Dell Inc. XPS 13 9345
Geekbench ML Score
3000
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 04 2024 11:00 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 | 3.42 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% |
724
135.4 IPS |
|
|
Image Classification (F16)
|
100% |
721
134.9 IPS |
|
|
Image Classification (I8)
|
99% |
3973
743.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
832
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
831
13.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2354
39.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6674
8.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
6092
7.38 IPS |
|
|
Pose Estimation (I8)
|
100% |
25536
30.9 IPS |
|
|
Object Detection (F32)
|
100% |
910
68.0 IPS |
|
|
Object Detection (F16)
|
100% |
915
68.3 IPS |
|
|
Object Detection (I8)
|
65% |
3490
260.5 IPS |
|
|
Face Detection (F32)
|
100% |
1918
22.8 IPS |
|
|
Face Detection (F16)
|
100% |
1916
22.8 IPS |
|
|
Face Detection (I8)
|
89% |
6177
73.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2681
20.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2646
20.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
14410
111.8 IPS |
|
|
Style Transfer (F32)
|
100% |
16536
21.8 IPS |
|
|
Style Transfer (F16)
|
100% |
16726
22.0 IPS |
|
|
Style Transfer (I8)
|
98% |
29378
38.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2522
90.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2523
90.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3961
141.5 IPS |
|
|
Text Classification (F32)
|
100% |
1441
2.07 KIPS |
|
|
Text Classification (F16)
|
100% |
1452
2.09 KIPS |
|
|
Text Classification (I8)
|
98% |
1149
1.65 KIPS |
|
|
Machine Translation (F32)
|
100% |
2198
40.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2216
40.8 IPS |
|
|
Machine Translation (I8)
|
67% |
3660
67.4 IPS |
