Dell Inc. Precision 5820 Tower
Geekbench AI Score
6708
Single Precision Score
6752
Half Precision Score
9273
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | radu103 |
| Upload Date | May 07 2025 12:55 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) W-2155 CPU @ 3.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Dell Inc. Precision 5820 Tower |
| Motherboard | Dell Inc. 002KVM |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2155 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.31 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4084
759.4 IPS |
|
|
Image Classification (HP)
|
100% |
4053
753.6 IPS |
|
|
Image Classification (Q)
|
100% |
5929
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5503
89.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5613
91.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7707
125.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10598
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
10844
12.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
18591
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
3974
315.2 IPS |
|
|
Object Detection (HP)
|
100% |
3921
311.0 IPS |
|
|
Object Detection (Q)
|
87% |
6051
485.3 IPS |
|
|
Face Detection (SP)
|
100% |
9294
110.4 IPS |
|
|
Face Detection (HP)
|
100% |
9370
111.3 IPS |
|
|
Face Detection (Q)
|
97% |
17369
207.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11819
91.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11871
91.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
15463
121.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31056
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31747
40.8 IPS |
|
|
Style Transfer (Q)
|
98% |
47942
61.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6007
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6168
227.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9255
342.8 IPS |
|
|
Text Classification (SP)
|
100% |
2518
3.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2553
3.41 KIPS |
|
|
Text Classification (Q)
|
91% |
2009
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3780
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3666
63.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3824
65.9 IPS |
