Dell Inc. XPS 13 9345
Geekbench ML Score
2198
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 05 2024 09:12 AM |
| Views | 3 |
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% |
1240
231.9 IPS |
|
|
Image Classification (F16)
|
100% |
1252
234.3 IPS |
|
|
Image Classification (I8)
|
100% |
1018
190.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1637
27.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1629
27.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1439
24.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
8800
10.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
8754
10.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
7898
9.56 IPS |
|
|
Object Detection (F32)
|
100% |
1193
89.1 IPS |
|
|
Object Detection (F16)
|
100% |
1206
90.1 IPS |
|
|
Object Detection (I8)
|
71% |
952
71.0 IPS |
|
|
Face Detection (F32)
|
100% |
2417
28.7 IPS |
|
|
Face Detection (F16)
|
100% |
2740
32.6 IPS |
|
|
Face Detection (I8)
|
93% |
2042
24.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5321
41.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5241
40.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
4580
35.5 IPS |
|
|
Style Transfer (F32)
|
100% |
12613
16.6 IPS |
|
|
Style Transfer (F16)
|
100% |
12756
16.8 IPS |
|
|
Style Transfer (I8)
|
98% |
11601
15.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5092
181.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4989
178.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3551
126.8 IPS |
|
|
Text Classification (F32)
|
100% |
275
395.9 IPS |
|
|
Text Classification (F16)
|
100% |
271
389.1 IPS |
|
|
Text Classification (I8)
|
98% |
244
351.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1015
18.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1044
19.2 IPS |
|
|
Machine Translation (I8)
|
65% |
649
11.9 IPS |
