Dell Inc. Precision 5820 Tower
Geekbench AI Score
5849
Single Precision Score
5965
Half Precision Score
8571
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | SAVTECH |
| Upload Date | February 13 2026 03:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) W-2145 CPU @ 3.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Dell Inc. Precision 5820 Tower |
| Motherboard | Dell Inc. 06JWJY |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2145 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3770
701.2 IPS |
|
|
Image Classification (HP)
|
100% |
3683
684.9 IPS |
|
|
Image Classification (Q)
|
100% |
5559
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3811
61.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3911
63.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6264
101.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9333
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9344
10.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
16418
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
3779
299.7 IPS |
|
|
Object Detection (HP)
|
100% |
3710
294.3 IPS |
|
|
Object Detection (Q)
|
87% |
5776
463.3 IPS |
|
|
Face Detection (SP)
|
100% |
6836
81.2 IPS |
|
|
Face Detection (HP)
|
100% |
6950
82.6 IPS |
|
|
Face Detection (Q)
|
97% |
16030
191.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11263
86.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11380
87.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
14666
115.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24644
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27547
35.4 IPS |
|
|
Style Transfer (Q)
|
98% |
42760
55.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5456
201.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5534
204.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8389
310.8 IPS |
|
|
Text Classification (SP)
|
100% |
2486
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2634
3.52 KIPS |
|
|
Text Classification (Q)
|
91% |
2111
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3597
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3599
62.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3642
62.7 IPS |
