Dell Inc. PowerEdge R730
Geekbench AI Score
1295
Single Precision Score
1312
Half Precision Score
862
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | 6lagos |
| Upload Date | December 17 2025 06:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2696 v4 |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.2 |
| Model | Dell Inc. PowerEdge R730 |
| Motherboard | Dell Inc. 0WCJNT |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2696 v4 |
| Topology | 2 Processors, 44 Cores, 88 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 251.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
751
139.7 IPS |
|
|
Image Classification (HP)
|
100% |
898
166.9 IPS |
|
|
Image Classification (Q)
|
99% |
620
115.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1945
31.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
620
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1810
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1854
2.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
3507
4.11 IPS |
|
|
Object Detection (SP)
|
100% |
1375
109.1 IPS |
|
|
Object Detection (HP)
|
100% |
1353
107.4 IPS |
|
|
Object Detection (Q)
|
85% |
706
56.8 IPS |
|
|
Face Detection (SP)
|
100% |
1878
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
1943
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
1334
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1181
9.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
1508
11.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1013
9.49 IPS |
|
|
Style Transfer (SP)
|
100% |
1823
2.34 IPS |
|
|
Style Transfer (HP)
|
100% |
1306
1.68 IPS |
|
|
Style Transfer (Q)
|
98% |
3484
4.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1073
39.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
902
33.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1094
40.5 IPS |
|
|
Text Classification (SP)
|
100% |
731
975.2 IPS |
|
|
Text Classification (HP)
|
100% |
722
963.1 IPS |
|
|
Text Classification (Q)
|
92% |
183
246.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1394
24.0 IPS |
|
|
Machine Translation (Q)
|
58% |
255
6.00 IPS |
