Gigabyte Technology Co., Ltd. P55-UD3R
Geekbench AI Score
444
Single Precision Score
276
Half Precision Score
578
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | May 13 2025 05:25 AM |
| Views | 11 |
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% |
277
51.6 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.6 IPS |
|
|
Image Classification (Q)
|
96% |
444
83.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
172
2.79 IPS |
|
|
Image Segmentation (Q)
|
97% |
374
6.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
518
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
496
0.58 IPS |
|
|
Pose Estimation (Q)
|
86% |
866
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
271
21.5 IPS |
|
|
Object Detection (HP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (Q)
|
58% |
320
35.0 IPS |
|
|
Face Detection (SP)
|
100% |
788
9.36 IPS |
|
|
Face Detection (HP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (Q)
|
96% |
1023
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
737
5.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
418
3.22 IPS |
|
|
Depth Estimation (Q)
|
78% |
988
7.87 IPS |
|
|
Style Transfer (SP)
|
100% |
1381
1.78 IPS |
|
|
Style Transfer (HP)
|
100% |
1378
1.77 IPS |
|
|
Style Transfer (Q)
|
87% |
1884
2.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
297
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
428
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
297
396.4 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.3 IPS |
|
|
Text Classification (Q)
|
97% |
193
258.8 IPS |
|
|
Machine Translation (SP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (HP)
|
100% |
185
3.19 IPS |
|
|
Machine Translation (Q)
|
68% |
582
11.2 IPS |
