Gigabyte Technology Co., Ltd. P55-UD3R
Geekbench AI Score
470
Single Precision Score
470
Half Precision Score
903
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | June 22 2025 08:45 AM |
| Views | 3 |
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% |
284
52.9 IPS |
|
|
Image Classification (HP)
|
100% |
282
52.4 IPS |
|
|
Image Classification (Q)
|
100% |
613
114.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
365
5.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
367
5.95 IPS |
|
|
Image Segmentation (Q)
|
99% |
701
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
510
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
21.7 IPS |
|
|
Object Detection (Q)
|
87% |
612
49.1 IPS |
|
|
Face Detection (SP)
|
100% |
874
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
875
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
1694
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
714
5.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
715
5.51 IPS |
|
|
Depth Estimation (Q)
|
81% |
1520
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1186
1.53 IPS |
|
|
Style Transfer (HP)
|
100% |
1184
1.52 IPS |
|
|
Style Transfer (Q)
|
98% |
3886
5.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
321
11.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
321
11.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
785
29.1 IPS |
|
|
Text Classification (SP)
|
100% |
341
454.6 IPS |
|
|
Text Classification (HP)
|
100% |
346
461.5 IPS |
|
|
Text Classification (Q)
|
91% |
300
403.0 IPS |
|
|
Machine Translation (SP)
|
100% |
451
7.76 IPS |
|
|
Machine Translation (HP)
|
100% |
452
7.78 IPS |
|
|
Machine Translation (Q)
|
100% |
449
7.73 IPS |
