Dell Inc. Precision 5860 Tower
Geekbench AI Score
9888
Single Precision Score
7110
Half Precision Score
27272
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JoaoSchlemm |
| Upload Date | May 16 2025 04:43 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) 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% |
3675
683.5 IPS |
|
|
Image Classification (HP)
|
100% |
3947
734.0 IPS |
|
|
Image Classification (Q)
|
100% |
7894
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5961
96.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3289
53.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
16401
265.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18912
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
11921
13.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
194723
228.0 IPS |
|
|
Object Detection (SP)
|
100% |
6165
489.0 IPS |
|
|
Object Detection (HP)
|
100% |
5498
436.1 IPS |
|
|
Object Detection (Q)
|
88% |
14392
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
19634
233.3 IPS |
|
|
Face Detection (HP)
|
100% |
14271
169.6 IPS |
|
|
Face Detection (Q)
|
100% |
36186
430.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17029
131.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14241
109.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
54779
426.5 IPS |
|
|
Style Transfer (SP)
|
100% |
52577
67.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30200
38.8 IPS |
|
|
Style Transfer (Q)
|
98% |
442730
570.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9708
358.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6429
237.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30422
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3779
5.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1881
2.51 KIPS |
|
|
Text Classification (Q)
|
92% |
3728
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5426
93.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5231
90.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6304
108.6 IPS |
