Dell Inc. XPS 13 9345
Geekbench ML Score
1635
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 22 2024 09:18 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. XPS 13 9345 |
| Motherboard | Dell Inc. 0K7WX3 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
512
95.9 IPS |
|
|
Image Classification (F16)
|
100% |
561
105.0 IPS |
|
|
Image Classification (I8)
|
99% |
2570
480.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
600
10.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
565
9.43 IPS |
|
|
Image Segmentation (I8)
|
98% |
1287
21.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
3246
3.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
3402
4.12 IPS |
|
|
Pose Estimation (I8)
|
100% |
15238
18.5 IPS |
|
|
Object Detection (F32)
|
100% |
466
34.8 IPS |
|
|
Object Detection (F16)
|
100% |
425
31.7 IPS |
|
|
Object Detection (I8)
|
65% |
1908
142.4 IPS |
|
|
Face Detection (F32)
|
100% |
847
10.1 IPS |
|
|
Face Detection (F16)
|
100% |
803
9.54 IPS |
|
|
Face Detection (I8)
|
89% |
3351
39.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
1165
9.03 IPS |
|
|
Depth Estimation (F16)
|
100% |
1301
10.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
5606
43.5 IPS |
|
|
Style Transfer (F32)
|
100% |
6846
9.00 IPS |
|
|
Style Transfer (F16)
|
100% |
7614
10.0 IPS |
|
|
Style Transfer (I8)
|
98% |
16461
21.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1236
44.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1251
44.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2624
93.7 IPS |
|
|
Text Classification (F32)
|
100% |
1078
1.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1049
1.51 KIPS |
|
|
Text Classification (I8)
|
98% |
899
1.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
1354
24.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1153
21.2 IPS |
|
|
Machine Translation (I8)
|
67% |
1162
21.4 IPS |
