Dell Inc. Latitude 5550
Geekbench AI Score
4300
Single Precision Score
7217
Half Precision Score
11481
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | 10dan |
| Upload Date | December 12 2025 09:53 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3061
569.2 IPS |
|
|
Image Classification (HP)
|
100% |
5139
955.6 IPS |
|
|
Image Classification (Q)
|
100% |
6904
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2239
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5872
95.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9335
151.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11505
13.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
10998
12.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
36964
43.3 IPS |
|
|
Object Detection (SP)
|
100% |
2798
221.9 IPS |
|
|
Object Detection (HP)
|
100% |
4754
377.1 IPS |
|
|
Object Detection (Q)
|
88% |
8359
669.9 IPS |
|
|
Face Detection (SP)
|
100% |
4373
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
9191
109.2 IPS |
|
|
Face Detection (Q)
|
100% |
16910
200.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10483
80.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
18670
144.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
24209
188.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26391
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38707
49.8 IPS |
|
|
Style Transfer (Q)
|
98% |
83917
108.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4537
167.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8329
307.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13336
493.9 IPS |
|
|
Text Classification (SP)
|
71% |
1355
1.96 KIPS |
|
|
Text Classification (HP)
|
71% |
1915
2.77 KIPS |
|
|
Text Classification (Q)
|
92% |
1958
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2294
39.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2229
38.5 IPS |
