Dell Inc. XPS 13 9345
Geekbench ML Score
2970
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 16 2024 09:00 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% |
711
133.1 IPS |
|
|
Image Classification (F16)
|
100% |
720
134.7 IPS |
|
|
Image Classification (I8)
|
99% |
4001
748.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
818
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
826
13.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2367
39.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6740
8.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
6666
8.07 IPS |
|
|
Pose Estimation (I8)
|
100% |
25416
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
932
69.6 IPS |
|
|
Object Detection (F16)
|
100% |
931
69.5 IPS |
|
|
Object Detection (I8)
|
65% |
3421
255.4 IPS |
|
|
Face Detection (F32)
|
100% |
1943
23.1 IPS |
|
|
Face Detection (F16)
|
100% |
1915
22.8 IPS |
|
|
Face Detection (I8)
|
89% |
6048
71.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2609
20.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2496
19.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
13988
108.5 IPS |
|
|
Style Transfer (F32)
|
100% |
15257
20.1 IPS |
|
|
Style Transfer (F16)
|
100% |
16155
21.3 IPS |
|
|
Style Transfer (I8)
|
98% |
27570
36.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2509
89.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2556
91.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3907
139.5 IPS |
|
|
Text Classification (F32)
|
100% |
1457
2.09 KIPS |
|
|
Text Classification (F16)
|
100% |
1484
2.13 KIPS |
|
|
Text Classification (I8)
|
98% |
1139
1.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
2147
39.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2126
39.1 IPS |
|
|
Machine Translation (I8)
|
67% |
3502
64.4 IPS |
