Dell Inc. Latitude 3450
Geekbench ML Score
298
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Puffin |
| Upload Date | February 29 2024 06:59 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 3450 |
| Motherboard | Dell Inc. 0D57HC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-5005U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| L1 Instruction Cache | 32.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 256 KB x 2 |
| L3 Cache | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 5500 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
178
33.3 IPS |
|
|
Image Classification (F16)
|
100% |
178
33.2 IPS |
|
|
Image Classification (I8)
|
100% |
74
13.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
252
4.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
252
4.22 IPS |
|
|
Image Segmentation (I8)
|
98% |
107
1.78 IPS |
|
|
Pose Estimation (F32)
|
100% |
813
0.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
811
0.98 IPS |
|
|
Pose Estimation (I8)
|
100% |
575
0.70 IPS |
|
|
Object Detection (F32)
|
100% |
210
15.7 IPS |
|
|
Object Detection (F16)
|
100% |
210
15.7 IPS |
|
|
Object Detection (I8)
|
63% |
95
7.10 IPS |
|
|
Face Detection (F32)
|
100% |
390
4.64 IPS |
|
|
Face Detection (F16)
|
100% |
390
4.63 IPS |
|
|
Face Detection (I8)
|
87% |
133
1.58 IPS |
|
|
Depth Estimation (F32)
|
56% |
671
5.20 IPS |
|
|
Depth Estimation (F16)
|
61% |
671
5.20 IPS |
|
|
Depth Estimation (I8)
|
94% |
327
2.54 IPS |
|
|
Style Transfer (F32)
|
100% |
1703
2.24 IPS |
|
|
Style Transfer (F16)
|
100% |
1703
2.24 IPS |
|
|
Style Transfer (I8)
|
98% |
1101
1.45 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
488
17.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
488
17.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
204
7.30 IPS |
|
|
Text Classification (F32)
|
100% |
226
324.1 IPS |
|
|
Text Classification (F16)
|
100% |
227
325.6 IPS |
|
|
Text Classification (I8)
|
98% |
40
57.4 IPS |
|
|
Machine Translation (F32)
|
100% |
398
7.33 IPS |
|
|
Machine Translation (F16)
|
100% |
399
7.34 IPS |
|
|
Machine Translation (I8)
|
71% |
47
0.87 IPS |
