Dell Inc. Precision 5860 Tower
Geekbench AI Score
8709
Single Precision Score
5614
Half Precision Score
27764
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JoaoSchlemm |
| Upload Date | March 18 2025 05:28 PM |
| Views | 14 |
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% |
3056
568.4 IPS |
|
|
Image Classification (HP)
|
100% |
3603
670.0 IPS |
|
|
Image Classification (Q)
|
100% |
7834
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9251
150.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2542
41.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
26341
427.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11403
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5845
6.82 IPS |
|
|
Pose Estimation (Q)
|
97% |
175346
205.3 IPS |
|
|
Object Detection (SP)
|
100% |
5722
453.9 IPS |
|
|
Object Detection (HP)
|
100% |
4386
347.9 IPS |
|
|
Object Detection (Q)
|
88% |
13871
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
14409
171.2 IPS |
|
|
Face Detection (HP)
|
100% |
12377
147.1 IPS |
|
|
Face Detection (Q)
|
100% |
35063
416.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14925
115.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11815
91.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
52373
407.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42938
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20263
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
440692
568.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7716
284.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5364
198.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29457
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3695
4.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1786
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
3781
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5169
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4671
80.5 IPS |
|
|
Machine Translation (Q)
|
100% |
6017
103.7 IPS |
