Dell Inc. PowerEdge T20
Geekbench AI Score
280
Single Precision Score
158
Half Precision Score
332
Quantized Score
Geekbench AI 1.1.0 for Linux x86 (64-bit)
Result Information
| Upload Date | March 19 2026 03:12 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium G3220 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | Dell Inc. PowerEdge T20 |
| Motherboard | Dell Inc. 0VD5HY |
| CPU Information | |
|---|---|
| Name | Intel Pentium G3220 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 3.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
157
29.2 IPS |
|
|
Image Classification (HP)
|
100% |
58
10.7 IPS |
|
|
Image Classification (Q)
|
97% |
195
36.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
166
2.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
74
1.19 IPS |
|
|
Image Segmentation (Q)
|
99% |
263
4.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
334
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
304
0.35 IPS |
|
|
Pose Estimation (Q)
|
95% |
461
0.54 IPS |
|
|
Object Detection (SP)
|
100% |
157
12.5 IPS |
|
|
Object Detection (HP)
|
100% |
67
5.30 IPS |
|
|
Object Detection (Q)
|
89% |
171
13.7 IPS |
|
|
Face Detection (SP)
|
100% |
352
4.18 IPS |
|
|
Face Detection (HP)
|
100% |
110
1.31 IPS |
|
|
Face Detection (Q)
|
97% |
442
5.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
432
3.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
243
1.87 IPS |
|
|
Depth Estimation (Q)
|
78% |
498
3.98 IPS |
|
|
Style Transfer (SP)
|
100% |
905
1.16 IPS |
|
|
Style Transfer (HP)
|
100% |
858
1.10 IPS |
|
|
Style Transfer (Q)
|
98% |
1031
1.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
198
7.30 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
181
6.70 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
273
10.1 IPS |
|
|
Text Classification (SP)
|
100% |
244
325.6 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.0 IPS |
|
|
Text Classification (Q)
|
97% |
307
411.6 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (HP)
|
100% |
172
2.96 IPS |
|
|
Machine Translation (Q)
|
60% |
214
4.77 IPS |
