Dell Inc. Precision 5860 Tower
Geekbench AI Score
19478
Single Precision Score
28794
Half Precision Score
15361
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JoaoSchlemm |
| Upload Date | March 18 2025 05:12 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 4000 Ada Generation |
| 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% |
7455
1.39 KIPS |
|
|
Image Classification (HP)
|
99% |
10855
2.02 KIPS |
|
|
Image Classification (Q)
|
100% |
6917
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13262
215.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16481
267.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12202
198.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
114406
133.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
293621
342.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
103735
121.5 IPS |
|
|
Object Detection (SP)
|
100% |
9181
728.2 IPS |
|
|
Object Detection (HP)
|
100% |
13581
1.08 KIPS |
|
|
Object Detection (Q)
|
85% |
7804
628.3 IPS |
|
|
Face Detection (SP)
|
100% |
25596
304.1 IPS |
|
|
Face Detection (HP)
|
100% |
34325
407.8 IPS |
|
|
Face Detection (Q)
|
97% |
21722
259.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
49901
384.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
83758
645.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
38976
311.2 IPS |
|
|
Style Transfer (SP)
|
100% |
184158
236.7 IPS |
|
|
Style Transfer (HP)
|
100% |
438920
564.2 IPS |
|
|
Style Transfer (Q)
|
98% |
171342
220.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34793
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42749
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24614
911.4 IPS |
|
|
Text Classification (SP)
|
100% |
2670
3.56 KIPS |
|
|
Text Classification (HP)
|
99% |
3073
4.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1671
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3464
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3313
57.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1795
33.7 IPS |
