DELL__ Precision 5820 Tower
Geekbench AI Score
3574
Single Precision Score
1186
Half Precision Score
3967
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ACEII |
| Upload Date | February 18 2025 06:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon W-2145 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | DELL__ Precision 5820 Tower |
| Motherboard | Dell Inc. 0TVW7J |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2145 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2821
524.7 IPS |
|
|
Image Classification (HP)
|
100% |
328
61.0 IPS |
|
|
Image Classification (Q)
|
96% |
3644
680.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
928
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
615
9.96 IPS |
|
|
Image Segmentation (Q)
|
97% |
1979
32.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9392
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6298
7.35 IPS |
|
|
Pose Estimation (Q)
|
86% |
13885
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
3063
243.0 IPS |
|
|
Object Detection (HP)
|
100% |
460
36.5 IPS |
|
|
Object Detection (Q)
|
58% |
2813
307.4 IPS |
|
|
Face Detection (SP)
|
100% |
5248
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
1076
12.8 IPS |
|
|
Face Detection (Q)
|
96% |
6892
82.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9578
73.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1501
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
9231
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18902
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11898
15.3 IPS |
|
|
Style Transfer (Q)
|
87% |
16087
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2612
96.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1958
72.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2050
75.9 IPS |
|
|
Text Classification (SP)
|
100% |
1269
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
568
757.5 IPS |
|
|
Text Classification (Q)
|
97% |
1033
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1437
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
443
7.63 IPS |
|
|
Machine Translation (Q)
|
68% |
1582
30.6 IPS |
