Dell Inc. Vostro 5581
Geekbench AI Score
2053
Single Precision Score
1960
Half Precision Score
3217
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 01 2025 11:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8565U CPU @ 1.80GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Dell Inc. Vostro 5581 |
| Motherboard | Dell Inc. 0TPGK9 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8565U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 11 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
1413
262.9 IPS |
|
|
Image Classification (Q)
|
100% |
2157
401.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1428
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2367
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2636
3.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1643
1.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
3432
4.03 IPS |
|
|
Object Detection (SP)
|
100% |
1209
95.9 IPS |
|
|
Object Detection (HP)
|
100% |
1179
93.5 IPS |
|
|
Object Detection (Q)
|
87% |
2102
168.6 IPS |
|
|
Face Detection (SP)
|
100% |
2775
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
2789
33.1 IPS |
|
|
Face Detection (Q)
|
97% |
5542
66.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2778
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2780
21.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
5624
44.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5685
7.31 IPS |
|
|
Style Transfer (HP)
|
100% |
5744
7.38 IPS |
|
|
Style Transfer (Q)
|
98% |
13633
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1514
55.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3000
111.1 IPS |
|
|
Text Classification (SP)
|
100% |
1719
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1693
2.26 KIPS |
|
|
Text Classification (Q)
|
91% |
1218
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1908
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1879
32.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2082
35.9 IPS |
