Dell Inc. Latitude 7490
Geekbench AI Score
1602
Single Precision Score
1571
Half Precision Score
2756
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | moba |
| Upload Date | March 19 2026 04:12 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz |
| 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% |
1211
225.1 IPS |
|
|
Image Classification (HP)
|
100% |
1231
229.0 IPS |
|
|
Image Classification (Q)
|
100% |
2069
384.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
863
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
865
14.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1929
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2198
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1715
2.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
3821
4.48 IPS |
|
|
Object Detection (SP)
|
100% |
1001
79.4 IPS |
|
|
Object Detection (HP)
|
100% |
1003
79.5 IPS |
|
|
Object Detection (Q)
|
87% |
1980
158.8 IPS |
|
|
Face Detection (SP)
|
100% |
1462
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
1429
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
5057
60.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2510
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2453
18.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
4853
38.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5392
6.93 IPS |
|
|
Style Transfer (HP)
|
100% |
5291
6.80 IPS |
|
|
Style Transfer (Q)
|
98% |
12444
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1193
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1267
46.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2804
103.9 IPS |
|
|
Text Classification (SP)
|
100% |
1507
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1472
1.96 KIPS |
|
|
Text Classification (Q)
|
91% |
710
954.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1364
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1450
25.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1380
23.8 IPS |
