Dell PowerEdge R520 N/A
Geekbench AI Score
442
Single Precision Score
440
Half Precision Score
1954
Quantized Score
Geekbench AI 1.1.0 for Linux x86 (64-bit)
Result Information
| User | asknight1 |
| Upload Date | September 30 2024 05:57 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2470 v2 @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | N/A |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2470 v2 |
| Topology | 2 Processors, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 188.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
715
132.9 IPS |
|
|
Image Classification (HP)
|
100% |
723
134.4 IPS |
|
|
Image Classification (Q)
|
100% |
1367
254.3 IPS |
|
|
Image Segmentation (SP)
|
29% |
78
16.4 IPS |
|
|
Image Segmentation (HP)
|
29% |
77
16.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1317
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1343
1.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
1346
1.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
3076
3.61 IPS |
|
|
Object Detection (SP)
|
100% |
696
55.2 IPS |
|
|
Object Detection (HP)
|
100% |
695
55.1 IPS |
|
|
Object Detection (Q)
|
87% |
1382
110.9 IPS |
|
|
Face Detection (SP)
|
100% |
2418
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
2420
28.8 IPS |
|
|
Face Detection (Q)
|
97% |
3891
46.4 IPS |
|
|
Depth Estimation (SP)
|
1% |
7
18.5 IPS |
|
|
Depth Estimation (HP)
|
1% |
7
18.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
3590
28.4 IPS |
|
|
Style Transfer (SP)
|
31% |
379
5.18 IPS |
|
|
Style Transfer (HP)
|
31% |
362
5.18 IPS |
|
|
Style Transfer (Q)
|
98% |
9250
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1112
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1113
41.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1821
67.4 IPS |
|
|
Text Classification (SP)
|
100% |
861
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
847
1.13 KIPS |
|
|
Text Classification (Q)
|
91% |
493
663.2 IPS |
|
|
Machine Translation (SP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
916
15.8 IPS |
|
|
Machine Translation (Q)
|
100% |
915
15.8 IPS |
