Dell Inc. Latitude E7470
Geekbench AI Score
714
Single Precision Score
410
Half Precision Score
826
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 06:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6600U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude E7470 |
| Motherboard | Dell Inc. 0T6HHJ |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6600U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
484
89.9 IPS |
|
|
Image Classification (HP)
|
100% |
221
41.1 IPS |
|
|
Image Classification (Q)
|
96% |
796
148.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
366
5.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
316
5.13 IPS |
|
|
Image Segmentation (Q)
|
97% |
481
7.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
921
1.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
795
0.93 IPS |
|
|
Pose Estimation (Q)
|
86% |
1513
1.79 IPS |
|
|
Object Detection (SP)
|
100% |
444
35.2 IPS |
|
|
Object Detection (HP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (Q)
|
58% |
480
52.5 IPS |
|
|
Face Detection (SP)
|
100% |
1227
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
498
5.92 IPS |
|
|
Face Detection (Q)
|
96% |
1558
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1234
9.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
565
4.36 IPS |
|
|
Depth Estimation (Q)
|
78% |
1730
13.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2586
3.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1734
2.23 IPS |
|
|
Style Transfer (Q)
|
87% |
2766
3.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
437
16.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
313
11.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
660
24.4 IPS |
|
|
Text Classification (SP)
|
100% |
458
611.8 IPS |
|
|
Text Classification (HP)
|
100% |
304
406.4 IPS |
|
|
Text Classification (Q)
|
97% |
171
229.1 IPS |
|
|
Machine Translation (SP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
256
4.41 IPS |
|
|
Machine Translation (Q)
|
68% |
639
12.3 IPS |
