Dell Inc. Precision 5540
Geekbench AI Score
5058
Single Precision Score
3993
Half Precision Score
3623
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 18 2025 04:13 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro T1000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 5540 |
| Motherboard | Dell Inc. 07C17G |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1854
344.8 IPS |
|
|
Image Classification (HP)
|
100% |
1695
315.2 IPS |
|
|
Image Classification (Q)
|
99% |
1602
298.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3772
61.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3124
50.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3081
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20760
24.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13320
15.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
17929
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.1 IPS |
|
|
Object Detection (HP)
|
100% |
2259
179.2 IPS |
|
|
Object Detection (Q)
|
83% |
2000
161.6 IPS |
|
|
Face Detection (SP)
|
100% |
5800
68.9 IPS |
|
|
Face Detection (HP)
|
100% |
4837
57.5 IPS |
|
|
Face Detection (Q)
|
97% |
4669
55.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11799
90.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9076
69.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
8956
71.5 IPS |
|
|
Style Transfer (SP)
|
100% |
37068
47.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25138
32.3 IPS |
|
|
Style Transfer (Q)
|
98% |
30697
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6565
242.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5466
201.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4511
167.0 IPS |
|
|
Text Classification (SP)
|
100% |
961
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
516
689.1 IPS |
|
|
Text Classification (Q)
|
97% |
479
641.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1921
33.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2080
35.9 IPS |
|
|
Machine Translation (Q)
|
70% |
795
14.9 IPS |
