Dell Inc. XPS 13 9345
Geekbench ML Score
2334
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 31 2024 07:31 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 | DirectML |
| Device | Qualcomm(R) Adreno(TM) X1-85 GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1391
260.2 IPS |
|
|
Image Classification (F16)
|
100% |
1441
269.7 IPS |
|
|
Image Classification (I8)
|
100% |
1189
222.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1682
28.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1712
28.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1480
24.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
9720
11.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
9703
11.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
8685
10.5 IPS |
|
|
Object Detection (F32)
|
100% |
1240
92.6 IPS |
|
|
Object Detection (F16)
|
100% |
1245
93.0 IPS |
|
|
Object Detection (I8)
|
71% |
1057
78.9 IPS |
|
|
Face Detection (F32)
|
100% |
2890
34.4 IPS |
|
|
Face Detection (F16)
|
100% |
2863
34.0 IPS |
|
|
Face Detection (I8)
|
93% |
2324
27.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5475
42.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
5526
42.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
4599
35.7 IPS |
|
|
Style Transfer (F32)
|
100% |
13269
17.5 IPS |
|
|
Style Transfer (F16)
|
100% |
13107
17.2 IPS |
|
|
Style Transfer (I8)
|
98% |
11890
15.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5003
178.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5001
178.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3563
127.2 IPS |
|
|
Text Classification (F32)
|
100% |
290
417.4 IPS |
|
|
Text Classification (F16)
|
100% |
290
417.1 IPS |
|
|
Text Classification (I8)
|
98% |
248
357.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1078
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1071
19.7 IPS |
|
|
Machine Translation (I8)
|
65% |
689
12.7 IPS |
