Geekbench AI Score

1339
Single Precision Score
1183
Half Precision Score
1530
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2

Result Information

Upload Date April 02 2025 07:10 AM
Views 3

System Information

AI Information
Framework OpenVINO
Backend CPU
Device 13th Gen Intel(R) Core(TM) i5-13600HRE
System Information
Operating System Microsoft Windows 10 IoT Enterprise LTSC (64-bit)
Model ADLINK Technology Inc. AVA-7200
Motherboard ADLINK Technology Inc. AVA-7200
Power PlanHigh performance
CPU Information
Name 13th Gen Intel(R) Core(TM) i5-13600HRE
Topology 1 Processor, 12 Cores, 16 Threads
Identifier GenuineIntel Family 6 Model 186 Stepping 2
Base Frequency 2.70 GHz
Cluster 14 Cores
Cluster 28 Cores
Memory Information
Size 32.00 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 496
92.2 IPS
 
Image Classification (HP)
100% 497
92.5 IPS
 
Image Classification (Q)
100% 853
158.6 IPS
 
Image Segmentation (SP)
100% 690
11.2 IPS
 
Image Segmentation (HP)
100% 693
11.2 IPS
 
Image Segmentation (Q)
99% 743
12.1 IPS
 
Pose Estimation (SP)
100% 1098
1.28 IPS
 
Pose Estimation (HP)
100% 1098
1.28 IPS
 
Pose Estimation (Q)
96% 2225
2.61 IPS
 
Object Detection (SP)
100% 511
40.5 IPS
 
Object Detection (HP)
100% 508
40.3 IPS
 
Object Detection (Q)
88% 889
71.3 IPS
 
Face Detection (SP)
100% 1630
19.4 IPS
 
Face Detection (HP)
100% 1610
19.1 IPS
 
Face Detection (Q)
100% 1947
23.1 IPS
 
Depth Estimation (SP)
100% 2820
21.7 IPS
 
Depth Estimation (HP)
99% 1296
9.98 IPS
 
Depth Estimation (Q)
89% 2204
17.1 IPS
 
Style Transfer (SP)
100% 8873
11.4 IPS
 
Style Transfer (HP)
100% 6333
8.14 IPS
 
Style Transfer (Q)
98% 6081
7.84 IPS
 
Image Super-Resolution (SP)
100% 1349
49.8 IPS
 
Image Super-Resolution (HP)
100% 1514
55.9 IPS
 
Image Super-Resolution (Q)
99% 1304
48.3 IPS
 
Text Classification (SP)
100% 1018
1.36 KIPS
 
Text Classification (HP)
100% 1023
1.37 KIPS
 
Text Classification (Q)
92% 977
1.31 KIPS
 
Machine Translation (SP)
100% 1723
29.7 IPS
 
Machine Translation (HP)
100% 1366
23.5 IPS
 
Machine Translation (Q)
100% 1694
29.2 IPS
 

Compare

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