Dell Precision 3571 Dell Inc. Precision 3571
Geekbench AI Score
4865
Single Precision Score
6408
Half Precision Score
9653
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | tocophonic |
| Upload Date | December 20 2025 12:52 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
2971
552.4 IPS |
|
|
Image Classification (HP)
|
100% |
4376
813.8 IPS |
|
|
Image Classification (Q)
|
99% |
5529
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4442
72.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7262
117.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8328
135.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10815
12.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
7916
9.24 IPS |
|
|
Pose Estimation (Q)
|
97% |
32528
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
2900
230.1 IPS |
|
|
Object Detection (HP)
|
100% |
4206
333.6 IPS |
|
|
Object Detection (Q)
|
90% |
6918
553.1 IPS |
|
|
Face Detection (SP)
|
100% |
6969
82.8 IPS |
|
|
Face Detection (HP)
|
100% |
11688
138.9 IPS |
|
|
Face Detection (Q)
|
100% |
17011
202.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10277
79.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
15797
122.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
20737
161.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27725
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34340
44.1 IPS |
|
|
Style Transfer (Q)
|
98% |
74474
96.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4509
166.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7031
259.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12647
468.4 IPS |
|
|
Text Classification (SP)
|
71% |
1230
1.78 KIPS |
|
|
Text Classification (HP)
|
71% |
1668
2.41 KIPS |
|
|
Text Classification (Q)
|
92% |
1373
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1630
28.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1485
25.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1487
25.7 IPS |
