Dell Inc. XPS 14 9440
Geekbench AI Score
2386
Single Precision Score
2350
Half Precision Score
4891
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 17 2025 05:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| 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% |
1051
195.4 IPS |
|
|
Image Classification (HP)
|
100% |
992
184.5 IPS |
|
|
Image Classification (Q)
|
100% |
2092
389.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1733
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1782
28.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2731
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4085
4.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
4098
4.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
13771
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1139
90.3 IPS |
|
|
Object Detection (HP)
|
100% |
1221
96.8 IPS |
|
|
Object Detection (Q)
|
88% |
2584
207.2 IPS |
|
|
Face Detection (SP)
|
100% |
3899
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
3567
42.4 IPS |
|
|
Face Detection (Q)
|
100% |
6411
76.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3671
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3542
27.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
9092
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12067
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11760
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
35642
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1918
70.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1842
68.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5241
194.1 IPS |
|
|
Text Classification (SP)
|
100% |
1350
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1415
1.89 KIPS |
|
|
Text Classification (Q)
|
92% |
2254
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1582
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1503
25.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1571
27.1 IPS |
