Dell Inc. Precision 3581
Geekbench AI Score
2900
Single Precision Score
2910
Half Precision Score
1759
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 11:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Precision 3581 |
| Motherboard | Dell Inc. 0V8YXF |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13800H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1489
276.9 IPS |
|
|
Image Classification (HP)
|
100% |
1613
300.0 IPS |
|
|
Image Classification (Q)
|
100% |
1244
231.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2275
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2635
42.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1642
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12552
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9835
11.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
5445
6.38 IPS |
|
|
Object Detection (SP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (HP)
|
98% |
1225
97.5 IPS |
|
|
Object Detection (Q)
|
86% |
1117
89.8 IPS |
|
|
Face Detection (SP)
|
100% |
2510
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
3012
35.8 IPS |
|
|
Face Detection (Q)
|
97% |
1844
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4610
35.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5149
39.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
3365
27.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20324
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21741
27.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10370
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2638
97.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4221
155.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1306
48.3 IPS |
|
|
Text Classification (SP)
|
100% |
910
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
485
647.1 IPS |
|
|
Text Classification (Q)
|
97% |
505
676.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (Q)
|
70% |
540
10.1 IPS |
