Dell Inc. Precision 3570
Geekbench AI Score
2438
Single Precision Score
904
Half Precision Score
4178
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | boriga7 |
| Upload Date | June 21 2025 09:35 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% |
1908
354.7 IPS |
|
|
Image Classification (HP)
|
100% |
360
67.0 IPS |
|
|
Image Classification (Q)
|
99% |
3388
632.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
988
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
561
9.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
2217
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3934
4.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1940
2.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
12377
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1898
150.5 IPS |
|
|
Object Detection (HP)
|
100% |
445
35.3 IPS |
|
|
Object Detection (Q)
|
86% |
3628
291.6 IPS |
|
|
Face Detection (SP)
|
100% |
4504
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
1015
12.1 IPS |
|
|
Face Detection (Q)
|
97% |
5935
70.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5191
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1295
9.97 IPS |
|
|
Depth Estimation (Q)
|
78% |
9159
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9458
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6194
7.96 IPS |
|
|
Style Transfer (Q)
|
98% |
14324
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1724
63.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1222
45.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2452
90.8 IPS |
|
|
Text Classification (SP)
|
100% |
1081
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
448
597.6 IPS |
|
|
Text Classification (Q)
|
97% |
1196
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
471
8.11 IPS |
|
|
Machine Translation (Q)
|
65% |
2105
42.3 IPS |
