . 9.94 |=========
j . 78.70 |====================================================================
k . 63.32 |=======================================================
n . 14.07 |============
CloverLeaf 1.3
Input: clover_bm16
Seconds < Lower Is Better
a . 224.98 |========
b . 214.08 |========
c . 218.67 |========
d . 303.86 |===========
e . 323.53 |============
f . 323.38 |============
g . 183.71 |=======
h . 182.63 |=======
j . 1584.37 |==========================================================
k . 1812.17 |==================================================================
n . 222.01 |========
CloverLeaf 1.3
Input: clover_bm64_short
Seconds < Lower Is Better
a . 24.34 |==============
b . 24.97 |==============
c . 24.12 |==============
d . 32.19 |==================
e . 38.96 |======================
f . 38.94 |======================
g . 20.86 |============
h . 20.99 |============
j . 117.20 |===================================================================
k . 73.01 |==========================================
n . 24.90 |==============
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128
GFLOP/s > Higher Is Better
a . 140.10 |=================================================================
b . 145.30 |===================================================================
c . 144.14 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256
GFLOP/s > Higher Is Better
a . 159.22 |==============================================================
b . 173.45 |===================================================================
c . 160.51 |==============================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512
GFLOP/s > Higher Is Better
a . 136.09 |===================================================================
b . 133.27 |==================================================================
c . 130.46 |================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128
GFLOP/s > Higher Is Better
a . 175.04 |===================================================================
b . 176.18 |===================================================================
c . 175.27 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256
GFLOP/s > Higher Is Better
a . 345.60 |===================================================================
b . 331.45 |================================================================
c . 341.13 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512
GFLOP/s > Higher Is Better
a . 242.80 |===================================================================
b . 238.31 |==================================================================
c . 236.92 |=================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128
GFLOP/s > Higher Is Better
a . 71.48 |====================================================
b . 66.64 |=================================================
c . 92.64 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256
GFLOP/s > Higher Is Better
a . 64.85 |====================================================================
b . 63.68 |===================================================================
c . 62.71 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512
GFLOP/s > Higher Is Better
a . 69.69 |====================================================================
b . 65.41 |================================================================
c . 65.12 |================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 1024
GFLOP/s > Higher Is Better
a . 151.72 |===================================================================
b . 152.47 |===================================================================
c . 152.04 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: float - X Y Z: 128
GFLOP/s > Higher Is Better
a . 125.36 |===================================================================
b . 126.18 |===================================================================
c . 108.63 |==========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: float - X Y Z: 256
GFLOP/s > Higher Is Better
a . 172.19 |===================================================================
b . 157.03 |=============================================================
c . 159.46 |==============================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: float - X Y Z: 512
GFLOP/s > Higher Is Better
a . 119.58 |==============================================================
b . 129.55 |===================================================================
c . 118.43 |=============================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128
GFLOP/s > Higher Is Better
a . 89.76 |====================================================
b . 41.56 |========================
c . 115.40 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256
GFLOP/s > Higher Is Better
a . 130.15 |===============================================================
b . 138.93 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512
GFLOP/s > Higher Is Better
a . 123.79 |===================================================================
b . 122.95 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 1024
GFLOP/s > Higher Is Better
a . 261.58 |===================================================================
b . 262.00 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: float - X Y Z: 128
GFLOP/s > Higher Is Better
a . 161.82 |===================================================================
b . 161.36 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: float - X Y Z: 256
GFLOP/s > Higher Is Better
a . 360.02 |===================================================================
b . 323.21 |============================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: float - X Y Z: 512
GFLOP/s > Higher Is Better
a . 242.76 |==================================================================
b . 245.52 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 1024
GFLOP/s > Higher Is Better
a . 82.10 |====================================================================
b . 80.47 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: double - X Y Z: 128
GFLOP/s > Higher Is Better
a . 89.02 |===================================================================
b . 90.01 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: double - X Y Z: 256
GFLOP/s > Higher Is Better
a . 65.75 |===================================================================
b . 67.00 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: double - X Y Z: 512
GFLOP/s > Higher Is Better
a . 72.03 |====================================================================
b . 71.31 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: float - X Y Z: 1024
GFLOP/s > Higher Is Better
a . 152.49 |===================================================================
b . 152.92 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 1024
GFLOP/s > Higher Is Better
a . 137.37 |===================================================================
b . 137.38 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: double - X Y Z: 128
GFLOP/s > Higher Is Better
a . 115.20 |=============================================================
b . 125.70 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: double - X Y Z: 256
GFLOP/s > Higher Is Better
a . 149.78 |===================================================================
b . 146.84 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: double - X Y Z: 512
GFLOP/s > Higher Is Better
a . 133.76 |===================================================================
b . 131.44 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: float - X Y Z: 1024
GFLOP/s > Higher Is Better
a . 298.19 |===================================================================
b . 297.89 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: double - X Y Z: 1024
GFLOP/s > Higher Is Better
a . 82.66 |====================================================================
b . 82.83 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: double - X Y Z: 1024
GFLOP/s > Higher Is Better
a . 154.89 |===================================================================
b . 154.81 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 128
GFLOP/s > Higher Is Better
a . 143.40 |===================================================================
b . 132.64 |==============================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 256
GFLOP/s > Higher Is Better
a . 166.06 |===================================================================
b . 158.01 |================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 512
GFLOP/s > Higher Is Better
a . 134.08 |===================================================================
b . 133.67 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 128
GFLOP/s > Higher Is Better
a . 165.32 |===============================================================
b . 175.74 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 256
GFLOP/s > Higher Is Better
a . 323.08 |==============================================================
b . 348.23 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 512
GFLOP/s > Higher Is Better
a . 246.42 |===================================================================
b . 238.18 |=================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 128
GFLOP/s > Higher Is Better
a . 29.78 |======================
b . 92.73 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 256
GFLOP/s > Higher Is Better
a . 67.45 |====================================================================
b . 63.59 |================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 512
GFLOP/s > Higher Is Better
a . 67.01 |====================================================================
b . 66.19 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 1024
GFLOP/s > Higher Is Better
a . 152.25 |===================================================================
b . 153.36 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 128
GFLOP/s > Higher Is Better
a . 123.36 |===================================================================
b . 123.26 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 256
GFLOP/s > Higher Is Better
a . 162.02 |===================================================================
b . 158.12 |=================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 512
GFLOP/s > Higher Is Better
a . 128.23 |==================================================================
b . 129.79 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 128
GFLOP/s > Higher Is Better
a . 71.96 |====================================================================
b . 38.50 |====================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256
GFLOP/s > Higher Is Better
a . 127.35 |=================================================================
b . 131.69 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 512
GFLOP/s > Higher Is Better
a . 124.49 |===================================================================
b . 123.11 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 1024
GFLOP/s > Higher Is Better
a . 262.19 |===================================================================
b . 262.09 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 128
GFLOP/s > Higher Is Better
a . 164.82 |===================================================================
b . 158.42 |================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 256
GFLOP/s > Higher Is Better
a . 322.72 |==================================================================
b . 327.72 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 512
GFLOP/s > Higher Is Better
a . 244.61 |===================================================================
b . 241.84 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 1024
GFLOP/s > Higher Is Better
a . 82.82 |====================================================================
b . 81.97 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 128
GFLOP/s > Higher Is Better
a . 87.91 |==================================================================
b . 90.23 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 256
GFLOP/s > Higher Is Better
a . 67.43 |====================================================================
b . 65.55 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 512
GFLOP/s > Higher Is Better
a . 71.74 |====================================================================
b . 71.46 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 1024
GFLOP/s > Higher Is Better
a . 153.32 |===================================================================
b . 153.99 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 1024
GFLOP/s > Higher Is Better
a . 138.03 |===================================================================
b . 136.46 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 128
GFLOP/s > Higher Is Better
a . 120.20 |=================================================================
b . 124.55 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 256
GFLOP/s > Higher Is Better
a . 156.74 |===================================================================
b . 157.55 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 512
GFLOP/s > Higher Is Better
a . 135.65 |===================================================================
b . 132.37 |=================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 1024
GFLOP/s > Higher Is Better
a . 299.64 |===================================================================
b . 297.94 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 1024
GFLOP/s > Higher Is Better
a . 82.72 |====================================================================
b . 82.77 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 1024
GFLOP/s > Higher Is Better
a . 154.94 |===================================================================
b . 155.04 |===================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 889 |===============================
b . 889 |===============================
d . 894 |===============================
e . 1644 |=========================================================
f . 1647 |=========================================================
g . 1984 |=====================================================================
h . 1975 |=====================================================================
j . 1366 |================================================
k . 1361 |===============================================
n . 889 |===============================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 907 |===============================
b . 908 |===============================
d . 910 |================================
e . 1663 |==========================================================
f . 1661 |==========================================================
g . 1990 |=====================================================================
h . 1989 |=====================================================================
j . 1535 |=====================================================
k . 1381 |================================================
n . 903 |===============================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 1066 |===============================
b . 1064 |===============================
d . 1064 |===============================
e . 1962 |==========================================================
f . 1962 |==========================================================
g . 2352 |=====================================================================
h . 2345 |=====================================================================
j . 1691 |==================================================
k . 1672 |=================================================
n . 1057 |===============================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 14067 |==========================
b . 13991 |==========================
d . 14042 |==========================
e . 30876 |=========================================================
f . 30951 |=========================================================
g . 36833 |====================================================================
h . 36575 |====================================================================
j . 31587 |==========================================================
k . 21000 |=======================================
n . 14017 |==========================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 33358 |=================================
b . 33490 |=================================
d . 33652 |=================================
e . 57130 |=========================================================
f . 57572 |=========================================================
g . 68562 |====================================================================
h . 68355 |====================================================================
j . 51593 |===================================================
k . 48393 |================================================
n . 33085 |=================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 14223 |==========================
b . 14248 |==========================
d . 14338 |===========================
e . 31373 |==========================================================
f . 31194 |==========================================================
g . 36770 |====================================================================
h . 36787 |====================================================================
j . 22407 |=========================================
k . 22062 |=========================================
n . 14289 |==========================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 34608 |==================================
b . 33567 |=================================
d . 33817 |==================================
e . 58032 |==========================================================
f . 58436 |==========================================================
g . 68506 |====================================================================
h . 68593 |====================================================================
j . 51940 |===================================================
k . 52535 |====================================================
n . 33789 |=================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 16770 |===========================
b . 16786 |===========================
d . 16765 |===========================
e . 36028 |==========================================================
f . 36109 |==========================================================
g . 42592 |====================================================================
h . 42412 |====================================================================
j . 30736 |=================================================
k . 34459 |=======================================================
n . 16672 |===========================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 38573 |=================================
b . 38554 |=================================
d . 39029 |=================================
e . 67291 |=========================================================
f . 67337 |=========================================================
g . 80104 |====================================================================
h . 79992 |====================================================================
j . 60905 |====================================================
k . 59689 |===================================================
n . 38979 |=================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 225 |================================
b . 226 |================================
d . 227 |================================
e . 416 |==========================================================
f . 416 |==========================================================
g . 500 |======================================================================
h . 500 |======================================================================
j . 356 |==================================================
k . 344 |================================================
n . 225 |================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 230 |================================
b . 230 |================================
d . 231 |================================
e . 421 |==========================================================
f . 422 |==========================================================
g . 505 |======================================================================
h . 505 |======================================================================
j . 361 |==================================================
k . 370 |===================================================
n . 230 |================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 269 |================================
b . 268 |================================
d . 270 |================================
e . 496 |==========================================================
f . 497 |==========================================================
g . 595 |======================================================================
h . 595 |======================================================================
j . 420 |=================================================
k . 450 |=====================================================
n . 268 |================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 3539 |===============================
b . 3542 |===============================
d . 3558 |===============================
e . 6633 |==========================================================
f . 6628 |==========================================================
g . 7939 |=====================================================================
h . 7952 |=====================================================================
j . 5349 |==============================================
k . 5771 |==================================================
n . 3545 |===============================
OSPRay Studio 0.13
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 7076 |==============================
b . 7113 |==============================
d . 7142 |==============================
e . 13272 |=========================================================
f . 13231 |========================================================
g . 15955 |====================================================================
h . 15942 |====================================================================
j . 10852 |==============================================
k . 10581 |=============================================
n . 7076 |==============================
OSPRay Studio 0.13
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 3620 |===============================
b . 3594 |===============================
d . 3636 |===============================
e . 6711 |==========================================================
f . 6711 |==========================================================
g . 8009 |=====================================================================
h . 8010 |=====================================================================
j . 5659 |=================================================
k . 5812 |==================================================
n . 3605 |===============================
OSPRay Studio 0.13
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 7192 |==============================
b . 7193 |==============================
d . 7245 |===============================
e . 13393 |========================================================
g . 16151 |====================================================================
h . 16114 |====================================================================
j . 11801 |==================================================
k . 11652 |=================================================
n . 7194 |==============================
OSPRay Studio 0.13
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 4239 |===============================
b . 4213 |===============================
d . 4258 |===============================
e . 7892 |=========================================================
g . 9424 |=====================================================================
h . 9487 |=====================================================================
j . 6496 |===============================================
k . 7011 |===================================================
n . 4206 |===============================
OSPRay Studio 0.13
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 8459 |==============================
b . 8429 |==============================
d . 8493 |==============================
e . 15787 |=========================================================
g . 18877 |====================================================================
h . 18945 |====================================================================
j . 13319 |================================================
k . 13049 |===============================================
n . 8428 |==============================
Cpuminer-Opt 23.5
Algorithm: Magi
kH/s > Higher Is Better
a . 2683.56 |==================================================================
b . 2681.44 |==================================================================
d . 2672.68 |=================================================================
e . 1370.86 |==================================
g . 968.45 |========================
h . 986.33 |========================
j . 1946.40 |================================================
k . 1946.34 |================================================
n . 2694.61 |==================================================================
Cpuminer-Opt 23.5
Algorithm: scrypt
kH/s > Higher Is Better
a . 1220.91 |==================================================================
b . 1194.30 |=================================================================
d . 1189.10 |================================================================
e . 618.59 |=================================
g . 472.76 |==========================
h . 456.46 |=========================
j . 939.58 |===================================================
k . 900.68 |=================================================
n . 1201.63 |=================================================================
Cpuminer-Opt 23.5
Algorithm: Deepcoin
kH/s > Higher Is Better
a . 32300 |====================================================================
b . 32320 |====================================================================
d . 32317 |====================================================================
e . 16340 |==================================
g . 11730 |=========================
h . 12140 |=========================
j . 23390 |=================================================
k . 23850 |==================================================
n . 32400 |====================================================================
Cpuminer-Opt 23.5
Algorithm: Ringcoin
kH/s > Higher Is Better
a . 5799.03 |========================
b . 5933.75 |========================
d . 5770.26 |========================
e . 5867.89 |========================
g . 5205.00 |=====================
h . 5300.21 |======================
j . 15560.00 |================================================================
k . 15770.00 |=================================================================
n . 7748.29 |================================
Cpuminer-Opt 23.5
Algorithm: Blake-2 S
kH/s > Higher Is Better
a . 535240 |===================================================================
b . 535430 |===================================================================
d . 533880 |===================================================================
e . 267760 |==================================
g . 191940 |========================
h . 191940 |========================
j . 382680 |================================================
k . 382610 |================================================
n . 534840 |===================================================================
Cpuminer-Opt 23.5
Algorithm: Garlicoin
kH/s > Higher Is Better
a . 3725.51 |=========
b . 3727.55 |=========
d . 4200.71 |===========
e . 11540.00 |=============================
g . 2256.38 |======
h . 2332.32 |======
j . 20460.00 |===================================================
k . 20550.00 |===================================================
n . 26000.00 |=================================================================
Cpuminer-Opt 23.5
Algorithm: Skeincoin
kH/s > Higher Is Better
a . 133860 |===================================================================
b . 133600 |===================================================================
d . 134140 |===================================================================
e . 67000 |=================================
g . 50420 |=========================
h . 48010 |========================
j . 95670 |================================================
k . 95990 |================================================
n . 133840 |===================================================================
Cpuminer-Opt 23.5
Algorithm: Myriad-Groestl
kH/s > Higher Is Better
a . 47950 |====================================================================
b . 46280 |==================================================================
d . 47623 |====================================================================
e . 25310 |====================================
g . 17860 |=========================
h . 18010 |==========================
j . 35700 |===================================================
k . 35610 |===================================================
n . 46430 |==================================================================
Cpuminer-Opt 23.5
Algorithm: LBC, LBRY Credits
kH/s > Higher Is Better
a . 58960 |===================================================================
b . 59690 |====================================================================
d . 58620 |===================================================================
e . 29550 |==================================
g . 21190 |========================
h . 21180 |========================
j . 42230 |================================================
k . 42230 |================================================
n . 59060 |===================================================================
Cpuminer-Opt 23.5
Algorithm: Quad SHA-256, Pyrite
kH/s > Higher Is Better
a . 267960 |==================================================================
b . 269860 |===================================================================
d . 267450 |==================================================================
e . 136700 |==================================
g . 97890 |========================
h . 97960 |========================
j . 195710 |================================================
k . 196100 |================================================
n . 271570 |===================================================================
Cpuminer-Opt 23.5
Algorithm: Triple SHA-256, Onecoin
kH/s > Higher Is Better
a . 384930 |===================================================================
b . 384820 |===================================================================
d . 384423 |===================================================================
e . 194980 |==================================
g . 139540 |========================
h . 140170 |========================
j . 278140 |================================================
k . 278150 |================================================
n . 385290 |===================================================================
DuckDB 0.9.1
Benchmark: IMDB
Seconds < Lower Is Better
a . 259.42 |===================================================================
d . 259.28 |===================================================================
DuckDB 0.9.1
Benchmark: TPC-H Parquet
Seconds < Lower Is Better
a . 178.04 |===================================================================
d . 178.83 |===================================================================
Timed Gem5 Compilation 23.0.1
Time To Compile
Seconds < Lower Is Better
e . 197.55 |=============================================================
g . 206.08 |================================================================
h . 216.88 |===================================================================
j . 195.49 |============================================================
k . 197.95 |=============================================================
l . 168.58 |====================================================
m . 162.39 |==================================================
n . 165.81 |===================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16 - Device: CPU
FPS > Higher Is Better
e . 77.69 |========================
g . 104.31 |================================
h . 104.12 |================================
j . 193.11 |===========================================================
k . 191.20 |===========================================================
l . 218.22 |===================================================================
m . 218.39 |===================================================================
n . 217.79 |===================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16 - Device: CPU
ms < Lower Is Better
e . 385.45 |===================================================================
g . 114.95 |====================
h . 115.13 |====================
j . 124.17 |======================
k . 125.39 |======================
l . 137.34 |========================
m . 137.23 |========================
n . 137.61 |========================
OpenVINO 2023.2.dev
Model: Face Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
e . 165.82 |===========================
g . 196.21 |================================
h . 196.28 |================================
j . 370.50 |============================================================
k . 365.91 |===========================================================
l . 415.38 |===================================================================
m . 415.53 |===================================================================
n . 414.39 |===================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
e . 360.89 |===================================================================
g . 244.29 |=============================================
h . 244.11 |=============================================
j . 258.62 |================================================
k . 261.89 |=================================================
l . 288.36 |======================================================
m . 288.29 |======================================================
n . 289.07 |======================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
FPS > Higher Is Better
e . 86847.05 |=======================================
g . 90384.31 |========================================
h . 88444.43 |=======================================
j . 115992.72 |===================================================
k . 103901.05 |==============================================
l . 144299.06 |================================================================
m . 142293.67 |===============================================================
n . 142499.69 |===============================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
ms < Lower Is Better
e . 0.61 |=====================================================================
g . 0.51 |==========================================================
h . 0.52 |===========================================================
j . 0.41 |==============================================
k . 0.41 |==============================================
l . 0.37 |==========================================
m . 0.38 |===========================================
n . 0.38 |===========================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
FPS > Higher Is Better
e . 106187.70 |=============================================
g . 131083.06 |=======================================================
h . 131445.26 |=======================================================
j . 114581.51 |================================================
k . 119756.16 |===================================================
l . 151691.73 |================================================================
m . 150804.01 |================================================================
n . 146682.31 |==============================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
ms < Lower Is Better
e . 0.48 |=====================================================================
g . 0.30 |===========================================
h . 0.30 |===========================================
j . 0.31 |=============================================
k . 0.31 |=============================================
l . 0.29 |==========================================
m . 0.29 |==========================================
n . 0.29 |==========================================
OpenVINO 2023.2.dev
Model: Person Detection FP16 - Device: CPU
FPS > Higher Is Better
e . 290.36 |==============================
g . 339.17 |====================================
h . 339.22 |====================================
j . 632.07 |==================================================================
k . 626.67 |==================================================================
l . 636.90 |===================================================================
m . 638.13 |===================================================================
n . 638.56 |===================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP16 - Device: CPU
ms < Lower Is Better
e . 103.21 |===================================================================
g . 35.35 |=======================
h . 35.35 |=======================
j . 37.93 |=========================
k . 38.26 |=========================
l . 47.07 |===============================
m . 46.98 |==============================
n . 46.94 |==============================
OpenVINO 2023.2.dev
Model: Person Detection FP32 - Device: CPU
FPS > Higher Is Better
e . 290.88 |==============================
g . 338.84 |===================================
h . 338.61 |===================================
j . 631.31 |==================================================================
k . 627.12 |==================================================================
l . 636.48 |===================================================================
m . 639.58 |===================================================================
n . 635.92 |===================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP32 - Device: CPU
ms < Lower Is Better
e . 103.01 |===================================================================
g . 35.39 |=======================
h . 35.41 |=======================
j . 37.98 |=========================
k . 38.23 |=========================
l . 47.10 |===============================
m . 46.87 |==============================
n . 47.14 |===============================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
e . 16489.33 |=======================
g . 19358.98 |===========================
h . 19208.93 |==========================
j . 35303.47 |================================================
k . 34620.99 |===============================================
l . 47357.41 |=================================================================
m . 47468.22 |=================================================================
n . 47369.39 |=================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
e . 3.51 |=====================================================================
g . 2.47 |=================================================
h . 2.49 |=================================================
j . 2.68 |=====================================================
k . 2.74 |======================================================
l . 2.52 |==================================================
m . 2.51 |=================================================
n . 2.52 |==================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16 - Device: CPU
FPS > Higher Is Better
e . 9078.33 |======================
g . 10978.58 |==========================
h . 11783.36 |============================
j . 21815.71 |====================================================
k . 21635.47 |====================================================
l . 27232.91 |=================================================================
m . 27109.50 |=================================================================
n . 27112.85 |=================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16 - Device: CPU
ms < Lower Is Better
e . 6.44 |=====================================================================
g . 4.36 |===============================================
h . 4.06 |============================================
j . 4.38 |===============================================
k . 4.42 |===============================================
l . 4.35 |===============================================
m . 4.35 |===============================================
n . 4.35 |===============================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
e . 3221.62 |==================================
g . 3319.81 |===================================
h . 3314.00 |===================================
j . 6234.26 |==================================================================
k . 6196.74 |==================================================================
l . 5831.93 |==============================================================
m . 5825.24 |==============================================================
n . 5799.67 |=============================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
e . 18.43 |=============================================================
g . 14.44 |================================================
h . 14.46 |================================================
j . 15.33 |===================================================
k . 15.43 |===================================================
l . 20.51 |====================================================================
m . 20.53 |====================================================================
n . 20.62 |====================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16 - Device: CPU
FPS > Higher Is Better
e . 1878.87 |================================
g . 1884.46 |================================
h . 1889.02 |================================
j . 3484.18 |===========================================================
k . 3465.57 |===========================================================
l . 3893.77 |==================================================================
m . 3895.49 |==================================================================
n . 3895.01 |==================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16 - Device: CPU
ms < Lower Is Better
e . 15.86 |====================================================================
g . 6.35 |===========================
h . 6.34 |===========================
j . 6.87 |=============================
k . 6.90 |==============================
l . 7.69 |=================================
m . 7.69 |=================================
n . 7.69 |=================================
OpenVINO 2023.2.dev
Model: Person Vehicle Bike Detection FP16 - Device: CPU
FPS > Higher Is Better
e . 3566.26 |===============================
g . 3685.78 |================================
h . 3678.97 |================================
j . 6992.06 |============================================================
k . 7049.72 |=============================================================
l . 7617.42 |==================================================================
m . 7626.39 |==================================================================
n . 7650.29 |==================================================================
OpenVINO 2023.2.dev
Model: Person Vehicle Bike Detection FP16 - Device: CPU
ms < Lower Is Better
e . 16.72 |====================================================================
g . 13.00 |=====================================================
h . 13.03 |=====================================================
j . 13.68 |========================================================
k . 13.59 |=======================================================
l . 15.66 |================================================================
m . 15.63 |================================================================
n . 15.59 |===============================================================
OpenVINO 2023.2.dev
Model: Machine Translation EN To DE FP16 - Device: CPU
FPS > Higher Is Better
e . 462.66 |======================================
g . 433.90 |====================================
h . 430.23 |====================================
j . 806.26 |===================================================================
k . 803.87 |===================================================================
l . 733.98 |=============================================================
m . 744.86 |==============================================================
n . 729.58 |=============================================================
OpenVINO 2023.2.dev
Model: Machine Translation EN To DE FP16 - Device: CPU
ms < Lower Is Better
e . 64.66 |====================================================================
g . 27.53 |=============================
h . 27.75 |=============================
j . 29.63 |===============================
k . 29.75 |===============================
l . 40.61 |===========================================
m . 40.04 |==========================================
n . 40.90 |===========================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16 - Device: CPU
FPS > Higher Is Better
e . 6106.91 |===========================
g . 6581.71 |=============================
h . 6566.24 |=============================
j . 12561.59 |=======================================================
k . 12534.63 |=======================================================
l . 14938.83 |=================================================================
m . 14932.70 |=================================================================
n . 14888.49 |=================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16 - Device: CPU
ms < Lower Is Better
e . 9.66 |=====================================================================
g . 7.28 |====================================================
h . 7.30 |====================================================
j . 7.62 |======================================================
k . 7.64 |=======================================================
l . 8.02 |=========================================================
m . 8.02 |=========================================================
n . 8.05 |==========================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16-INT8 - Device: CPU
FPS > Higher Is Better
e . 9344.43 |=============================
g . 8871.46 |===========================
h . 8855.95 |===========================
j . 16935.65 |====================================================
k . 16935.03 |====================================================
l . 21075.26 |=================================================================
m . 21071.09 |=================================================================
n . 21033.04 |=================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16-INT8 - Device: CPU
ms < Lower Is Better
e . 6.28 |=====================================================================
g . 5.40 |===========================================================
h . 5.41 |===========================================================
j . 5.65 |==============================================================
k . 5.65 |==============================================================
l . 5.68 |==============================================================
m . 5.68 |==============================================================
n . 5.69 |===============================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16 - Device: CPU
FPS > Higher Is Better
e . 1545.36 |=======================
g . 1979.56 |=============================
h . 1988.30 |==============================
j . 3910.94 |==========================================================
k . 3918.19 |==========================================================
l . 4387.28 |=================================================================
m . 4379.43 |=================================================================
n . 4433.69 |==================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16 - Device: CPU
ms < Lower Is Better
e . 38.54 |====================================================================
g . 24.23 |===========================================
h . 24.12 |===========================================
j . 24.52 |===========================================
k . 24.48 |===========================================
l . 27.30 |================================================
m . 27.35 |================================================
n . 27.04 |================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
FPS > Higher Is Better
e . 1224.11 |===========================
g . 1200.82 |==========================
h . 1192.76 |==========================
j . 2375.20 |====================================================
k . 2377.19 |====================================================
l . 3004.85 |==================================================================
m . 3004.85 |==================================================================
n . 2991.51 |==================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
ms < Lower Is Better
e . 48.77 |====================================================================
g . 39.95 |========================================================
h . 40.22 |========================================================
j . 40.39 |========================================================
k . 40.36 |========================================================
l . 39.91 |========================================================
m . 39.91 |========================================================
n . 40.09 |========================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16 - Device: CPU
FPS > Higher Is Better
e . 751.14 |================================
g . 682.77 |=============================
h . 681.90 |=============================
j . 1283.22 |=======================================================
k . 1273.73 |=======================================================
l . 1530.63 |==================================================================
m . 1531.37 |==================================================================
n . 1530.84 |==================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16 - Device: CPU
ms < Lower Is Better
e . 39.86 |====================================================================
g . 17.55 |==============================
h . 17.58 |==============================
j . 18.68 |================================
k . 18.82 |================================
l . 19.58 |=================================
m . 19.57 |=================================
n . 19.58 |=================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
FPS > Higher Is Better
e . 1101.87 |======================================
g . 923.91 |================================
h . 925.43 |================================
j . 1712.71 |===========================================================
k . 1709.38 |===========================================================
l . 1914.91 |==================================================================
m . 1915.98 |==================================================================
n . 1912.82 |==================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
ms < Lower Is Better
e . 54.30 |===========================================================
g . 51.91 |========================================================
h . 51.84 |========================================================
j . 56.00 |=============================================================
k . 56.11 |=============================================================
l . 62.61 |====================================================================
m . 62.56 |====================================================================
n . 62.67 |====================================================================
C-Blosc 2.11
Test: blosclz shuffle - Buffer Size: 8MB
MB/s > Higher Is Better
l . 14338.2 |==================================================================
m . 14241.2 |==================================================================
n . 14082.4 |=================================================================
C-Blosc 2.11
Test: blosclz shuffle - Buffer Size: 16MB
MB/s > Higher Is Better
l . 16680.2 |==================================================================
m . 16762.6 |==================================================================
n . 16392.9 |=================================================================
C-Blosc 2.11
Test: blosclz shuffle - Buffer Size: 32MB
MB/s > Higher Is Better
l . 16111.4 |==================================================================
m . 16050.9 |==================================================================
n . 15827.9 |=================================================================
C-Blosc 2.11
Test: blosclz shuffle - Buffer Size: 64MB
MB/s > Higher Is Better
l . 12239.3 |==================================================================
m . 12161.8 |==================================================================
n . 12008.0 |=================================================================
C-Blosc 2.11
Test: blosclz noshuffle - Buffer Size: 8MB
MB/s > Higher Is Better
l . 12794.5 |==================================================================
m . 12855.3 |==================================================================
n . 12742.3 |=================================================================
C-Blosc 2.11
Test: blosclz shuffle - Buffer Size: 128MB
MB/s > Higher Is Better
l . 8707.4 |===================================================================
m . 8640.0 |==================================================================
n . 8564.3 |==================================================================
C-Blosc 2.11
Test: blosclz shuffle - Buffer Size: 256MB
MB/s > Higher Is Better
l . 5519.3 |==================================================================
m . 5580.3 |===================================================================
n . 5520.6 |==================================================================
C-Blosc 2.11
Test: blosclz bitshuffle - Buffer Size: 8MB
MB/s > Higher Is Better
l . 14873.2 |==================================================================
m . 14846.5 |==================================================================
n . 14815.4 |==================================================================
C-Blosc 2.11
Test: blosclz noshuffle - Buffer Size: 16MB
MB/s > Higher Is Better
l . 15231.9 |==================================================================
m . 15269.2 |==================================================================
n . 15041.6 |=================================================================
C-Blosc 2.11
Test: blosclz noshuffle - Buffer Size: 32MB
MB/s > Higher Is Better
l . 14712.6 |==================================================================
m . 14746.7 |==================================================================
n . 14569.9 |=================================================================
C-Blosc 2.11
Test: blosclz noshuffle - Buffer Size: 64MB
MB/s > Higher Is Better
l . 11321.9 |==================================================================
m . 11315.0 |==================================================================
n . 11238.1 |==================================================================
C-Blosc 2.11
Test: blosclz bitshuffle - Buffer Size: 16MB
MB/s > Higher Is Better
l . 16895.0 |==================================================================
m . 16810.4 |==================================================================
n . 16633.4 |=================================================================
C-Blosc 2.11
Test: blosclz bitshuffle - Buffer Size: 32MB
MB/s > Higher Is Better
l . 15811.9 |==================================================================
m . 15827.9 |==================================================================
n . 15691.0 |=================================================================
C-Blosc 2.11
Test: blosclz bitshuffle - Buffer Size: 64MB
MB/s > Higher Is Better
l . 11927.7 |==================================================================
m . 11905.5 |==================================================================
n . 11839.7 |==================================================================
C-Blosc 2.11
Test: blosclz noshuffle - Buffer Size: 128MB
MB/s > Higher Is Better
l . 8089.4 |===================================================================
m . 8059.2 |===================================================================
n . 7960.2 |==================================================================
C-Blosc 2.11
Test: blosclz noshuffle - Buffer Size: 256MB
MB/s > Higher Is Better
l . 5409.4 |===================================================================
m . 5333.4 |==================================================================
n . 5324.3 |==================================================================
C-Blosc 2.11
Test: blosclz bitshuffle - Buffer Size: 128MB
MB/s > Higher Is Better
l . 8697.6 |==================================================================
m . 8864.5 |===================================================================
n . 8289.6 |===============================================================
C-Blosc 2.11
Test: blosclz bitshuffle - Buffer Size: 256MB
MB/s > Higher Is Better
l . 5615.4 |===================================================================
m . 5389.3 |================================================================
n . 5455.4 |=================================================================
QMCPACK 3.17.1
Input: H4_ae
Total Execution Time - Seconds < Lower Is Better
l . 12.52 |===================================================================
m . 12.68 |====================================================================
n . 12.70 |====================================================================
QMCPACK 3.17.1
Input: Li2_STO_ae
Total Execution Time - Seconds < Lower Is Better
l . 99.82 |====================================================================
m . 98.18 |===================================================================
n . 99.26 |====================================================================
QMCPACK 3.17.1
Input: LiH_ae_MSD
Total Execution Time - Seconds < Lower Is Better
l . 94.27 |====================================================================
m . 94.02 |====================================================================
n . 94.30 |====================================================================
QMCPACK 3.17.1
Input: simple-H2O
Total Execution Time - Seconds < Lower Is Better
l . 29.29 |====================================================================
m . 29.19 |====================================================================
n . 29.15 |====================================================================
QMCPACK 3.17.1
Input: O_ae_pyscf_UHF
Total Execution Time - Seconds < Lower Is Better
l . 214.65 |===================================================================
m . 207.84 |=================================================================
n . 208.62 |=================================================================
QMCPACK 3.17.1
Input: FeCO6_b3lyp_gms
Total Execution Time - Seconds < Lower Is Better
l . 128.73 |===================================================================
m . 129.20 |===================================================================
n . 129.23 |===================================================================