Gigabyte Technology Co., Ltd. P55-UD3R
Geekbench AI Score
449
Single Precision Score
278
Half Precision Score
577
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | June 20 2025 02:30 PM |
| Views | 3 |
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 | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
287
53.4 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.9 IPS |
|
|
Image Classification (Q)
|
96% |
448
83.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
256
4.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
173
2.80 IPS |
|
|
Image Segmentation (Q)
|
97% |
373
6.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
532
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
502
0.59 IPS |
|
|
Pose Estimation (Q)
|
86% |
868
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
273
21.7 IPS |
|
|
Object Detection (HP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (Q)
|
58% |
313
34.2 IPS |
|
|
Face Detection (SP)
|
100% |
790
9.38 IPS |
|
|
Face Detection (HP)
|
100% |
363
4.32 IPS |
|
|
Face Detection (Q)
|
96% |
1025
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
741
5.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
417
3.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
992
7.90 IPS |
|
|
Style Transfer (SP)
|
100% |
1378
1.77 IPS |
|
|
Style Transfer (HP)
|
100% |
1366
1.76 IPS |
|
|
Style Transfer (Q)
|
87% |
1874
2.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
430
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
299
398.9 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.8 IPS |
|
|
Text Classification (Q)
|
97% |
194
259.7 IPS |
|
|
Machine Translation (SP)
|
100% |
440
7.59 IPS |
|
|
Machine Translation (HP)
|
100% |
185
3.18 IPS |
|
|
Machine Translation (Q)
|
68% |
574
11.1 IPS |
