Dell Inc. Vostro 3020 SFF
Geekbench AI Score
3673
Single Precision Score
1379
Half Precision Score
6611
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 09 2026 04:31 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Vostro 3020 SFF |
| Motherboard | Dell Inc. 08VX12 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700 |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2976
553.4 IPS |
|
|
Image Classification (HP)
|
100% |
500
92.9 IPS |
|
|
Image Classification (Q)
|
99% |
5464
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1565
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
919
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8488
138.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6755
7.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
3656
4.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
22095
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
2552
202.4 IPS |
|
|
Object Detection (HP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (Q)
|
86% |
5706
458.6 IPS |
|
|
Face Detection (SP)
|
100% |
6191
73.6 IPS |
|
|
Face Detection (HP)
|
100% |
1478
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
8672
103.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7923
61.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1703
13.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
13675
109.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15458
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9202
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
12997
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2852
105.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1735
64.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4862
180.0 IPS |
|
|
Text Classification (SP)
|
100% |
1396
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
676
902.3 IPS |
|
|
Text Classification (Q)
|
97% |
1281
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1844
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
809
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2842
57.1 IPS |
