Geekbench AI Score

472
Single Precision Score
471
Half Precision Score
905
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)

Result Information

User Yegor99
Upload Date June 22 2025 10:26 AM
Views 7
Notes Upgrade 2 Windows 10 Pro 22H2 x64

System Information

AI Information
Framework OpenVINO
Backend CPU
Device Intel(R) Core(TM) i7 CPU 860 @ 2.80GHz
System Information
Operating System Microsoft Windows 10 Pro (64-bit)
Model Gigabyte Technology Co., Ltd. P55-UD3R
Motherboard Gigabyte Technology Co., Ltd. P55-UD3R
Power PlanHigh performance
CPU Information
Name Intel Core i7-860
Topology 1 Processor, 4 Cores, 8 Threads
Identifier GenuineIntel Family 6 Model 30 Stepping 5
Base Frequency 2.80 GHz
Cluster 14 Cores
Memory Information
Size 16.00 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 285
53.0 IPS
 
Image Classification (HP)
100% 282
52.4 IPS
 
Image Classification (Q)
100% 616
114.6 IPS
 
Image Segmentation (SP)
100% 368
5.97 IPS
 
Image Segmentation (HP)
100% 365
5.92 IPS
 
Image Segmentation (Q)
99% 706
11.5 IPS
 
Pose Estimation (SP)
100% 511
0.60 IPS
 
Pose Estimation (HP)
100% 510
0.60 IPS
 
Pose Estimation (Q)
94% 1309
1.54 IPS
 
Object Detection (SP)
100% 273
21.7 IPS
 
Object Detection (HP)
100% 273
21.6 IPS
 
Object Detection (Q)
87% 611
49.0 IPS
 
Face Detection (SP)
100% 874
10.4 IPS
 
Face Detection (HP)
100% 877
10.4 IPS
 
Face Detection (Q)
97% 1701
20.3 IPS
 
Depth Estimation (SP)
100% 715
5.51 IPS
 
Depth Estimation (HP)
99% 713
5.50 IPS
 
Depth Estimation (Q)
81% 1518
12.0 IPS
 
Style Transfer (SP)
100% 1222
1.57 IPS
 
Style Transfer (HP)
100% 1198
1.54 IPS
 
Style Transfer (Q)
98% 3882
5.01 IPS
 
Image Super-Resolution (SP)
100% 320
11.8 IPS
 
Image Super-Resolution (HP)
100% 321
11.8 IPS
 
Image Super-Resolution (Q)
98% 785
29.1 IPS
 
Text Classification (SP)
100% 341
454.7 IPS
 
Text Classification (HP)
100% 348
465.0 IPS
 
Text Classification (Q)
91% 299
402.2 IPS
 
Machine Translation (SP)
100% 452
7.78 IPS
 
Machine Translation (HP)
100% 452
7.79 IPS
 
Machine Translation (Q)
100% 454
7.81 IPS
 

Compare

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