Dell Inc. XPS 14 9440
Geekbench AI Score
2389
Single Precision Score
6862
Half Precision Score
9897
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 17 2025 05:51 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Version dvaluation de Windows 11 Entreprise (64-bit) |
| Model | Dell Inc. XPS 14 9440 |
| Motherboard | Dell Inc. 0KFX17 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1257
233.8 IPS |
|
|
Image Classification (HP)
|
100% |
3990
742.1 IPS |
|
|
Image Classification (Q)
|
100% |
5318
989.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1842
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2153
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2825
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3574
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
28223
32.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
58153
68.1 IPS |
|
|
Object Detection (SP)
|
100% |
1121
88.9 IPS |
|
|
Object Detection (HP)
|
100% |
4319
342.6 IPS |
|
|
Object Detection (Q)
|
87% |
6272
503.4 IPS |
|
|
Face Detection (SP)
|
100% |
4084
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
11176
132.8 IPS |
|
|
Face Detection (Q)
|
100% |
17489
207.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3814
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15585
120.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
28023
218.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12114
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
41802
53.7 IPS |
|
|
Style Transfer (Q)
|
98% |
77200
99.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1533
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10056
371.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17720
656.3 IPS |
|
|
Text Classification (SP)
|
100% |
1364
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1337
1.78 KIPS |
|
|
Text Classification (Q)
|
92% |
1104
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1660
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2260
38.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2224
38.3 IPS |
