Dell Inc. Inspiron 5680
Geekbench AI Score
3760
Single Precision Score
3906
Half Precision Score
2929
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | thehighrollah |
| Upload Date | February 09 2026 07:06 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 3GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Inspiron 5680 |
| Motherboard | Dell Inc. 0PXWHK |
| Power Plan | Dell |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1376
255.9 IPS |
|
|
Image Classification (HP)
|
100% |
1398
260.1 IPS |
|
|
Image Classification (Q)
|
100% |
1217
226.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2678
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2843
46.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2278
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14340
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14574
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12987
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1830
145.2 IPS |
|
|
Object Detection (HP)
|
100% |
1934
153.4 IPS |
|
|
Object Detection (Q)
|
86% |
1602
128.7 IPS |
|
|
Face Detection (SP)
|
100% |
4338
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
4616
54.8 IPS |
|
|
Face Detection (Q)
|
97% |
3654
43.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6205
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6395
49.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
5255
42.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27234
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28070
36.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23758
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4234
156.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4427
163.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3412
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
957
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1029
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
641
858.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1969
33.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1955
33.8 IPS |
|
|
Machine Translation (Q)
|
70% |
810
15.2 IPS |
