Dell Inc. XPS 13 9350
Geekbench ML Score
3306
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 24 2025 09:58 AM |
| Views | 7 |
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% |
961
179.8 IPS |
|
|
Image Classification (F16)
|
100% |
1718
321.5 IPS |
|
|
Image Classification (I8)
|
99% |
2464
461.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1335
22.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1411
23.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2614
43.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
4925
5.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
4964
6.01 IPS |
|
|
Pose Estimation (I8)
|
100% |
18400
22.3 IPS |
|
|
Object Detection (F32)
|
100% |
1780
132.9 IPS |
|
|
Object Detection (F16)
|
100% |
1818
135.7 IPS |
|
|
Object Detection (I8)
|
62% |
1790
133.6 IPS |
|
|
Face Detection (F32)
|
100% |
3716
44.2 IPS |
|
|
Face Detection (F16)
|
100% |
3883
46.2 IPS |
|
|
Face Detection (I8)
|
89% |
4269
50.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6225
48.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6049
46.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
13182
102.2 IPS |
|
|
Style Transfer (F32)
|
100% |
11456
15.1 IPS |
|
|
Style Transfer (F16)
|
100% |
12052
15.9 IPS |
|
|
Style Transfer (I8)
|
98% |
21694
28.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2764
98.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2761
98.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4762
170.1 IPS |
|
|
Text Classification (F32)
|
100% |
1318
1.89 KIPS |
|
|
Text Classification (F16)
|
100% |
1337
1.92 KIPS |
|
|
Text Classification (I8)
|
98% |
1172
1.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
1952
35.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1958
36.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2783
51.2 IPS |
