Dell Inc. Precision 3570
Geekbench AI Score
2215
Single Precision Score
857
Half Precision Score
4085
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | boriga7 |
| Upload Date | June 21 2025 08:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1250P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 3570 |
| Motherboard | Dell Inc. 07RFGX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1250P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1842
342.6 IPS |
|
|
Image Classification (HP)
|
100% |
331
61.5 IPS |
|
|
Image Classification (Q)
|
99% |
3264
608.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
805
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
578
9.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
2094
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3430
4.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
1837
2.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
11579
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1720
136.4 IPS |
|
|
Object Detection (HP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (Q)
|
86% |
3628
291.6 IPS |
|
|
Face Detection (SP)
|
100% |
4236
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
927
11.0 IPS |
|
|
Face Detection (Q)
|
97% |
5782
68.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4958
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1139
8.77 IPS |
|
|
Depth Estimation (Q)
|
78% |
9704
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9093
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6126
7.88 IPS |
|
|
Style Transfer (Q)
|
98% |
13621
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1506
55.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1115
41.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2594
96.0 IPS |
|
|
Text Classification (SP)
|
100% |
973
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
459
612.3 IPS |
|
|
Text Classification (Q)
|
97% |
1159
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1164
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
440
7.58 IPS |
|
|
Machine Translation (Q)
|
65% |
1966
39.5 IPS |
