Dell Inc. PowerEdge T410
Geekbench AI Score
239
Single Precision Score
162
Half Precision Score
390
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | SyameimaruKoa |
| Upload Date | December 06 2024 05:13 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5520 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. PowerEdge T410 |
| Motherboard | Dell Inc. 0H19HD |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5520 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 26 Stepping 5 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 6.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
141
26.3 IPS |
|
|
Image Classification (HP)
|
100% |
72
13.5 IPS |
|
|
Image Classification (Q)
|
96% |
275
51.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
140
2.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
108
1.75 IPS |
|
|
Image Segmentation (Q)
|
97% |
267
4.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
287
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
279
0.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
531
0.63 IPS |
|
|
Object Detection (SP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (HP)
|
100% |
84
6.63 IPS |
|
|
Object Detection (Q)
|
58% |
204
22.3 IPS |
|
|
Face Detection (SP)
|
100% |
433
5.15 IPS |
|
|
Face Detection (HP)
|
100% |
221
2.63 IPS |
|
|
Face Detection (Q)
|
96% |
646
7.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
370
2.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
235
1.81 IPS |
|
|
Depth Estimation (Q)
|
78% |
623
4.96 IPS |
|
|
Style Transfer (SP)
|
100% |
757
0.97 IPS |
|
|
Style Transfer (HP)
|
100% |
768
0.99 IPS |
|
|
Style Transfer (Q)
|
87% |
1235
1.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
160
5.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
152
5.62 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
270
10.00 IPS |
|
|
Text Classification (SP)
|
100% |
166
221.6 IPS |
|
|
Text Classification (HP)
|
100% |
100
133.7 IPS |
|
|
Text Classification (Q)
|
97% |
205
274.4 IPS |
|
|
Machine Translation (SP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (HP)
|
100% |
118
2.03 IPS |
|
|
Machine Translation (Q)
|
68% |
378
7.29 IPS |
