Geekbench AI Score

13745
Single Precision Score
24226
Half Precision Score
11042
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2

Result Information

User Ansible212
Upload Date December 15 2024 04:52 PM
Views 1

System Information

AI Information
Framework ONNX
Backend DirectML
Device NVIDIA RTX 2000 Ada Generation
System Information
Operating System Microsoft Windows 11 Pro (64-bit)
Model LENOVO 30HACTO1WW
Motherboard LENOVO 1066
Power PlanUltimate Performance
CPU Information
Name Intel Core i9-13900
Topology 1 Processor, 24 Cores, 32 Threads
Identifier GenuineIntel Family 6 Model 183 Stepping 1
Base Frequency 2.00 GHz
Cluster 18 Cores
Cluster 216 Cores
Memory Information
Size 128.00 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 5927
1.10 KIPS
 
Image Classification (HP)
99% 11060
2.06 KIPS
 
Image Classification (Q)
99% 5335
995.2 IPS
 
Image Segmentation (SP)
100% 9144
148.2 IPS
 
Image Segmentation (HP)
100% 12485
202.4 IPS
 
Image Segmentation (Q)
98% 8403
136.6 IPS
 
Pose Estimation (SP)
100% 61042
71.2 IPS
 
Pose Estimation (HP)
100% 198539
231.7 IPS
 
Pose Estimation (Q)
96% 53894
63.1 IPS
 
Object Detection (SP)
100% 7208
571.7 IPS
 
Object Detection (HP)
100% 12280
974.1 IPS
 
Object Detection (Q)
84% 6505
524.7 IPS
 
Face Detection (SP)
100% 15791
187.6 IPS
 
Face Detection (HP)
100% 26124
310.4 IPS
 
Face Detection (Q)
97% 14036
167.4 IPS
 
Depth Estimation (SP)
100% 30419
234.4 IPS
 
Depth Estimation (HP)
99% 62393
480.7 IPS
 
Depth Estimation (Q)
77% 26155
209.7 IPS
 
Style Transfer (SP)
100% 109810
141.2 IPS
 
Style Transfer (HP)
100% 294811
379.0 IPS
 
Style Transfer (Q)
98% 99696
128.6 IPS
 
Image Super-Resolution (SP)
100% 22542
832.4 IPS
 
Image Super-Resolution (HP)
100% 38900
1.44 KIPS
 
Image Super-Resolution (Q)
99% 16922
626.6 IPS
 
Text Classification (SP)
100% 2886
3.85 KIPS
 
Text Classification (HP)
99% 3502
4.67 KIPS
 
Text Classification (Q)
97% 1802
2.41 KIPS
 
Machine Translation (SP)
100% 2943
50.7 IPS
 
Machine Translation (HP)
100% 3160
54.4 IPS
 
Machine Translation (Q)
70% 1537
28.8 IPS
 

Compare

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