Dell Inc. Latitude 5540
Geekbench AI Score
4944
Single Precision Score
6792
Half Precision Score
10419
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | DM9 |
| Upload Date | October 14 2025 11:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Latitude 5540 |
| Motherboard | Dell Inc. 031CD3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1370P |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2951
548.8 IPS |
|
|
Image Classification (HP)
|
100% |
4518
840.2 IPS |
|
|
Image Classification (Q)
|
99% |
6053
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4760
77.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7638
123.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8944
145.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10491
12.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
7643
8.92 IPS |
|
|
Pose Estimation (Q)
|
97% |
31204
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
2972
235.7 IPS |
|
|
Object Detection (HP)
|
100% |
4409
349.7 IPS |
|
|
Object Detection (Q)
|
90% |
7328
585.9 IPS |
|
|
Face Detection (SP)
|
100% |
8624
102.5 IPS |
|
|
Face Detection (HP)
|
100% |
12836
152.5 IPS |
|
|
Face Detection (Q)
|
100% |
18200
216.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10507
80.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
15868
122.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
21484
167.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26869
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36044
46.3 IPS |
|
|
Style Transfer (Q)
|
98% |
71176
91.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4410
162.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6839
252.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12325
456.4 IPS |
|
|
Text Classification (SP)
|
71% |
1222
1.77 KIPS |
|
|
Text Classification (HP)
|
71% |
1419
2.05 KIPS |
|
|
Text Classification (Q)
|
92% |
1388
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1520
26.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2525
43.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2559
44.2 IPS |
