Dell Inc. Precision 5820 Tower X-Series
Geekbench AI Score
16650
Single Precision Score
23318
Half Precision Score
11463
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | droobie |
| Upload Date | December 13 2024 07:34 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 5820 Tower X-Series |
| Motherboard | Dell Inc. 0XNJ2Y |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10980XE |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6529
1.21 KIPS |
|
|
Image Classification (HP)
|
99% |
8762
1.63 KIPS |
|
|
Image Classification (Q)
|
100% |
4879
907.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7419
120.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8469
137.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6403
104.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
122931
143.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
286809
334.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
99425
116.5 IPS |
|
|
Object Detection (SP)
|
100% |
8656
686.6 IPS |
|
|
Object Detection (HP)
|
100% |
11564
917.3 IPS |
|
|
Object Detection (Q)
|
85% |
6338
509.8 IPS |
|
|
Face Detection (SP)
|
100% |
18897
224.5 IPS |
|
|
Face Detection (HP)
|
100% |
22080
262.4 IPS |
|
|
Face Detection (Q)
|
97% |
15006
178.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
50612
389.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
84754
653.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
32425
259.8 IPS |
|
|
Style Transfer (SP)
|
100% |
219427
282.1 IPS |
|
|
Style Transfer (HP)
|
100% |
472361
607.2 IPS |
|
|
Style Transfer (Q)
|
98% |
169250
218.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30647
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
37409
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17972
665.5 IPS |
|
|
Text Classification (SP)
|
100% |
2323
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
2767
3.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1214
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2127
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2111
36.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1108
20.8 IPS |
