Dell Inc. Latitude 7490
Geekbench AI Score
1267
Single Precision Score
2051
Half Precision Score
1914
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | moba |
| Upload Date | March 19 2026 04:19 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 620 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 7490 |
| Motherboard | Dell Inc. 0KP0FT |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8650U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
912
169.5 IPS |
|
|
Image Classification (HP)
|
100% |
1275
237.1 IPS |
|
|
Image Classification (Q)
|
100% |
1174
218.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
805
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1768
28.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1632
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2173
2.54 IPS |
|
|
Pose Estimation (HP)
|
99% |
2203
2.58 IPS |
|
|
Pose Estimation (Q)
|
97% |
3077
3.60 IPS |
|
|
Object Detection (SP)
|
100% |
803
63.7 IPS |
|
|
Object Detection (HP)
|
99% |
1445
114.9 IPS |
|
|
Object Detection (Q)
|
88% |
1342
107.6 IPS |
|
|
Face Detection (SP)
|
100% |
1588
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
3155
37.5 IPS |
|
|
Face Detection (Q)
|
97% |
2852
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2412
18.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
4628
35.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
4089
31.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6117
7.86 IPS |
|
|
Style Transfer (HP)
|
100% |
8430
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
7618
9.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1071
39.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1937
71.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1855
68.7 IPS |
|
|
Text Classification (SP)
|
71% |
538
778.7 IPS |
|
|
Text Classification (HP)
|
71% |
771
1.11 KIPS |
|
|
Text Classification (Q)
|
92% |
511
686.7 IPS |
|
|
Machine Translation (SP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (HP)
|
99% |
1002
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
994
17.2 IPS |
