Dell Inc. Latitude 5580
Geekbench AI Score
799
Single Precision Score
452
Half Precision Score
900
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Turiontl56 |
| Upload Date | October 02 2024 10:59 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7600U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Latitude 5580 |
| Motherboard | Dell Inc. 0D65MX |
| Power Plan | Dell |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7600U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
463
86.2 IPS |
|
|
Image Classification (HP)
|
100% |
204
37.9 IPS |
|
|
Image Classification (Q)
|
96% |
699
130.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
406
6.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
297
4.82 IPS |
|
|
Image Segmentation (Q)
|
97% |
548
8.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
1089
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
818
0.95 IPS |
|
|
Pose Estimation (Q)
|
87% |
1780
2.10 IPS |
|
|
Object Detection (SP)
|
100% |
484
38.4 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
86% |
485
39.0 IPS |
|
|
Face Detection (SP)
|
100% |
961
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
507
6.03 IPS |
|
|
Face Detection (Q)
|
96% |
1330
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1376
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
650
5.01 IPS |
|
|
Depth Estimation (Q)
|
77% |
1290
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2773
3.56 IPS |
|
|
Style Transfer (HP)
|
100% |
2014
2.59 IPS |
|
|
Style Transfer (Q)
|
87% |
3669
4.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
543
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
470
17.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
876
32.5 IPS |
|
|
Text Classification (SP)
|
100% |
669
893.4 IPS |
|
|
Text Classification (HP)
|
100% |
336
449.0 IPS |
|
|
Text Classification (Q)
|
97% |
286
383.1 IPS |
|
|
Machine Translation (SP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
304
5.24 IPS |
|
|
Machine Translation (Q)
|
60% |
673
15.0 IPS |
