Dell Inc. Latitude 5550
Geekbench AI Score
2244
Single Precision Score
7874
Half Precision Score
12473
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | 10dan |
| Upload Date | December 12 2025 09:02 PM |
| 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% |
1206
224.3 IPS |
|
|
Image Classification (HP)
|
100% |
5696
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
7916
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3083
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3264
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
29749
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
61824
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
1070
84.8 IPS |
|
|
Object Detection (HP)
|
100% |
4784
379.5 IPS |
|
|
Object Detection (Q)
|
88% |
8432
676.0 IPS |
|
|
Face Detection (SP)
|
100% |
3324
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
12592
149.6 IPS |
|
|
Face Detection (Q)
|
100% |
24308
288.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3731
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12345
95.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
24195
188.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8042
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37522
48.2 IPS |
|
|
Style Transfer (Q)
|
98% |
70092
90.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1563
57.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13713
506.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26600
985.1 IPS |
|
|
Text Classification (SP)
|
100% |
1568
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1699
2.27 KIPS |
|
|
Text Classification (Q)
|
92% |
1792
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1755
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3513
60.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3646
62.8 IPS |
