Dell Inc. PowerEdge R730
Geekbench AI Score
639
Single Precision Score
666
Half Precision Score
349
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | 6lagos |
| Upload Date | December 17 2025 03:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2620 v4 |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.2 |
| Model | Dell Inc. PowerEdge R730 |
| Motherboard | Dell Inc. 0WCJNT |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2620 v4 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
414
76.9 IPS |
|
|
Image Classification (HP)
|
100% |
430
80.0 IPS |
|
|
Image Classification (Q)
|
99% |
209
39.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
511
8.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
594
9.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
244
3.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
903
1.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
885
1.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
782
0.92 IPS |
|
|
Object Detection (SP)
|
100% |
444
35.2 IPS |
|
|
Object Detection (HP)
|
100% |
482
38.2 IPS |
|
|
Object Detection (Q)
|
85% |
220
17.7 IPS |
|
|
Face Detection (SP)
|
100% |
809
9.61 IPS |
|
|
Face Detection (HP)
|
100% |
828
9.84 IPS |
|
|
Face Detection (Q)
|
97% |
490
5.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
832
6.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
824
6.35 IPS |
|
|
Depth Estimation (Q)
|
63% |
473
4.44 IPS |
|
|
Style Transfer (SP)
|
100% |
1158
1.49 IPS |
|
|
Style Transfer (HP)
|
100% |
1154
1.48 IPS |
|
|
Style Transfer (Q)
|
98% |
1458
1.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
537
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
535
19.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
378
14.0 IPS |
|
|
Text Classification (SP)
|
100% |
426
569.1 IPS |
|
|
Text Classification (HP)
|
100% |
504
672.2 IPS |
|
|
Text Classification (Q)
|
92% |
159
214.1 IPS |
|
|
Machine Translation (SP)
|
100% |
752
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
746
12.8 IPS |
|
|
Machine Translation (Q)
|
58% |
154
3.61 IPS |
