Dell Inc. PowerEdge R740
Geekbench AI Score
3599
Single Precision Score
928
Half Precision Score
2942
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 07:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon Gold 6154 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. PowerEdge R740 |
| Motherboard | Dell Inc. 0WXD1Y |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 6154 |
| Topology | 2 Processors, 36 Cores, 72 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3126
581.3 IPS |
|
|
Image Classification (HP)
|
100% |
216
40.2 IPS |
|
|
Image Classification (Q)
|
96% |
3660
683.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
923
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
434
7.03 IPS |
|
|
Image Segmentation (Q)
|
97% |
1403
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14873
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
6688
7.80 IPS |
|
|
Pose Estimation (Q)
|
86% |
13263
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2398
190.2 IPS |
|
|
Object Detection (HP)
|
100% |
302
24.0 IPS |
|
|
Object Detection (Q)
|
58% |
2292
250.5 IPS |
|
|
Face Detection (SP)
|
100% |
6839
81.3 IPS |
|
|
Face Detection (HP)
|
100% |
726
8.62 IPS |
|
|
Face Detection (Q)
|
96% |
4809
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11517
88.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
946
7.29 IPS |
|
|
Depth Estimation (Q)
|
78% |
7843
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25048
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13524
17.4 IPS |
|
|
Style Transfer (Q)
|
87% |
13393
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2250
83.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2225
82.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1772
65.7 IPS |
|
|
Text Classification (SP)
|
100% |
836
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
358
477.5 IPS |
|
|
Text Classification (Q)
|
97% |
300
401.7 IPS |
|
|
Machine Translation (SP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
340
5.85 IPS |
|
|
Machine Translation (Q)
|
68% |
1159
22.4 IPS |
