Dell Inc. Latitude 5550
Geekbench AI Score
2350
Single Precision Score
7972
Half Precision Score
12700
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | 10dan |
| Upload Date | December 13 2025 05:49 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 5550 |
| Motherboard | Dell Inc. 0MMGXX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1190
221.4 IPS |
|
|
Image Classification (HP)
|
100% |
5728
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
8335
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1832
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2399
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3094
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3167
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
29739
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
63063
73.9 IPS |
|
|
Object Detection (SP)
|
100% |
1295
102.7 IPS |
|
|
Object Detection (HP)
|
100% |
4902
388.8 IPS |
|
|
Object Detection (Q)
|
88% |
8493
680.9 IPS |
|
|
Face Detection (SP)
|
100% |
3580
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
12794
152.0 IPS |
|
|
Face Detection (Q)
|
100% |
26153
310.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3905
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11975
92.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
23617
183.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8317
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36976
47.5 IPS |
|
|
Style Transfer (Q)
|
98% |
70271
90.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1555
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13992
516.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26859
994.7 IPS |
|
|
Text Classification (SP)
|
100% |
1540
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1818
2.43 KIPS |
|
|
Text Classification (Q)
|
92% |
1848
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2068
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3594
61.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3671
63.2 IPS |
