Dell Inc. Precision 5820 Tower
Geekbench AI Score
1695
Single Precision Score
1716
Half Precision Score
1010
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | bobolopolis |
| Upload Date | February 05 2025 06:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon W-2155 |
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | Dell Inc. Precision 5820 Tower |
| Motherboard | Dell Inc. 0X8DXD |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2155 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1134
210.9 IPS |
|
|
Image Classification (HP)
|
100% |
1163
216.3 IPS |
|
|
Image Classification (Q)
|
99% |
688
128.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1729
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
723
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2320
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
2313
2.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
2619
3.07 IPS |
|
|
Object Detection (SP)
|
100% |
1298
102.9 IPS |
|
|
Object Detection (HP)
|
100% |
1301
103.2 IPS |
|
|
Object Detection (Q)
|
85% |
772
62.1 IPS |
|
|
Face Detection (SP)
|
100% |
1901
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
2133
25.3 IPS |
|
|
Face Detection (Q)
|
97% |
1432
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2196
16.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2183
16.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1441
13.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2732
3.51 IPS |
|
|
Style Transfer (HP)
|
100% |
2723
3.50 IPS |
|
|
Style Transfer (Q)
|
98% |
4359
5.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1437
53.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1433
52.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1121
41.6 IPS |
|
|
Text Classification (SP)
|
100% |
1101
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1117
1.49 KIPS |
|
|
Text Classification (Q)
|
92% |
362
486.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1811
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1811
31.2 IPS |
|
|
Machine Translation (Q)
|
58% |
301
7.07 IPS |
