Dell Inc. PowerEdge R720
Geekbench AI Score
69
Single Precision Score
69
Half Precision Score
49
Quantized Score
Geekbench AI 1.1.0 for Linux x86 (64-bit)
Result Information
| Upload Date | October 07 2024 12:39 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2670 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | Dell Inc. PowerEdge R720 |
| Motherboard | Dell Inc. 0X3D66 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2670 |
| Topology | 2 Processors, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
41
7.72 IPS |
|
|
Image Classification (HP)
|
100% |
41
7.71 IPS |
|
|
Image Classification (Q)
|
97% |
32
6.03 IPS |
|
|
Image Segmentation (SP)
|
100% |
57
0.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
57
0.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
42
0.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
66
0.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
66
0.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
53
0.06 IPS |
|
|
Object Detection (SP)
|
100% |
40
3.19 IPS |
|
|
Object Detection (HP)
|
100% |
40
3.17 IPS |
|
|
Object Detection (Q)
|
87% |
31
2.49 IPS |
|
|
Face Detection (SP)
|
100% |
133
1.58 IPS |
|
|
Face Detection (HP)
|
100% |
133
1.58 IPS |
|
|
Face Detection (Q)
|
97% |
99
1.18 IPS |
|
|
Depth Estimation (SP)
|
100% |
95
0.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
95
0.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
62
0.57 IPS |
|
|
Style Transfer (SP)
|
100% |
196
0.25 IPS |
|
|
Style Transfer (HP)
|
100% |
196
0.25 IPS |
|
|
Style Transfer (Q)
|
98% |
160
0.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42
1.57 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42
1.57 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
32
1.20 IPS |
|
|
Text Classification (SP)
|
100% |
49
65.8 IPS |
|
|
Text Classification (HP)
|
100% |
49
65.5 IPS |
|
|
Text Classification (Q)
|
91% |
33
44.7 IPS |
|
|
Machine Translation (SP)
|
100% |
79
1.36 IPS |
|
|
Machine Translation (HP)
|
100% |
79
1.35 IPS |
|
|
Machine Translation (Q)
|
58% |
38
0.91 IPS |
