Geekbench ML Score

11360
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2

Result Information

Upload Date July 19 2024 08:49 AM
Views 4

System Information

System Information
Operating System Microsoft Windows 11 Pro (64-bit)
Model Micro-Star International Co., Ltd. MS-7D32
Motherboard Micro-Star International Co., Ltd. MAG Z690 TOMAHAWK WIFI (MS-7D32)
Power PlanBalanced
CPU Information
Name Intel Core i9-14900K
Topology 1 Processor, 24 Cores, 32 Threads
Identifier GenuineIntel Family 6 Model 183 Stepping 1
Base Frequency 3.20 GHz
Cluster 18 Cores
Cluster 216 Cores
L1 Instruction Cache32.0 KB x 16
L1 Data Cache48.0 KB x 16
L2 Cache2.00 MB x 4
L3 Cache36.0 MB x 1
Memory Information
Size 32.00 GB
Inference Information
Framework ONNX
Backend DirectML
Device NVIDIA GeForce RTX 3060

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 5380
1.01 KIPS
 
Image Classification (F16)
100% 5588
1.05 KIPS
 
Image Classification (I8)
100% 3864
723.0 IPS
 
Image Segmentation (F32)
100% 9012
150.5 IPS
 
Image Segmentation (F16)
100% 8582
143.3 IPS
 
Image Segmentation (I8)
98% 7046
117.7 IPS
 
Pose Estimation (F32)
100% 67369
81.6 IPS
 
Pose Estimation (F16)
100% 66415
80.4 IPS
 
Pose Estimation (I8)
100% 54913
66.5 IPS
 
Object Detection (F32)
100% 5245
391.5 IPS
 
Object Detection (F16)
100% 5040
376.2 IPS
 
Object Detection (I8)
61% 4151
309.9 IPS
 
Face Detection (F32)
100% 14405
171.3 IPS
 
Face Detection (F16)
100% 14296
170.0 IPS
 
Face Detection (I8)
89% 9933
118.1 IPS
 
Depth Estimation (F32)
100% 30937
239.9 IPS
 
Depth Estimation (F16)
100% 30591
237.2 IPS
 
Depth Estimation (I8)
95% 21245
164.8 IPS
 
Style Transfer (F32)
100% 117817
155.0 IPS
 
Style Transfer (F16)
100% 108811
143.1 IPS
 
Style Transfer (I8)
98% 92208
121.3 IPS
 
Image Super-Resolution (F32)
100% 22352
798.3 IPS
 
Image Super-Resolution (F16)
100% 21242
758.6 IPS
 
Image Super-Resolution (I8)
99% 13505
482.3 IPS
 
Text Classification (F32)
100% 2246
3.23 KIPS
 
Text Classification (F16)
100% 2217
3.19 KIPS
 
Text Classification (I8)
98% 1139
1.64 KIPS
 
Machine Translation (F32)
100% 3323
61.1 IPS
 
Machine Translation (F16)
100% 3370
62.0 IPS
 
Machine Translation (I8)
70% 1359
25.0 IPS
 

Compare

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