Dell Inc. PowerEdge T340
Geekbench AI Score
988
Single Precision Score
979
Half Precision Score
711
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Emigrante |
| Upload Date | May 24 2025 05:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E-2124 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Dell Inc. PowerEdge T340 |
| Motherboard | Dell Inc. 0VRC38 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E-2124 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 23.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
818
152.0 IPS |
|
|
Image Classification (HP)
|
100% |
813
151.2 IPS |
|
|
Image Classification (Q)
|
99% |
472
87.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
835
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
837
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
499
8.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
1120
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1116
1.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
1158
1.36 IPS |
|
|
Object Detection (SP)
|
100% |
818
64.9 IPS |
|
|
Object Detection (HP)
|
100% |
817
64.8 IPS |
|
|
Object Detection (Q)
|
85% |
510
41.1 IPS |
|
|
Face Detection (SP)
|
100% |
1095
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
1079
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
1123
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1085
8.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
1082
8.34 IPS |
|
|
Depth Estimation (Q)
|
63% |
942
8.83 IPS |
|
|
Style Transfer (SP)
|
100% |
1294
1.66 IPS |
|
|
Style Transfer (HP)
|
100% |
1284
1.65 IPS |
|
|
Style Transfer (Q)
|
98% |
2281
2.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
691
25.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
685
25.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
679
25.2 IPS |
|
|
Text Classification (SP)
|
100% |
1210
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1197
1.60 KIPS |
|
|
Text Classification (Q)
|
92% |
415
558.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1107
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (Q)
|
58% |
351
8.24 IPS |
