Geekbench AI Score

5892
Single Precision Score
5852
Half Precision Score
14306
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2

Result Information

User opensourceeverywhere
Upload Date December 01 2024 12:59 PM
Views 552
Notes Intel Core Ultra 7 265K - DDR5 7800MHz - Scythe Mugen 6 + Arctic S12038-4K - Micro-Star International Co., Ltd. MS-7E32 - Intel Base Line Profil - Windows Balance (Energiesetting)

System Information

AI Information
Framework OpenVINO
Backend CPU
Device Intel(R) Core(TM) Ultra 7 265K
System Information
Operating System Microsoft Windows 11 Pro (64-bit)
Model Micro-Star International Co., Ltd. MS-7E32
Motherboard Micro-Star International Co., Ltd. MAG Z890 TOMAHAWK WIFI (MS-7E32)
Power PlanAusbalanciert
CPU Information
Name Intel(R) Core(TM) Ultra 7 265K
Topology 1 Processor, 20 Cores
Identifier GenuineIntel Family 6 Model 198 Stepping 2
Base Frequency 3.90 GHz
Cluster 18 Cores
Cluster 212 Cores
Memory Information
Size 32.00 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 4061
755.2 IPS
 
Image Classification (HP)
100% 4298
799.3 IPS
 
Image Classification (Q)
100% 9934
1.85 KIPS
 
Image Segmentation (SP)
100% 3944
63.9 IPS
 
Image Segmentation (HP)
100% 3957
64.1 IPS
 
Image Segmentation (Q)
99% 7647
124.0 IPS
 
Pose Estimation (SP)
100% 8587
10.0 IPS
 
Pose Estimation (HP)
100% 8547
9.97 IPS
 
Pose Estimation (Q)
96% 32407
38.0 IPS
 
Object Detection (SP)
100% 4056
321.7 IPS
 
Object Detection (HP)
100% 4088
324.3 IPS
 
Object Detection (Q)
88% 10351
829.8 IPS
 
Face Detection (SP)
100% 12726
151.2 IPS
 
Face Detection (HP)
100% 12838
152.5 IPS
 
Face Detection (Q)
100% 27596
327.9 IPS
 
Depth Estimation (SP)
100% 10742
82.8 IPS
 
Depth Estimation (HP)
99% 10938
84.3 IPS
 
Depth Estimation (Q)
89% 28721
223.3 IPS
 
Style Transfer (SP)
100% 25628
32.9 IPS
 
Style Transfer (HP)
100% 25603
32.9 IPS
 
Style Transfer (Q)
98% 91815
118.4 IPS
 
Image Super-Resolution (SP)
100% 5291
195.4 IPS
 
Image Super-Resolution (HP)
100% 5295
195.5 IPS
 
Image Super-Resolution (Q)
99% 17021
630.3 IPS
 
Text Classification (SP)
100% 1568
2.09 KIPS
 
Text Classification (HP)
100% 1570
2.10 KIPS
 
Text Classification (Q)
92% 4500
6.05 KIPS
 
Machine Translation (SP)
100% 3115
53.7 IPS
 
Machine Translation (HP)
100% 2655
45.7 IPS
 
Machine Translation (Q)
100% 2529
43.6 IPS
 

Compare

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