Dell Inc. Latitude 7455
Geekbench ML Score
2240
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | July 15 2024 01:09 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 7455 |
| Motherboard | Dell Inc. 032Y94 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E80100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Snapdragon(R) X Elite - X1E80100 - Qualcomm(R) Adreno(TM) GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1375
257.3 IPS |
|
|
Image Classification (F16)
|
100% |
1315
246.0 IPS |
|
|
Image Classification (I8)
|
100% |
1133
211.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1657
27.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1698
28.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1428
23.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
9548
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
8793
10.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
8571
10.4 IPS |
|
|
Object Detection (F32)
|
100% |
1056
78.9 IPS |
|
|
Object Detection (F16)
|
100% |
1206
90.1 IPS |
|
|
Object Detection (I8)
|
71% |
1060
79.1 IPS |
|
|
Face Detection (F32)
|
100% |
2446
29.1 IPS |
|
|
Face Detection (F16)
|
100% |
2550
30.3 IPS |
|
|
Face Detection (I8)
|
93% |
2068
24.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5412
42.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
5413
42.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
4517
35.0 IPS |
|
|
Style Transfer (F32)
|
100% |
12702
16.7 IPS |
|
|
Style Transfer (F16)
|
100% |
12923
17.0 IPS |
|
|
Style Transfer (I8)
|
98% |
11568
15.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4930
176.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4912
175.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3601
128.6 IPS |
|
|
Text Classification (F32)
|
100% |
287
412.9 IPS |
|
|
Text Classification (F16)
|
100% |
286
411.4 IPS |
|
|
Text Classification (I8)
|
98% |
240
344.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1038
19.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1041
19.2 IPS |
|
|
Machine Translation (I8)
|
65% |
670
12.3 IPS |
