Dell Inc. Precision 5860 Tower
Geekbench AI Score
2815
Single Precision Score
1147
Half Precision Score
5266
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | marcelo_hqs |
| Upload Date | March 26 2026 12:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon w3-2423 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Dell Inc. Precision 5860 Tower |
| Motherboard | Dell Inc. 0VRCRM |
| CPU Information | |
|---|---|
| Name | Intel Xeon w3-2423 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2144
398.7 IPS |
|
|
Image Classification (HP)
|
100% |
387
72.1 IPS |
|
|
Image Classification (Q)
|
99% |
4708
878.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
606
9.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
5560
90.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5321
6.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
3975
4.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
19322
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
2034
161.3 IPS |
|
|
Object Detection (HP)
|
100% |
514
40.7 IPS |
|
|
Object Detection (Q)
|
86% |
4861
390.7 IPS |
|
|
Face Detection (SP)
|
100% |
4081
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
1026
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
6131
73.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6073
46.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1511
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10472
83.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11630
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8079
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
11959
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2156
79.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1730
63.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4600
170.3 IPS |
|
|
Text Classification (SP)
|
100% |
1275
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
606
809.0 IPS |
|
|
Text Classification (Q)
|
97% |
987
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1585
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
630
10.9 IPS |
|
|
Machine Translation (Q)
|
65% |
1914
38.5 IPS |
