Dell Inc. Inspiron 3470
Geekbench AI Score
1840
Single Precision Score
889
Half Precision Score
2682
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 12:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Inspiron 3470 |
| Motherboard | Dell Inc. 0D02VH |
| Power Plan | Dell |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8400 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1368
254.4 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.1 IPS |
|
|
Image Classification (Q)
|
96% |
2620
489.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
676
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
450
7.30 IPS |
|
|
Image Segmentation (Q)
|
97% |
1584
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3376
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
3114
3.63 IPS |
|
|
Pose Estimation (Q)
|
86% |
7155
8.46 IPS |
|
|
Object Detection (SP)
|
100% |
1442
114.4 IPS |
|
|
Object Detection (HP)
|
100% |
385
30.6 IPS |
|
|
Object Detection (Q)
|
58% |
1751
191.3 IPS |
|
|
Face Detection (SP)
|
100% |
1600
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
700
8.32 IPS |
|
|
Face Detection (Q)
|
96% |
3887
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4099
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1214
9.36 IPS |
|
|
Depth Estimation (Q)
|
78% |
5563
44.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8167
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7126
9.16 IPS |
|
|
Style Transfer (Q)
|
87% |
7301
9.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1485
54.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1274
47.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1874
69.4 IPS |
|
|
Text Classification (SP)
|
100% |
1216
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
600
800.5 IPS |
|
|
Text Classification (Q)
|
97% |
1035
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
413
7.12 IPS |
|
|
Machine Translation (Q)
|
68% |
1213
23.4 IPS |
