Dell Inc. XPS 13 9345
Geekbench ML Score
2186
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 23 2024 04:50 PM |
| Views | 1 |
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% |
556
104.1 IPS |
|
|
Image Classification (F16)
|
100% |
526
98.4 IPS |
|
|
Image Classification (I8)
|
99% |
2700
505.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
678
11.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
704
11.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1829
30.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
4513
5.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
5354
6.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
16363
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
688
51.3 IPS |
|
|
Object Detection (F16)
|
100% |
745
55.6 IPS |
|
|
Object Detection (I8)
|
65% |
2713
202.6 IPS |
|
|
Face Detection (F32)
|
100% |
1461
17.4 IPS |
|
|
Face Detection (F16)
|
100% |
1295
15.4 IPS |
|
|
Face Detection (I8)
|
89% |
3192
38.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1510
11.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
1478
11.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
9546
74.0 IPS |
|
|
Style Transfer (F32)
|
100% |
9672
12.7 IPS |
|
|
Style Transfer (F16)
|
100% |
11787
15.5 IPS |
|
|
Style Transfer (I8)
|
98% |
26671
35.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2079
74.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2360
84.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3045
108.8 IPS |
|
|
Text Classification (F32)
|
100% |
1283
1.84 KIPS |
|
|
Text Classification (F16)
|
100% |
1385
1.99 KIPS |
|
|
Text Classification (I8)
|
98% |
1027
1.48 KIPS |
|
|
Machine Translation (F32)
|
100% |
1286
23.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1580
29.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1889
34.8 IPS |
