Geekbench ML Score

5982
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2

Result Information

Upload Date August 17 2024 02:43 PM
Views 3

System Information

System Information
Operating System Microsoft Windows 11 Home (64-bit)
Model LG Electronics 16Z90SP-A.AD8BA1
Motherboard LG Electronics 16Z90SP
Power PlanBalanced
CPU Information
Name Intel Core Ultra 7 155H
Topology 1 Processor, 16 Cores, 22 Threads
Identifier GenuineIntel Family 6 Model 170 Stepping 4
Base Frequency 3.80 GHz
Cluster 16 Cores
Cluster 210 Cores
L1 Instruction Cache64.0 KB x 11
L1 Data Cache48.0 KB x 11
L2 Cache2.00 MB x 2
L3 Cache24.0 MB x 1
Memory Information
Size 32.00 GB
Inference Information
Framework ONNX
Backend DirectML
Device NVIDIA GeForce RTX 3050 4GB Laptop GPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 2945
551.1 IPS
 
Image Classification (F16)
100% 2952
552.4 IPS
 
Image Classification (I8)
100% 2354
440.6 IPS
 
Image Segmentation (F32)
100% 3968
66.3 IPS
 
Image Segmentation (F16)
100% 3871
64.7 IPS
 
Image Segmentation (I8)
98% 3309
55.3 IPS
 
Pose Estimation (F32)
100% 28773
34.8 IPS
 
Pose Estimation (F16)
100% 28634
34.7 IPS
 
Pose Estimation (I8)
100% 23071
27.9 IPS
 
Object Detection (F32)
100% 2838
211.9 IPS
 
Object Detection (F16)
100% 2879
214.9 IPS
 
Object Detection (I8)
61% 2476
184.8 IPS
 
Face Detection (F32)
100% 6099
72.5 IPS
 
Face Detection (F16)
100% 6160
73.2 IPS
 
Face Detection (I8)
89% 4734
56.3 IPS
 
Depth Estimation (F32)
100% 14957
116.0 IPS
 
Depth Estimation (F16)
100% 15641
121.3 IPS
 
Depth Estimation (I8)
95% 11897
92.3 IPS
 
Style Transfer (F32)
100% 60495
79.6 IPS
 
Style Transfer (F16)
100% 59690
78.5 IPS
 
Style Transfer (I8)
98% 45640
60.0 IPS
 
Image Super-Resolution (F32)
100% 10701
382.2 IPS
 
Image Super-Resolution (F16)
100% 9683
345.8 IPS
 
Image Super-Resolution (I8)
99% 5892
210.4 IPS
 
Text Classification (F32)
100% 1413
2.03 KIPS
 
Text Classification (F16)
100% 1420
2.04 KIPS
 
Text Classification (I8)
98% 999
1.44 KIPS
 
Machine Translation (F32)
100% 2163
39.8 IPS
 
Machine Translation (F16)
100% 2152
39.6 IPS
 
Machine Translation (I8)
70% 1089
20.0 IPS
 

Compare

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