Gigabyte Technology Co., Ltd. EP45T-UD3LR
Geekbench AI Score
153
Single Precision Score
149
Half Precision Score
309
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | June 22 2025 02:40 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 2 Duo E7200 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. EP45T-UD3LR |
| Motherboard | Gigabyte Technology Co., Ltd. EP45T-UD3LR |
| CPU Information | |
|---|---|
| Name | Intel Core 2 Duo E7200 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 23 Stepping 6 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
92
17.2 IPS |
|
|
Image Classification (HP)
|
100% |
72
13.5 IPS |
|
|
Image Classification (Q)
|
96% |
253
47.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
77
1.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
90
1.45 IPS |
|
|
Image Segmentation (Q)
|
97% |
200
3.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
162
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
244
0.28 IPS |
|
|
Pose Estimation (Q)
|
86% |
476
0.56 IPS |
|
|
Object Detection (SP)
|
100% |
86
6.82 IPS |
|
|
Object Detection (HP)
|
100% |
76
6.05 IPS |
|
|
Object Detection (Q)
|
58% |
176
19.3 IPS |
|
|
Face Detection (SP)
|
100% |
237
2.82 IPS |
|
|
Face Detection (HP)
|
100% |
162
1.92 IPS |
|
|
Face Detection (Q)
|
96% |
402
4.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
226
1.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
221
1.71 IPS |
|
|
Depth Estimation (Q)
|
78% |
486
3.87 IPS |
|
|
Style Transfer (SP)
|
100% |
439
0.56 IPS |
|
|
Style Transfer (HP)
|
100% |
643
0.83 IPS |
|
|
Style Transfer (Q)
|
87% |
768
1.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
96
3.56 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
138
5.10 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
275
10.2 IPS |
|
|
Text Classification (SP)
|
100% |
181
241.3 IPS |
|
|
Text Classification (HP)
|
100% |
123
164.0 IPS |
|
|
Text Classification (Q)
|
97% |
162
217.0 IPS |
|
|
Machine Translation (SP)
|
100% |
176
3.03 IPS |
|
|
Machine Translation (HP)
|
100% |
118
2.03 IPS |
|
|
Machine Translation (Q)
|
68% |
282
5.45 IPS |
