Gigabyte Technology Co., Ltd. P55-UD3R
Geekbench AI Score
447
Single Precision Score
278
Half Precision Score
578
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | June 20 2025 01:17 PM |
| Views | 4 |
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% |
286
53.2 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.6 IPS |
|
|
Image Classification (Q)
|
96% |
446
83.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
256
4.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
173
2.80 IPS |
|
|
Image Segmentation (Q)
|
97% |
371
6.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
521
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
496
0.58 IPS |
|
|
Pose Estimation (Q)
|
86% |
862
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
273
21.7 IPS |
|
|
Object Detection (HP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (Q)
|
58% |
319
34.8 IPS |
|
|
Face Detection (SP)
|
100% |
792
9.41 IPS |
|
|
Face Detection (HP)
|
100% |
364
4.32 IPS |
|
|
Face Detection (Q)
|
96% |
1028
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
736
5.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
418
3.22 IPS |
|
|
Depth Estimation (Q)
|
78% |
989
7.87 IPS |
|
|
Style Transfer (SP)
|
100% |
1383
1.78 IPS |
|
|
Style Transfer (HP)
|
100% |
1380
1.77 IPS |
|
|
Style Transfer (Q)
|
87% |
1887
2.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
299
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
286
10.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
429
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
287
383.0 IPS |
|
|
Text Classification (HP)
|
100% |
164
218.4 IPS |
|
|
Text Classification (Q)
|
97% |
194
259.6 IPS |
|
|
Machine Translation (SP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (HP)
|
100% |
185
3.19 IPS |
|
|
Machine Translation (Q)
|
68% |
579
11.2 IPS |
