Gigabyte Technology Co., Ltd. P55-UD3R
Geekbench AI Score
621
Single Precision Score
396
Half Precision Score
795
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | July 14 2025 02:27 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-860 |
| 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% |
383
71.3 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.7 IPS |
|
|
Image Classification (Q)
|
96% |
640
119.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
336
5.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
243
3.93 IPS |
|
|
Image Segmentation (Q)
|
97% |
528
8.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
772
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
723
0.84 IPS |
|
|
Pose Estimation (Q)
|
86% |
1197
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
394
31.2 IPS |
|
|
Object Detection (HP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (Q)
|
58% |
453
49.4 IPS |
|
|
Face Detection (SP)
|
100% |
985
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
486
5.78 IPS |
|
|
Face Detection (Q)
|
96% |
1294
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1063
8.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
605
4.66 IPS |
|
|
Depth Estimation (Q)
|
78% |
1345
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1974
2.54 IPS |
|
|
Style Transfer (HP)
|
100% |
1991
2.56 IPS |
|
|
Style Transfer (Q)
|
87% |
2382
3.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
421
15.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
416
15.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
602
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
436
582.4 IPS |
|
|
Text Classification (HP)
|
100% |
238
317.3 IPS |
|
|
Text Classification (Q)
|
97% |
282
377.6 IPS |
|
|
Machine Translation (SP)
|
100% |
583
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.47 IPS |
|
|
Machine Translation (Q)
|
68% |
787
15.2 IPS |
