Dell Inc. XPS 13 9345
Geekbench ML Score
2340
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 16 2024 09:03 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% |
1455
272.3 IPS |
|
|
Image Classification (F16)
|
100% |
1503
281.3 IPS |
|
|
Image Classification (I8)
|
100% |
1197
224.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1717
28.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1717
28.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1493
24.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
9705
11.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
9690
11.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
8625
10.4 IPS |
|
|
Object Detection (F32)
|
100% |
1244
92.9 IPS |
|
|
Object Detection (F16)
|
100% |
1234
92.2 IPS |
|
|
Object Detection (I8)
|
71% |
1101
82.2 IPS |
|
|
Face Detection (F32)
|
100% |
2834
33.7 IPS |
|
|
Face Detection (F16)
|
100% |
2850
33.9 IPS |
|
|
Face Detection (I8)
|
93% |
2308
27.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5511
42.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
5427
42.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
4619
35.8 IPS |
|
|
Style Transfer (F32)
|
100% |
12910
17.0 IPS |
|
|
Style Transfer (F16)
|
100% |
13274
17.5 IPS |
|
|
Style Transfer (I8)
|
98% |
11747
15.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4986
178.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5027
179.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3588
128.2 IPS |
|
|
Text Classification (F32)
|
100% |
289
415.8 IPS |
|
|
Text Classification (F16)
|
100% |
293
421.1 IPS |
|
|
Text Classification (I8)
|
98% |
245
352.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1073
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1072
19.7 IPS |
|
|
Machine Translation (I8)
|
65% |
685
12.6 IPS |
