Dell Inc. Latitude 7455
Geekbench ML Score
2154
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 01 2024 03:39 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 | Ausbalanciert |
| 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 | Qualcomm(R) Adreno(TM) X1-85 GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1190
222.7 IPS |
|
|
Image Classification (F16)
|
100% |
1322
247.3 IPS |
|
|
Image Classification (I8)
|
100% |
1042
195.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1504
25.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1591
26.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1343
22.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
8552
10.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
9134
11.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
8264
10.0 IPS |
|
|
Object Detection (F32)
|
100% |
1100
82.1 IPS |
|
|
Object Detection (F16)
|
100% |
1224
91.4 IPS |
|
|
Object Detection (I8)
|
71% |
950
70.9 IPS |
|
|
Face Detection (F32)
|
100% |
2255
26.8 IPS |
|
|
Face Detection (F16)
|
100% |
2472
29.4 IPS |
|
|
Face Detection (I8)
|
93% |
2018
24.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5305
41.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5231
40.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
4504
34.9 IPS |
|
|
Style Transfer (F32)
|
100% |
12605
16.6 IPS |
|
|
Style Transfer (F16)
|
100% |
12490
16.4 IPS |
|
|
Style Transfer (I8)
|
98% |
11680
15.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4822
172.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4652
166.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3356
119.8 IPS |
|
|
Text Classification (F32)
|
100% |
276
396.8 IPS |
|
|
Text Classification (F16)
|
100% |
284
407.9 IPS |
|
|
Text Classification (I8)
|
98% |
233
335.0 IPS |
|
|
Machine Translation (F32)
|
100% |
993
18.3 IPS |
|
|
Machine Translation (F16)
|
100% |
999
18.4 IPS |
|
|
Machine Translation (I8)
|
65% |
652
12.0 IPS |
