Dell Inc. XPS 13 9345
Geekbench ML Score
2918
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 31 2024 07:28 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. XPS 13 9345 |
| Motherboard | Dell Inc. 0WMNVV |
| 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 | 4.01 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% |
709
132.6 IPS |
|
|
Image Classification (F16)
|
100% |
718
134.3 IPS |
|
|
Image Classification (I8)
|
99% |
3881
726.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
702
11.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
707
11.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2353
39.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6362
7.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
6460
7.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
24717
29.9 IPS |
|
|
Object Detection (F32)
|
100% |
914
68.2 IPS |
|
|
Object Detection (F16)
|
100% |
911
68.0 IPS |
|
|
Object Detection (I8)
|
65% |
3482
260.0 IPS |
|
|
Face Detection (F32)
|
100% |
1922
22.9 IPS |
|
|
Face Detection (F16)
|
100% |
1916
22.8 IPS |
|
|
Face Detection (I8)
|
89% |
6194
73.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2575
20.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2580
20.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
14168
109.9 IPS |
|
|
Style Transfer (F32)
|
100% |
15697
20.6 IPS |
|
|
Style Transfer (F16)
|
100% |
15754
20.7 IPS |
|
|
Style Transfer (I8)
|
98% |
28841
37.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2553
91.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2534
90.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3919
140.0 IPS |
|
|
Text Classification (F32)
|
100% |
1406
2.02 KIPS |
|
|
Text Classification (F16)
|
100% |
1406
2.02 KIPS |
|
|
Text Classification (I8)
|
98% |
1165
1.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
2155
39.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2070
38.1 IPS |
|
|
Machine Translation (I8)
|
67% |
3312
60.9 IPS |
