Dell Inc. Vostro 5481
Geekbench AI Score
1289
Single Precision Score
1288
Half Precision Score
944
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | vikaspoonia |
| Upload Date | September 06 2024 07:10 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce MX130 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Dell Inc. Vostro 5481 |
| Motherboard | Dell Inc. 0D99JV |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8265U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 11 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
487
90.6 IPS |
|
|
Image Classification (HP)
|
100% |
493
91.7 IPS |
|
|
Image Classification (Q)
|
100% |
402
74.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
542
8.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
4422
5.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
4185
4.88 IPS |
|
|
Pose Estimation (Q)
|
97% |
3898
4.56 IPS |
|
|
Object Detection (SP)
|
100% |
602
47.8 IPS |
|
|
Object Detection (HP)
|
100% |
615
48.8 IPS |
|
|
Object Detection (Q)
|
89% |
469
37.5 IPS |
|
|
Face Detection (SP)
|
100% |
974
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
1019
12.1 IPS |
|
|
Face Detection (Q)
|
97% |
778
9.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
2342
18.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2344
18.1 IPS |
|
|
Depth Estimation (Q)
|
75% |
1842
14.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7237
9.30 IPS |
|
|
Style Transfer (HP)
|
100% |
7102
9.13 IPS |
|
|
Style Transfer (Q)
|
98% |
6118
7.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2037
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2013
74.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1420
52.6 IPS |
|
|
Text Classification (SP)
|
100% |
608
811.8 IPS |
|
|
Text Classification (HP)
|
100% |
627
836.9 IPS |
|
|
Text Classification (Q)
|
97% |
371
496.7 IPS |
|
|
Machine Translation (SP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (HP)
|
96% |
697
12.1 IPS |
|
|
Machine Translation (Q)
|
59% |
307
7.12 IPS |
