Dell Inc. Latitude 7490
Geekbench AI Score
1034
Single Precision Score
991
Half Precision Score
595
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| Upload Date | February 13 2026 07:34 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-8650U |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Dell Inc. Latitude 7490 |
| Motherboard | Dell Inc. 0KP0FT |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8650U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
806
149.9 IPS |
|
|
Image Classification (HP)
|
100% |
810
150.7 IPS |
|
|
Image Classification (Q)
|
99% |
436
81.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
887
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
891
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
490
7.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
1196
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1060
1.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
941
1.10 IPS |
|
|
Object Detection (SP)
|
100% |
778
61.7 IPS |
|
|
Object Detection (HP)
|
100% |
787
62.4 IPS |
|
|
Object Detection (Q)
|
85% |
370
29.7 IPS |
|
|
Face Detection (SP)
|
100% |
1268
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
1275
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
971
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1207
9.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
1229
9.47 IPS |
|
|
Depth Estimation (Q)
|
63% |
832
7.80 IPS |
|
|
Style Transfer (SP)
|
100% |
1632
2.10 IPS |
|
|
Style Transfer (HP)
|
100% |
1624
2.09 IPS |
|
|
Style Transfer (Q)
|
98% |
2105
2.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
750
27.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
753
27.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
621
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
875
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
864
1.15 KIPS |
|
|
Text Classification (Q)
|
92% |
288
386.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (Q)
|
58% |
246
5.77 IPS |
