srvsd006 Dell Inc. PowerEdge R730
Geekbench AI Score
1182
Single Precision Score
1240
Half Precision Score
940
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | plusterkopp |
| Upload Date | December 03 2025 12:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2695 v4 |
| System Information | |
|---|---|
| Operating System | Oracle Linux Server 9.6 |
| Model | Dell Inc. PowerEdge R730 |
| Motherboard | Dell Inc. 0WCJNT |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2695 v4 |
| Topology | 2 Processors, 36 Cores, 72 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 505.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
901
167.6 IPS |
|
|
Image Classification (HP)
|
100% |
946
176.0 IPS |
|
|
Image Classification (Q)
|
99% |
735
137.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1500
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1427
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
573
9.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
1855
2.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1904
2.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
3463
4.06 IPS |
|
|
Object Detection (SP)
|
100% |
1026
81.4 IPS |
|
|
Object Detection (HP)
|
100% |
1062
84.2 IPS |
|
|
Object Detection (Q)
|
85% |
808
65.0 IPS |
|
|
Face Detection (SP)
|
100% |
1414
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
1447
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
1508
18.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1382
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1341
10.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1299
12.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1916
2.46 IPS |
|
|
Style Transfer (HP)
|
100% |
1934
2.49 IPS |
|
|
Style Transfer (Q)
|
98% |
4154
5.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
738
27.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
926
34.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1049
38.9 IPS |
|
|
Text Classification (SP)
|
100% |
569
759.6 IPS |
|
|
Text Classification (HP)
|
100% |
665
888.2 IPS |
|
|
Text Classification (Q)
|
92% |
193
259.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1317
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1365
23.5 IPS |
|
|
Machine Translation (Q)
|
58% |
279
6.54 IPS |
