Dell Inc. Vostro 5490
Geekbench AI Score
820
Single Precision Score
814
Half Precision Score
551
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | June 19 2025 02:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-10510U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Dell Inc. Vostro 5490 |
| Motherboard | Dell Inc. 0M9F58 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10510U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 4.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
757
140.8 IPS |
|
|
Image Classification (HP)
|
100% |
641
119.2 IPS |
|
|
Image Classification (Q)
|
99% |
353
65.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
727
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
732
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
443
7.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
768
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
779
0.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
767
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
619
49.1 IPS |
|
|
Object Detection (HP)
|
100% |
616
48.9 IPS |
|
|
Object Detection (Q)
|
85% |
368
29.6 IPS |
|
|
Face Detection (SP)
|
100% |
985
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
972
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
859
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
868
6.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
876
6.75 IPS |
|
|
Depth Estimation (Q)
|
63% |
683
6.40 IPS |
|
|
Style Transfer (SP)
|
100% |
1133
1.46 IPS |
|
|
Style Transfer (HP)
|
100% |
1130
1.45 IPS |
|
|
Style Transfer (Q)
|
98% |
1671
2.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
537
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
488
18.1 IPS |
|
|
Text Classification (SP)
|
100% |
1104
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1176
1.57 KIPS |
|
|
Text Classification (Q)
|
92% |
435
584.4 IPS |
|
|
Machine Translation (SP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (Q)
|
58% |
284
6.67 IPS |
