Dell Inc. XPS 13 9345
Geekbench ML Score
2169
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 04 2024 11:28 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 | DirectML |
| Device | Qualcomm(R) Adreno(TM) X1-85 GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1253
234.5 IPS |
|
|
Image Classification (F16)
|
100% |
1201
224.8 IPS |
|
|
Image Classification (I8)
|
100% |
1033
193.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1688
28.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1591
26.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1442
24.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
8751
10.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
8713
10.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
8766
10.6 IPS |
|
|
Object Detection (F32)
|
100% |
1059
79.0 IPS |
|
|
Object Detection (F16)
|
100% |
1231
91.9 IPS |
|
|
Object Detection (I8)
|
71% |
930
69.4 IPS |
|
|
Face Detection (F32)
|
100% |
2396
28.5 IPS |
|
|
Face Detection (F16)
|
100% |
2429
28.9 IPS |
|
|
Face Detection (I8)
|
93% |
2045
24.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5234
40.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
5351
41.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
4536
35.2 IPS |
|
|
Style Transfer (F32)
|
100% |
12418
16.3 IPS |
|
|
Style Transfer (F16)
|
100% |
12761
16.8 IPS |
|
|
Style Transfer (I8)
|
98% |
11620
15.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4750
169.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5073
181.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3535
126.2 IPS |
|
|
Text Classification (F32)
|
100% |
264
379.2 IPS |
|
|
Text Classification (F16)
|
100% |
272
391.3 IPS |
|
|
Text Classification (I8)
|
98% |
237
340.4 IPS |
|
|
Machine Translation (F32)
|
100% |
994
18.3 IPS |
|
|
Machine Translation (F16)
|
100% |
983
18.1 IPS |
|
|
Machine Translation (I8)
|
65% |
642
11.8 IPS |
