Dell Inc. Latitude 7440
Geekbench ML Score
1892
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 06:58 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Latitude 7440 |
| Motherboard | Dell Inc. 0PT9FG |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1345U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
911
170.5 IPS |
|
|
Image Classification (F16)
|
100% |
918
171.8 IPS |
|
|
Image Classification (I8)
|
100% |
721
134.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1363
22.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1341
22.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1020
17.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
8390
10.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
7774
9.41 IPS |
|
|
Pose Estimation (I8)
|
100% |
4567
5.53 IPS |
|
|
Object Detection (F32)
|
100% |
876
65.4 IPS |
|
|
Object Detection (F16)
|
100% |
1084
80.9 IPS |
|
|
Object Detection (I8)
|
54% |
810
60.4 IPS |
|
|
Face Detection (F32)
|
100% |
2025
24.1 IPS |
|
|
Face Detection (F16)
|
100% |
2058
24.5 IPS |
|
|
Face Detection (I8)
|
89% |
1298
15.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4398
34.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
4402
34.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
3155
24.5 IPS |
|
|
Style Transfer (F32)
|
100% |
18352
24.1 IPS |
|
|
Style Transfer (F16)
|
100% |
18275
24.0 IPS |
|
|
Style Transfer (I8)
|
98% |
11896
15.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2728
97.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2671
95.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1209
43.2 IPS |
|
|
Text Classification (F32)
|
100% |
767
1.10 KIPS |
|
|
Text Classification (F16)
|
100% |
757
1.09 KIPS |
|
|
Text Classification (I8)
|
98% |
390
559.9 IPS |
|
|
Machine Translation (F32)
|
100% |
821
15.1 IPS |
|
|
Machine Translation (F16)
|
100% |
845
15.6 IPS |
|
|
Machine Translation (I8)
|
70% |
437
8.04 IPS |
