Dell Inc. Precision 5860 Tower
Geekbench AI Score
5446
Single Precision Score
1794
Half Precision Score
7998
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JoaoSchlemm |
| Upload Date | May 16 2025 04:23 PM |
| Views | 10 |
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% |
2702
502.5 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.4 IPS |
|
|
Image Classification (Q)
|
99% |
8408
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1652
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
841
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3429
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16364
19.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10226
11.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
51457
60.3 IPS |
|
|
Object Detection (SP)
|
100% |
4824
382.6 IPS |
|
|
Object Detection (HP)
|
100% |
684
54.2 IPS |
|
|
Object Detection (Q)
|
86% |
9386
754.4 IPS |
|
|
Face Detection (SP)
|
100% |
11191
133.0 IPS |
|
|
Face Detection (HP)
|
100% |
1563
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
10230
122.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13672
105.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2222
17.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
20289
161.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29694
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21288
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
24253
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4204
155.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3191
117.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4587
169.8 IPS |
|
|
Text Classification (SP)
|
100% |
1399
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
702
936.6 IPS |
|
|
Text Classification (Q)
|
97% |
1250
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2439
42.0 IPS |
|
|
Machine Translation (HP)
|
100% |
688
11.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2665
53.5 IPS |
