Geekbench AI Score

6020
Single Precision Score
9093
Half Precision Score
13666
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2

Result Information

User opensourceeverywhere
Upload Date December 01 2024 01:04 PM
Views 24
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 GPU
Device Intel(R) Graphics (iGPU)
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% 3949
734.4 IPS
 
Image Classification (HP)
100% 6037
1.12 KIPS
 
Image Classification (Q)
100% 8177
1.52 KIPS
 
Image Segmentation (SP)
100% 4391
71.2 IPS
 
Image Segmentation (HP)
100% 8511
138.0 IPS
 
Image Segmentation (Q)
99% 11801
191.3 IPS
 
Pose Estimation (SP)
100% 12193
14.2 IPS
 
Pose Estimation (HP)
99% 11366
13.3 IPS
 
Pose Estimation (Q)
97% 35238
41.3 IPS
 
Object Detection (SP)
100% 3658
290.1 IPS
 
Object Detection (HP)
100% 5830
462.4 IPS
 
Object Detection (Q)
88% 9032
723.8 IPS
 
Face Detection (SP)
100% 9171
109.0 IPS
 
Face Detection (HP)
100% 17444
207.3 IPS
 
Face Detection (Q)
100% 26512
315.0 IPS
 
Depth Estimation (SP)
100% 13002
100.2 IPS
 
Depth Estimation (HP)
98% 22912
177.1 IPS
 
Depth Estimation (Q)
89% 26020
202.2 IPS
 
Style Transfer (SP)
100% 30131
38.7 IPS
 
Style Transfer (HP)
100% 42723
54.9 IPS
 
Style Transfer (Q)
98% 87198
112.4 IPS
 
Image Super-Resolution (SP)
100% 5362
198.0 IPS
 
Image Super-Resolution (HP)
100% 8566
316.3 IPS
 
Image Super-Resolution (Q)
99% 14634
542.0 IPS
 
Text Classification (SP)
71% 1908
2.76 KIPS
 
Text Classification (HP)
71% 2545
3.68 KIPS
 
Text Classification (Q)
92% 2731
3.67 KIPS
 
Machine Translation (SP)
100% 2199
37.9 IPS
 
Machine Translation (HP)
96% 3052
52.8 IPS
 
Machine Translation (Q)
100% 3078
53.0 IPS
 

Compare

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