G Desktop Dell Inc. Inspiron 5680
Geekbench AI Score
3235
Single Precision Score
3243
Half Precision Score
2433
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ERTIS |
| Upload Date | March 18 2025 12:50 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 |
| 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% |
693
129.0 IPS |
|
|
Image Classification (HP)
|
100% |
1305
242.8 IPS |
|
|
Image Classification (Q)
|
99% |
636
118.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2065
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1793
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1693
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17431
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
9599
11.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
14721
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
975
77.4 IPS |
|
|
Object Detection (HP)
|
100% |
1600
126.9 IPS |
|
|
Object Detection (Q)
|
83% |
878
71.0 IPS |
|
|
Face Detection (SP)
|
100% |
1957
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
2873
34.1 IPS |
|
|
Face Detection (Q)
|
97% |
1730
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6507
50.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5970
46.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
5271
42.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29540
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17694
22.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24055
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6274
231.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4666
172.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4161
154.1 IPS |
|
|
Text Classification (SP)
|
100% |
1097
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1329
1.77 KIPS |
|
|
Text Classification (Q)
|
97% |
652
872.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1997
34.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1907
33.0 IPS |
|
|
Machine Translation (Q)
|
70% |
879
16.5 IPS |
