Gigabyte Technology Co., Ltd. P55-UD3R
Geekbench AI Score
471
Single Precision Score
471
Half Precision Score
903
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | Yegor99 |
| Upload Date | May 13 2025 05:40 AM |
| Views | 5 |
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 | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
282
52.4 IPS |
|
|
Image Classification (HP)
|
100% |
280
52.1 IPS |
|
|
Image Classification (Q)
|
100% |
612
113.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
363
5.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
364
5.91 IPS |
|
|
Image Segmentation (Q)
|
99% |
699
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
512
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
511
0.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
1311
1.54 IPS |
|
|
Object Detection (SP)
|
100% |
273
21.7 IPS |
|
|
Object Detection (HP)
|
100% |
273
21.6 IPS |
|
|
Object Detection (Q)
|
87% |
609
48.8 IPS |
|
|
Face Detection (SP)
|
100% |
870
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
872
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
1699
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
715
5.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
714
5.50 IPS |
|
|
Depth Estimation (Q)
|
81% |
1522
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1227
1.58 IPS |
|
|
Style Transfer (HP)
|
100% |
1207
1.55 IPS |
|
|
Style Transfer (Q)
|
98% |
3893
5.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
322
11.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
322
11.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
783
29.0 IPS |
|
|
Text Classification (SP)
|
100% |
341
454.5 IPS |
|
|
Text Classification (HP)
|
100% |
344
459.4 IPS |
|
|
Text Classification (Q)
|
91% |
298
401.0 IPS |
|
|
Machine Translation (SP)
|
100% |
453
7.81 IPS |
|
|
Machine Translation (HP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (Q)
|
100% |
451
7.77 IPS |
