Dell Inc. Precision 5860 Tower
Geekbench AI Score
4084
Single Precision Score
1456
Half Precision Score
7141
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JoaoSchlemm |
| Upload Date | March 18 2025 04:58 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon w5-2465X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Dell Inc. Precision 5860 Tower |
| Motherboard | Dell Inc. 02D1W5 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Xeon w5-2465X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2251
418.6 IPS |
|
|
Image Classification (HP)
|
100% |
450
83.6 IPS |
|
|
Image Classification (Q)
|
99% |
7296
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1458
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
725
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3428
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8414
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
6390
7.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
38464
45.1 IPS |
|
|
Object Detection (SP)
|
100% |
2934
232.7 IPS |
|
|
Object Detection (HP)
|
100% |
598
47.4 IPS |
|
|
Object Detection (Q)
|
86% |
8497
682.9 IPS |
|
|
Face Detection (SP)
|
100% |
8690
103.3 IPS |
|
|
Face Detection (HP)
|
100% |
1320
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
9508
113.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10564
81.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2001
15.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
17625
140.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19693
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13778
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21576
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3262
120.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2402
88.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3963
146.7 IPS |
|
|
Text Classification (SP)
|
100% |
1318
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
640
853.7 IPS |
|
|
Text Classification (Q)
|
97% |
1193
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2050
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
615
10.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2470
49.6 IPS |
