Dell Inc. XPS 13 9345
Geekbench ML Score
2918
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 05 2024 07:24 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% |
642
120.1 IPS |
|
|
Image Classification (F16)
|
100% |
702
131.3 IPS |
|
|
Image Classification (I8)
|
99% |
4007
749.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
814
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
800
13.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2331
38.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6730
8.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
6623
8.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
24822
30.1 IPS |
|
|
Object Detection (F32)
|
100% |
895
66.8 IPS |
|
|
Object Detection (F16)
|
100% |
907
67.7 IPS |
|
|
Object Detection (I8)
|
65% |
3379
252.3 IPS |
|
|
Face Detection (F32)
|
100% |
1906
22.7 IPS |
|
|
Face Detection (F16)
|
100% |
1775
21.1 IPS |
|
|
Face Detection (I8)
|
89% |
5805
69.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2546
19.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2470
19.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
14007
108.6 IPS |
|
|
Style Transfer (F32)
|
100% |
15899
20.9 IPS |
|
|
Style Transfer (F16)
|
100% |
15155
19.9 IPS |
|
|
Style Transfer (I8)
|
98% |
29070
38.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2517
89.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2457
87.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3761
134.3 IPS |
|
|
Text Classification (F32)
|
100% |
1447
2.08 KIPS |
|
|
Text Classification (F16)
|
100% |
1446
2.08 KIPS |
|
|
Text Classification (I8)
|
98% |
1152
1.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
2123
39.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2136
39.3 IPS |
|
|
Machine Translation (I8)
|
67% |
3514
64.7 IPS |
