Dell Inc. Precision 5860 Tower
Geekbench AI Score
15036
Single Precision Score
23900
Half Precision Score
9830
Quantized Score
Geekbench AI 1.6.0 Corporate for Windows AVX2
Result Information
| Upload Date | December 02 2025 08:10 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A4000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Dell Inc. Precision 5860 Tower |
| Motherboard | Dell Inc. 0F4Y1M |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon w7-2495X |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5856
1.09 KIPS |
|
|
Image Classification (HP)
|
99% |
9081
1.69 KIPS |
|
|
Image Classification (Q)
|
100% |
4339
806.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
9821
159.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14493
234.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7574
123.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
87478
102.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
228833
267.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
71007
83.2 IPS |
|
|
Object Detection (SP)
|
100% |
7590
602.0 IPS |
|
|
Object Detection (HP)
|
100% |
11815
937.2 IPS |
|
|
Object Detection (Q)
|
85% |
5531
445.2 IPS |
|
|
Face Detection (SP)
|
100% |
17962
213.4 IPS |
|
|
Face Detection (HP)
|
100% |
28647
340.4 IPS |
|
|
Face Detection (Q)
|
97% |
12798
152.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
41710
321.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
67400
519.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
25939
207.8 IPS |
|
|
Style Transfer (SP)
|
100% |
133786
172.0 IPS |
|
|
Style Transfer (HP)
|
100% |
330819
425.3 IPS |
|
|
Style Transfer (Q)
|
98% |
108668
140.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23249
858.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30506
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14277
528.7 IPS |
|
|
Text Classification (SP)
|
100% |
2192
2.93 KIPS |
|
|
Text Classification (HP)
|
99% |
2874
3.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1129
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3030
52.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3052
52.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1123
21.1 IPS |
