G Desktop Dell Inc. Inspiron 5680
Geekbench AI Score
1287
Single Precision Score
664
Half Precision Score
1934
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ERTIS |
| Upload Date | March 18 2025 12:45 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-8100 |
| 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% |
1016
189.0 IPS |
|
|
Image Classification (HP)
|
100% |
260
48.3 IPS |
|
|
Image Classification (Q)
|
96% |
1722
321.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
467
7.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
348
5.64 IPS |
|
|
Image Segmentation (Q)
|
97% |
1051
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2177
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1864
2.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
4401
5.20 IPS |
|
|
Object Detection (SP)
|
100% |
914
72.5 IPS |
|
|
Object Detection (HP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (Q)
|
58% |
1155
126.2 IPS |
|
|
Face Detection (SP)
|
100% |
1271
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
601
7.14 IPS |
|
|
Face Detection (Q)
|
96% |
2749
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2501
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
957
7.37 IPS |
|
|
Depth Estimation (Q)
|
78% |
3929
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5194
6.68 IPS |
|
|
Style Transfer (HP)
|
100% |
4273
5.49 IPS |
|
|
Style Transfer (Q)
|
87% |
5525
7.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
961
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
780
28.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1401
51.9 IPS |
|
|
Text Classification (SP)
|
100% |
854
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
455
606.8 IPS |
|
|
Text Classification (Q)
|
97% |
862
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
978
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
361
6.22 IPS |
|
|
Machine Translation (Q)
|
68% |
1105
21.3 IPS |
