Dell Inc. Precision 3581
Geekbench AI Score
2327
Single Precision Score
791
Half Precision Score
3307
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 11:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13800H |
| 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% |
2211
411.2 IPS |
|
|
Image Classification (HP)
|
100% |
409
76.1 IPS |
|
|
Image Classification (Q)
|
99% |
4219
786.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1323
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
637
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1882
30.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3950
4.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1968
2.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
13316
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1962
155.6 IPS |
|
|
Object Detection (HP)
|
100% |
356
28.2 IPS |
|
|
Object Detection (Q)
|
86% |
3832
308.0 IPS |
|
|
Face Detection (SP)
|
100% |
5780
68.7 IPS |
|
|
Face Detection (HP)
|
100% |
1132
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
6280
74.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5741
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1194
9.20 IPS |
|
|
Depth Estimation (Q)
|
78% |
10964
87.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7377
9.48 IPS |
|
|
Style Transfer (HP)
|
100% |
4703
6.05 IPS |
|
|
Style Transfer (Q)
|
98% |
15846
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1652
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
770
28.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1504
55.7 IPS |
|
|
Text Classification (SP)
|
100% |
551
735.5 IPS |
|
|
Text Classification (HP)
|
100% |
314
419.6 IPS |
|
|
Text Classification (Q)
|
97% |
192
257.7 IPS |
|
|
Machine Translation (SP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
345
5.95 IPS |
|
|
Machine Translation (Q)
|
65% |
1229
24.7 IPS |
