Dell Inc. Precision 5820 Tower
Geekbench AI Score
3790
Single Precision Score
1217
Half Precision Score
5558
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ACEII |
| Upload Date | February 21 2025 08:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon W-2275 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 5820 Tower |
| Motherboard | Dell Inc. 0TVW7J |
| Power Plan | Ultimative Leistung |
| 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 | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2637
490.3 IPS |
|
|
Image Classification (HP)
|
100% |
290
53.9 IPS |
|
|
Image Classification (Q)
|
99% |
5667
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1069
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
538
8.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
2385
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11602
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7683
8.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
33229
39.0 IPS |
|
|
Object Detection (SP)
|
100% |
2547
202.0 IPS |
|
|
Object Detection (HP)
|
100% |
438
34.7 IPS |
|
|
Object Detection (Q)
|
86% |
6381
512.9 IPS |
|
|
Face Detection (SP)
|
100% |
5452
64.8 IPS |
|
|
Face Detection (HP)
|
100% |
1062
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
8264
98.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11761
90.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1487
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
13351
106.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24176
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17458
22.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19664
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2887
106.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2218
81.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2564
95.0 IPS |
|
|
Text Classification (SP)
|
100% |
1122
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
513
684.3 IPS |
|
|
Text Classification (Q)
|
97% |
928
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1462
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
434
7.47 IPS |
|
|
Machine Translation (Q)
|
65% |
1903
38.2 IPS |
