Dell Inc. Precision 5570
Geekbench AI Score
2091
Single Precision Score
2095
Half Precision Score
1285
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 14 2025 11:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 5570 |
| Motherboard | Dell Inc. 03M8N5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| 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% |
910
169.3 IPS |
|
|
Image Classification (HP)
|
100% |
948
176.4 IPS |
|
|
Image Classification (Q)
|
100% |
778
144.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1434
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1710
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1016
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7821
9.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
7746
9.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
3910
4.58 IPS |
|
|
Object Detection (SP)
|
100% |
1020
80.9 IPS |
|
|
Object Detection (HP)
|
98% |
918
73.1 IPS |
|
|
Object Detection (Q)
|
86% |
855
68.7 IPS |
|
|
Face Detection (SP)
|
100% |
2121
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
2531
30.1 IPS |
|
|
Face Detection (Q)
|
97% |
1517
18.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4156
32.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4514
34.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
2776
22.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17910
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22007
28.3 IPS |
|
|
Style Transfer (Q)
|
98% |
10723
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2409
89.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3051
112.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1001
37.1 IPS |
|
|
Text Classification (SP)
|
100% |
537
716.2 IPS |
|
|
Text Classification (HP)
|
100% |
272
363.3 IPS |
|
|
Text Classification (Q)
|
97% |
309
414.0 IPS |
|
|
Machine Translation (SP)
|
100% |
752
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
70% |
333
6.25 IPS |
