Intel Core i7-4810MQ Dell Inc. Latitude E6540
Geekbench AI Score
1009
Single Precision Score
537
Half Precision Score
1093
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sarant |
| Upload Date | May 05 2025 10:52 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4810MQ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Dell Inc. Latitude E6540 |
| Motherboard | Dell Inc. 0725FP |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4810MQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
798
148.4 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (Q)
|
96% |
1012
189.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
489
7.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
331
5.37 IPS |
|
|
Image Segmentation (Q)
|
97% |
637
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1599
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1320
1.54 IPS |
|
|
Pose Estimation (Q)
|
86% |
1970
2.33 IPS |
|
|
Object Detection (SP)
|
100% |
696
55.2 IPS |
|
|
Object Detection (HP)
|
100% |
278
22.0 IPS |
|
|
Object Detection (Q)
|
58% |
666
72.8 IPS |
|
|
Face Detection (SP)
|
100% |
1416
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
615
7.30 IPS |
|
|
Face Detection (Q)
|
96% |
2118
25.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1861
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
787
6.06 IPS |
|
|
Depth Estimation (Q)
|
78% |
2151
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3639
4.68 IPS |
|
|
Style Transfer (HP)
|
100% |
2811
3.61 IPS |
|
|
Style Transfer (Q)
|
87% |
4076
5.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
631
23.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
576
21.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
784
29.1 IPS |
|
|
Text Classification (SP)
|
100% |
623
832.0 IPS |
|
|
Text Classification (HP)
|
100% |
295
393.7 IPS |
|
|
Text Classification (Q)
|
97% |
225
301.9 IPS |
|
|
Machine Translation (SP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
299
5.16 IPS |
|
|
Machine Translation (Q)
|
68% |
883
17.1 IPS |
