Dell Inc. Precision 5820 Tower
Geekbench AI Score
1088
Single Precision Score
1100
Half Precision Score
653
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | chikanamakalaka |
| Upload Date | April 07 2025 06:57 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon W-2123 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Dell Inc. Precision 5820 Tower |
| Motherboard | Dell Inc. 0X8DXD |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2123 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
701
130.4 IPS |
|
|
Image Classification (HP)
|
100% |
718
133.5 IPS |
|
|
Image Classification (Q)
|
99% |
351
65.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
967
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
469
7.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
1333
1.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1329
1.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
1133
1.33 IPS |
|
|
Object Detection (SP)
|
100% |
780
61.9 IPS |
|
|
Object Detection (HP)
|
100% |
781
62.0 IPS |
|
|
Object Detection (Q)
|
85% |
474
38.2 IPS |
|
|
Face Detection (SP)
|
100% |
1557
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1561
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
1055
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1443
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1446
11.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
909
8.52 IPS |
|
|
Style Transfer (SP)
|
100% |
2012
2.59 IPS |
|
|
Style Transfer (HP)
|
100% |
2010
2.58 IPS |
|
|
Style Transfer (Q)
|
98% |
2301
2.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
783
28.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
796
29.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
622
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
813
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
843
1.13 KIPS |
|
|
Text Classification (Q)
|
92% |
367
492.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1150
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (Q)
|
58% |
321
7.53 IPS |
