Dell Precision Mobile Workstation 7540 Dell Inc. Precision 7540
Geekbench AI Score
1481
Single Precision Score
660
Half Precision Score
2103
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tacsignals |
| Upload Date | June 16 2025 12:27 PM |
| Views | 5 |
| Notes | Performed with device in full deployment mode with background apps running. Initial testing following undervolting CPU and integrated GPU. |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9850H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Dell Inc. Precision 7540 |
| Motherboard | Dell Inc. 0GRT7C |
| Power Plan | QuickCpuScheme |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9850H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1093
203.3 IPS |
|
|
Image Classification (HP)
|
100% |
242
45.0 IPS |
|
|
Image Classification (Q)
|
96% |
1789
334.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (Q)
|
97% |
1197
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2271
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1776
2.07 IPS |
|
|
Pose Estimation (Q)
|
86% |
4105
4.85 IPS |
|
|
Object Detection (SP)
|
100% |
1028
81.6 IPS |
|
|
Object Detection (HP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (Q)
|
58% |
1234
134.8 IPS |
|
|
Face Detection (SP)
|
100% |
2324
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
659
7.83 IPS |
|
|
Face Detection (Q)
|
96% |
3415
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2813
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
850
6.55 IPS |
|
|
Depth Estimation (Q)
|
78% |
3959
31.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5713
7.34 IPS |
|
|
Style Transfer (HP)
|
100% |
4061
5.22 IPS |
|
|
Style Transfer (Q)
|
87% |
7754
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
994
36.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
828
30.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1336
49.5 IPS |
|
|
Text Classification (SP)
|
100% |
791
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
405
540.3 IPS |
|
|
Text Classification (Q)
|
97% |
783
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
422
7.26 IPS |
|
|
Machine Translation (Q)
|
68% |
1429
27.6 IPS |
