Dell Inc. Latitude 7455
Geekbench ML Score
2916
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | July 15 2024 01:11 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
708
132.4 IPS |
|
|
Image Classification (F16)
|
100% |
707
132.3 IPS |
|
|
Image Classification (I8)
|
99% |
3949
739.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
795
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
787
13.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2202
36.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6191
7.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
6382
7.73 IPS |
|
|
Pose Estimation (I8)
|
100% |
25567
31.0 IPS |
|
|
Object Detection (F32)
|
100% |
923
68.9 IPS |
|
|
Object Detection (F16)
|
100% |
895
66.8 IPS |
|
|
Object Detection (I8)
|
65% |
3396
253.6 IPS |
|
|
Face Detection (F32)
|
100% |
1824
21.7 IPS |
|
|
Face Detection (F16)
|
100% |
1787
21.2 IPS |
|
|
Face Detection (I8)
|
89% |
5850
69.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2531
19.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2506
19.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
14572
113.0 IPS |
|
|
Style Transfer (F32)
|
100% |
15615
20.5 IPS |
|
|
Style Transfer (F16)
|
100% |
16213
21.3 IPS |
|
|
Style Transfer (I8)
|
98% |
28492
37.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2513
89.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2422
86.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3998
142.8 IPS |
|
|
Text Classification (F32)
|
100% |
1470
2.11 KIPS |
|
|
Text Classification (F16)
|
100% |
1473
2.12 KIPS |
|
|
Text Classification (I8)
|
98% |
1154
1.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
2081
38.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2108
38.8 IPS |
|
|
Machine Translation (I8)
|
67% |
3386
62.3 IPS |
