Dell Inc. Inspiron 3647
Geekbench AI Score
1408
Single Precision Score
733
Half Precision Score
1702
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 04 2026 11:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4790 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Inspiron 3647 |
| Motherboard | Dell Inc. 02YRK5 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1060
197.1 IPS |
|
|
Image Classification (HP)
|
100% |
273
50.8 IPS |
|
|
Image Classification (Q)
|
96% |
1238
231.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
577
9.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
411
6.66 IPS |
|
|
Image Segmentation (Q)
|
97% |
1358
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2248
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1928
2.25 IPS |
|
|
Pose Estimation (Q)
|
86% |
2650
3.13 IPS |
|
|
Object Detection (SP)
|
100% |
904
71.7 IPS |
|
|
Object Detection (HP)
|
100% |
352
27.9 IPS |
|
|
Object Detection (Q)
|
58% |
942
102.9 IPS |
|
|
Face Detection (SP)
|
100% |
1751
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
704
8.36 IPS |
|
|
Face Detection (Q)
|
96% |
2721
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2806
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1053
8.11 IPS |
|
|
Depth Estimation (Q)
|
78% |
2863
22.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5320
6.84 IPS |
|
|
Style Transfer (HP)
|
100% |
4291
5.52 IPS |
|
|
Style Transfer (Q)
|
87% |
5286
6.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1041
38.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
907
33.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1443
53.5 IPS |
|
|
Text Classification (SP)
|
100% |
997
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
502
669.7 IPS |
|
|
Text Classification (Q)
|
97% |
708
949.1 IPS |
|
|
Machine Translation (SP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
410
7.06 IPS |
|
|
Machine Translation (Q)
|
68% |
1157
22.4 IPS |
