Grand Fury i75 U2 OC Gigabyte Technology Co., Ltd. P55-UD3R
Geekbench AI Score
663
Single Precision Score
663
Half Precision Score
1297
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | Yegor99 |
| Upload Date | July 14 2025 04:58 PM |
| Views | 7 |
| Notes | Upgrade 2 Windows 10 Pro 22H2 x64 CPU, RAM and GPU are overclocked |
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 Plan | High 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 | 4.24 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
401
74.6 IPS |
|
|
Image Classification (HP)
|
100% |
400
74.4 IPS |
|
|
Image Classification (Q)
|
100% |
902
167.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
499
8.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
500
8.11 IPS |
|
|
Image Segmentation (Q)
|
99% |
986
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
746
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
747
0.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
1918
2.25 IPS |
|
|
Object Detection (SP)
|
100% |
389
30.9 IPS |
|
|
Object Detection (HP)
|
100% |
390
30.9 IPS |
|
|
Object Detection (Q)
|
87% |
881
70.6 IPS |
|
|
Face Detection (SP)
|
100% |
1103
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1100
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
2428
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1036
7.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
1036
7.98 IPS |
|
|
Depth Estimation (Q)
|
81% |
2178
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1790
2.30 IPS |
|
|
Style Transfer (HP)
|
100% |
1749
2.25 IPS |
|
|
Style Transfer (Q)
|
98% |
5680
7.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
465
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
464
17.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1150
42.6 IPS |
|
|
Text Classification (SP)
|
100% |
503
671.0 IPS |
|
|
Text Classification (HP)
|
100% |
512
683.4 IPS |
|
|
Text Classification (Q)
|
91% |
440
590.8 IPS |
|
|
Machine Translation (SP)
|
100% |
595
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
595
10.3 IPS |
|
|
Machine Translation (Q)
|
100% |
594
10.2 IPS |
