Dell Inc. XPS 13 9350
Geekbench ML Score
3316
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 20 2025 06:52 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 13 9350 |
| Motherboard | Dell Inc. 0XPT8R |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 2.50 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1624
304.0 IPS |
|
|
Image Classification (F16)
|
100% |
1727
323.1 IPS |
|
|
Image Classification (I8)
|
99% |
2912
544.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1423
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1459
24.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2306
38.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
4692
5.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
4016
4.86 IPS |
|
|
Pose Estimation (I8)
|
100% |
18231
22.1 IPS |
|
|
Object Detection (F32)
|
100% |
1806
134.8 IPS |
|
|
Object Detection (F16)
|
100% |
1799
134.3 IPS |
|
|
Object Detection (I8)
|
62% |
1734
129.5 IPS |
|
|
Face Detection (F32)
|
100% |
3519
41.8 IPS |
|
|
Face Detection (F16)
|
100% |
3691
43.9 IPS |
|
|
Face Detection (I8)
|
89% |
4430
52.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6087
47.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5999
46.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
13056
101.2 IPS |
|
|
Style Transfer (F32)
|
100% |
11232
14.8 IPS |
|
|
Style Transfer (F16)
|
100% |
11836
15.6 IPS |
|
|
Style Transfer (I8)
|
98% |
21455
28.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2732
97.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2746
98.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4296
153.4 IPS |
|
|
Text Classification (F32)
|
100% |
1299
1.87 KIPS |
|
|
Text Classification (F16)
|
100% |
1350
1.94 KIPS |
|
|
Text Classification (I8)
|
98% |
1179
1.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
1893
34.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2020
37.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2764
50.9 IPS |
