Dell Inc. Precision 5860 Tower
Geekbench AI Score
17508
Single Precision Score
25639
Half Precision Score
13701
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JoaoSchlemm |
| Upload Date | May 16 2025 04:48 PM |
| Views | 12 |
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% |
6436
1.20 KIPS |
|
|
Image Classification (HP)
|
99% |
9892
1.84 KIPS |
|
|
Image Classification (Q)
|
100% |
6036
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12494
202.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16950
274.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10885
177.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
110530
129.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
256856
299.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
100447
117.7 IPS |
|
|
Object Detection (SP)
|
100% |
8603
682.4 IPS |
|
|
Object Detection (HP)
|
100% |
12808
1.02 KIPS |
|
|
Object Detection (Q)
|
85% |
7252
583.8 IPS |
|
|
Face Detection (SP)
|
100% |
21472
255.1 IPS |
|
|
Face Detection (HP)
|
100% |
29558
351.2 IPS |
|
|
Face Detection (Q)
|
97% |
18132
216.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
46698
359.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
72914
561.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
37244
297.4 IPS |
|
|
Style Transfer (SP)
|
100% |
180649
232.2 IPS |
|
|
Style Transfer (HP)
|
100% |
369064
474.4 IPS |
|
|
Style Transfer (Q)
|
98% |
163625
211.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27498
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
37676
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21437
793.8 IPS |
|
|
Text Classification (SP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
2470
3.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1306
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3063
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3007
51.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1575
29.5 IPS |
