Dell Inc. XPS 13 9345
Geekbench ML Score
2900
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 04 2024 11:17 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
721
134.9 IPS |
|
|
Image Classification (F16)
|
100% |
719
134.5 IPS |
|
|
Image Classification (I8)
|
99% |
4032
754.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
821
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
821
13.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2325
38.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6740
8.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
6863
8.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
25504
30.9 IPS |
|
|
Object Detection (F32)
|
100% |
925
69.1 IPS |
|
|
Object Detection (F16)
|
100% |
930
69.4 IPS |
|
|
Object Detection (I8)
|
65% |
3427
255.8 IPS |
|
|
Face Detection (F32)
|
100% |
1956
23.3 IPS |
|
|
Face Detection (F16)
|
100% |
1957
23.3 IPS |
|
|
Face Detection (I8)
|
89% |
6404
76.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2641
20.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2645
20.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
14368
111.4 IPS |
|
|
Style Transfer (F32)
|
100% |
16410
21.6 IPS |
|
|
Style Transfer (F16)
|
100% |
16232
21.4 IPS |
|
|
Style Transfer (I8)
|
98% |
29866
39.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2486
88.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2528
90.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3960
141.4 IPS |
|
|
Text Classification (F32)
|
100% |
1391
2.00 KIPS |
|
|
Text Classification (F16)
|
100% |
1405
2.02 KIPS |
|
|
Text Classification (I8)
|
98% |
1142
1.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
1311
24.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1305
24.0 IPS |
|
|
Machine Translation (I8)
|
67% |
3530
65.0 IPS |
