Geekbench ML Score

4431
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2

Result Information

User vod19ka
Upload Date August 01 2024 07:08 PM
Views 2

System Information

System Information
Operating System Microsoft Windows 11 Home Single Language (64-bit)
Model ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G634JZR_G634JZR
Motherboard ASUSTeK COMPUTER INC. G634JZR
Power PlanTurbo
CPU Information
Name Intel Core i9-14900HX
Topology 1 Processor, 24 Cores, 32 Threads
Identifier GenuineIntel Family 6 Model 183 Stepping 1
Base Frequency 2.20 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 CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 2428
454.4 IPS
 
Image Classification (F16)
100% 2301
430.6 IPS
 
Image Classification (I8)
99% 3838
718.2 IPS
 
Image Segmentation (F32)
100% 2101
35.1 IPS
 
Image Segmentation (F16)
100% 2094
35.0 IPS
 
Image Segmentation (I8)
98% 3153
52.7 IPS
 
Pose Estimation (F32)
100% 10252
12.4 IPS
 
Pose Estimation (F16)
100% 10227
12.4 IPS
 
Pose Estimation (I8)
100% 29452
35.7 IPS
 
Object Detection (F32)
100% 2348
175.3 IPS
 
Object Detection (F16)
100% 2166
161.7 IPS
 
Object Detection (I8)
62% 1897
141.6 IPS
 
Face Detection (F32)
100% 4646
55.2 IPS
 
Face Detection (F16)
100% 4609
54.8 IPS
 
Face Detection (I8)
89% 4650
55.3 IPS
 
Depth Estimation (F32)
100% 9697
75.2 IPS
 
Depth Estimation (F16)
100% 9467
73.4 IPS
 
Depth Estimation (I8)
96% 15419
119.6 IPS
 
Style Transfer (F32)
100% 22761
29.9 IPS
 
Style Transfer (F16)
100% 21993
28.9 IPS
 
Style Transfer (I8)
98% 25073
33.0 IPS
 
Image Super-Resolution (F32)
100% 4246
151.6 IPS
 
Image Super-Resolution (F16)
100% 4315
154.1 IPS
 
Image Super-Resolution (I8)
99% 5159
184.2 IPS
 
Text Classification (F32)
100% 1591
2.29 KIPS
 
Text Classification (F16)
100% 1573
2.26 KIPS
 
Text Classification (I8)
98% 463
666.0 IPS
 
Machine Translation (F32)
100% 2262
41.6 IPS
 
Machine Translation (F16)
100% 2172
40.0 IPS
 
Machine Translation (I8)
67% 2963
54.5 IPS
 

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