Dell Inc. Latitude 7455
Geekbench ML Score
2398
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 15 2024 05:35 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Latitude 7455 |
| Motherboard | Dell Inc. 0NG0W1 |
| Power Plan | Customized Peak (ConfigMgr) |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Plus - X1P64100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 6 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% |
650
121.7 IPS |
|
|
Image Classification (F16)
|
100% |
648
121.3 IPS |
|
|
Image Classification (I8)
|
99% |
2758
516.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
664
11.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
669
11.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1777
29.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5475
6.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
5139
6.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
20927
25.3 IPS |
|
|
Object Detection (F32)
|
100% |
862
64.4 IPS |
|
|
Object Detection (F16)
|
100% |
845
63.1 IPS |
|
|
Object Detection (I8)
|
65% |
2669
199.3 IPS |
|
|
Face Detection (F32)
|
100% |
1748
20.8 IPS |
|
|
Face Detection (F16)
|
100% |
1765
21.0 IPS |
|
|
Face Detection (I8)
|
89% |
4192
49.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2326
18.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2303
17.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
11375
88.2 IPS |
|
|
Style Transfer (F32)
|
100% |
12823
16.9 IPS |
|
|
Style Transfer (F16)
|
100% |
12422
16.3 IPS |
|
|
Style Transfer (I8)
|
98% |
23872
31.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2127
76.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2076
74.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3149
112.5 IPS |
|
|
Text Classification (F32)
|
100% |
1320
1.90 KIPS |
|
|
Text Classification (F16)
|
100% |
1264
1.82 KIPS |
|
|
Text Classification (I8)
|
98% |
720
1.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
1681
30.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1499
27.6 IPS |
|
|
Machine Translation (I8)
|
67% |
1880
34.6 IPS |
