Dell Inc. Precision 5820 Tower
Geekbench AI Score
8089
Single Precision Score
7961
Half Precision Score
17403
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ACEII |
| Upload Date | October 25 2025 02:39 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) W-2275 CPU @ 3.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 5820 Tower |
| Motherboard | Dell Inc. 0TVW7J |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2275 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.31 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5113
950.9 IPS |
|
|
Image Classification (HP)
|
100% |
4794
891.6 IPS |
|
|
Image Classification (Q)
|
100% |
10408
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7280
118.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7506
121.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14203
230.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12836
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13292
15.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
58167
68.1 IPS |
|
|
Object Detection (SP)
|
100% |
4541
360.2 IPS |
|
|
Object Detection (HP)
|
100% |
4318
342.5 IPS |
|
|
Object Detection (Q)
|
88% |
11304
906.1 IPS |
|
|
Face Detection (SP)
|
100% |
12250
145.6 IPS |
|
|
Face Detection (HP)
|
100% |
12036
143.0 IPS |
|
|
Face Detection (Q)
|
100% |
29870
354.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13960
107.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12489
96.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
30353
236.1 IPS |
|
|
Style Transfer (SP)
|
100% |
39956
51.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40465
52.0 IPS |
|
|
Style Transfer (Q)
|
98% |
136349
175.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7623
281.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7788
287.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19201
711.1 IPS |
|
|
Text Classification (SP)
|
100% |
2552
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2523
3.37 KIPS |
|
|
Text Classification (Q)
|
92% |
2677
3.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4161
71.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4147
71.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4126
71.1 IPS |
