Dell Inc. XPS 13 9345
Geekbench ML Score
2530
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | December 10 2024 12:34 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Dell Inc. XPS 13 9345 |
| Motherboard | Dell Inc. |
| Power Plan | Balanced |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Qualcomm(R) Adreno(TM) X1-85 GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1592
297.9 IPS |
|
|
Image Classification (F16)
|
100% |
1538
287.8 IPS |
|
|
Image Classification (I8)
|
100% |
1260
235.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1841
30.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1913
31.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1634
27.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
12278
14.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
12773
15.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
10522
12.7 IPS |
|
|
Object Detection (F32)
|
100% |
1250
93.3 IPS |
|
|
Object Detection (F16)
|
100% |
1343
100.3 IPS |
|
|
Object Detection (I8)
|
71% |
1021
76.2 IPS |
|
|
Face Detection (F32)
|
100% |
3256
38.7 IPS |
|
|
Face Detection (F16)
|
100% |
3243
38.6 IPS |
|
|
Face Detection (I8)
|
93% |
2609
31.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
7024
54.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
7055
54.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
5676
44.0 IPS |
|
|
Style Transfer (F32)
|
100% |
13558
17.8 IPS |
|
|
Style Transfer (F16)
|
100% |
13357
17.6 IPS |
|
|
Style Transfer (I8)
|
98% |
12400
16.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5397
192.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5399
192.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3729
133.2 IPS |
|
|
Text Classification (F32)
|
100% |
296
425.6 IPS |
|
|
Text Classification (F16)
|
100% |
294
422.7 IPS |
|
|
Text Classification (I8)
|
98% |
246
353.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1001
18.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1012
18.6 IPS |
|
|
Machine Translation (I8)
|
48% |
606
11.2 IPS |
