Dell Precision 3571 Dell Inc. Precision 3571
Geekbench AI Score
2932
Single Precision Score
3003
Half Precision Score
1845
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | tocophonic |
| Upload Date | December 20 2025 12:21 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 3571 |
| Motherboard | Dell Inc. 07K1M2 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1203
223.7 IPS |
|
|
Image Classification (HP)
|
100% |
1329
247.1 IPS |
|
|
Image Classification (Q)
|
100% |
1039
193.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2010
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1462
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11644
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12475
14.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
6003
7.03 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
98% |
1313
104.5 IPS |
|
|
Object Detection (Q)
|
86% |
1214
97.6 IPS |
|
|
Face Detection (SP)
|
100% |
2815
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
3532
42.0 IPS |
|
|
Face Detection (Q)
|
97% |
2070
24.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6008
46.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6699
51.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
4198
33.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25643
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32989
42.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16202
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3490
128.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4556
168.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1492
55.2 IPS |
|
|
Text Classification (SP)
|
100% |
697
931.0 IPS |
|
|
Text Classification (HP)
|
100% |
347
462.9 IPS |
|
|
Text Classification (Q)
|
97% |
397
531.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1092
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (Q)
|
70% |
497
9.32 IPS |
