Dell Inc. Precision 5820 Tower
Geekbench AI Score
4172
Single Precision Score
1284
Half Precision Score
5648
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ACEII |
| Upload Date | February 21 2025 09:20 AM |
| Views | 2 |
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% |
3506
652.1 IPS |
|
|
Image Classification (HP)
|
100% |
328
61.0 IPS |
|
|
Image Classification (Q)
|
99% |
6108
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
626
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2433
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13766
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8876
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
34397
40.3 IPS |
|
|
Object Detection (SP)
|
100% |
3011
238.9 IPS |
|
|
Object Detection (HP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (Q)
|
86% |
6436
517.3 IPS |
|
|
Face Detection (SP)
|
100% |
5618
66.7 IPS |
|
|
Face Detection (HP)
|
100% |
1079
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
8294
98.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12006
92.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1476
11.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
13357
106.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24613
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17660
22.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19560
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3098
114.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2337
86.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2591
95.9 IPS |
|
|
Text Classification (SP)
|
100% |
1129
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
513
684.2 IPS |
|
|
Text Classification (Q)
|
97% |
938
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1483
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
437
7.52 IPS |
|
|
Machine Translation (Q)
|
65% |
1909
38.4 IPS |
