Dell Inc. XPS 13 9345
Geekbench ML Score
2929
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 04 2024 11:09 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. XPS 13 9345 |
| Motherboard | Dell Inc. 0DXPNM |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
692
129.4 IPS |
|
|
Image Classification (F16)
|
100% |
711
133.1 IPS |
|
|
Image Classification (I8)
|
99% |
4022
752.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
815
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
826
13.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2355
39.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6827
8.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
6756
8.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
25400
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
933
69.7 IPS |
|
|
Object Detection (F16)
|
100% |
920
68.7 IPS |
|
|
Object Detection (I8)
|
65% |
3445
257.2 IPS |
|
|
Face Detection (F32)
|
100% |
1972
23.4 IPS |
|
|
Face Detection (F16)
|
100% |
1936
23.0 IPS |
|
|
Face Detection (I8)
|
89% |
6246
74.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2647
20.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2636
20.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
14571
113.0 IPS |
|
|
Style Transfer (F32)
|
100% |
16171
21.3 IPS |
|
|
Style Transfer (F16)
|
100% |
15691
20.6 IPS |
|
|
Style Transfer (I8)
|
98% |
29850
39.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2525
90.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2483
88.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3848
137.4 IPS |
|
|
Text Classification (F32)
|
100% |
1385
1.99 KIPS |
|
|
Text Classification (F16)
|
100% |
1414
2.03 KIPS |
|
|
Text Classification (I8)
|
98% |
1152
1.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
1605
29.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1721
31.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3358
61.8 IPS |
