Gigabyte Technology Co., Ltd. EP45-UD3R
Geekbench AI Score
175
Single Precision Score
175
Half Precision Score
386
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | June 06 2025 12:35 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 2 Duo E8300 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. EP45-UD3R |
| Motherboard | Gigabyte Technology Co., Ltd. EP45-UD3R |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core 2 Duo E8300 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 23 Stepping 6 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
101
18.7 IPS |
|
|
Image Classification (HP)
|
100% |
83
15.4 IPS |
|
|
Image Classification (Q)
|
96% |
300
56.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
102
1.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
110
1.78 IPS |
|
|
Image Segmentation (Q)
|
97% |
255
4.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
174
0.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
267
0.31 IPS |
|
|
Pose Estimation (Q)
|
86% |
574
0.68 IPS |
|
|
Object Detection (SP)
|
100% |
97
7.67 IPS |
|
|
Object Detection (HP)
|
100% |
91
7.22 IPS |
|
|
Object Detection (Q)
|
58% |
211
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
286
3.40 IPS |
|
|
Face Detection (HP)
|
100% |
200
2.38 IPS |
|
|
Face Detection (Q)
|
96% |
555
6.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
246
1.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
256
1.97 IPS |
|
|
Depth Estimation (Q)
|
78% |
621
4.94 IPS |
|
|
Style Transfer (SP)
|
100% |
478
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
704
0.90 IPS |
|
|
Style Transfer (Q)
|
87% |
1005
1.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
106
3.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
159
5.87 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
323
12.0 IPS |
|
|
Text Classification (SP)
|
100% |
211
281.8 IPS |
|
|
Text Classification (HP)
|
100% |
145
193.7 IPS |
|
|
Text Classification (Q)
|
97% |
173
231.8 IPS |
|
|
Machine Translation (SP)
|
100% |
210
3.62 IPS |
|
|
Machine Translation (HP)
|
100% |
153
2.63 IPS |
|
|
Machine Translation (Q)
|
68% |
417
8.07 IPS |
