G Desktop Dell Inc. Inspiron 5680
Geekbench AI Score
1686
Single Precision Score
1726
Half Precision Score
2966
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ERTIS |
| Upload Date | March 18 2025 01:05 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-8100 CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Inspiron 5680 |
| Motherboard | Dell Inc. 0PXWHK |
| Power Plan | Dell |
| CPU Information | |
|---|---|
| Name | Intel Core i3-8100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
848
157.8 IPS |
|
|
Image Classification (HP)
|
100% |
975
181.3 IPS |
|
|
Image Classification (Q)
|
100% |
1895
352.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
864
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
894
14.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1880
30.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2326
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
2368
2.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
4616
5.41 IPS |
|
|
Object Detection (SP)
|
100% |
933
74.0 IPS |
|
|
Object Detection (HP)
|
100% |
970
77.0 IPS |
|
|
Object Detection (Q)
|
87% |
1936
155.3 IPS |
|
|
Face Detection (SP)
|
100% |
1569
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
1631
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
4808
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2810
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2774
21.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
5319
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6847
8.80 IPS |
|
|
Style Transfer (HP)
|
100% |
6855
8.81 IPS |
|
|
Style Transfer (Q)
|
98% |
13757
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1456
53.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1394
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2833
104.9 IPS |
|
|
Text Classification (SP)
|
100% |
1592
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1609
2.15 KIPS |
|
|
Text Classification (Q)
|
91% |
978
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1669
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1691
29.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1698
29.2 IPS |
