Dell Inc. Latitude 7455
Geekbench ML Score
2964
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 01 2024 03:37 PM |
| Views | 4 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
721
134.9 IPS |
|
|
Image Classification (F16)
|
100% |
719
134.6 IPS |
|
|
Image Classification (I8)
|
99% |
4069
761.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
824
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
829
13.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2345
39.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6465
7.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
6368
7.71 IPS |
|
|
Pose Estimation (I8)
|
100% |
25617
31.0 IPS |
|
|
Object Detection (F32)
|
100% |
920
68.6 IPS |
|
|
Object Detection (F16)
|
100% |
910
67.9 IPS |
|
|
Object Detection (I8)
|
65% |
3444
257.1 IPS |
|
|
Face Detection (F32)
|
100% |
1895
22.5 IPS |
|
|
Face Detection (F16)
|
100% |
1922
22.9 IPS |
|
|
Face Detection (I8)
|
89% |
5475
65.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2667
20.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2674
20.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
14229
110.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16853
22.2 IPS |
|
|
Style Transfer (F16)
|
100% |
16439
21.6 IPS |
|
|
Style Transfer (I8)
|
98% |
27871
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2485
88.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2506
89.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3929
140.3 IPS |
|
|
Text Classification (F32)
|
100% |
1444
2.08 KIPS |
|
|
Text Classification (F16)
|
100% |
1453
2.09 KIPS |
|
|
Text Classification (I8)
|
98% |
1165
1.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
2148
39.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2167
39.9 IPS |
|
|
Machine Translation (I8)
|
67% |
3221
59.3 IPS |
