Dell Inc. Latitude 7490
Geekbench AI Score
822
Single Precision Score
995
Half Precision Score
650
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | moba |
| Upload Date | March 19 2026 04:07 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 620 |
| 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% |
382
71.1 IPS |
|
|
Image Classification (HP)
|
100% |
435
81.0 IPS |
|
|
Image Classification (Q)
|
100% |
386
71.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
465
7.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
503
8.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
387
6.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
2034
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
3331
3.89 IPS |
|
|
Pose Estimation (Q)
|
97% |
1817
2.13 IPS |
|
|
Object Detection (SP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (HP)
|
98% |
390
31.0 IPS |
|
|
Object Detection (Q)
|
86% |
362
29.1 IPS |
|
|
Face Detection (SP)
|
100% |
659
7.83 IPS |
|
|
Face Detection (HP)
|
100% |
987
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
557
6.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
1502
11.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2018
15.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
1226
9.82 IPS |
|
|
Style Transfer (SP)
|
100% |
5353
6.88 IPS |
|
|
Style Transfer (HP)
|
100% |
8460
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
4322
5.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1056
39.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1413
52.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
667
24.7 IPS |
|
|
Text Classification (SP)
|
100% |
363
485.2 IPS |
|
|
Text Classification (HP)
|
100% |
312
416.1 IPS |
|
|
Text Classification (Q)
|
97% |
279
374.1 IPS |
|
|
Machine Translation (SP)
|
100% |
422
7.27 IPS |
|
|
Machine Translation (HP)
|
100% |
454
7.83 IPS |
|
|
Machine Translation (Q)
|
70% |
251
4.71 IPS |
