Dell Inc. Latitude 5450
Geekbench AI Score
5169
Single Precision Score
7909
Half Precision Score
11852
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 03:38 AM |
| Views | 2 |
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 5450 |
| Motherboard | Dell Inc. 0XD41K |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 135U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3558
661.7 IPS |
|
|
Image Classification (HP)
|
100% |
5345
994.1 IPS |
|
|
Image Classification (Q)
|
100% |
6585
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3519
57.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7278
118.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10155
164.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11400
13.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
10273
12.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
32924
38.5 IPS |
|
|
Object Detection (SP)
|
100% |
3068
243.3 IPS |
|
|
Object Detection (HP)
|
100% |
5114
405.7 IPS |
|
|
Object Detection (Q)
|
88% |
7730
619.5 IPS |
|
|
Face Detection (SP)
|
100% |
7117
84.6 IPS |
|
|
Face Detection (HP)
|
100% |
13779
163.7 IPS |
|
|
Face Detection (Q)
|
100% |
21731
258.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11293
87.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
19968
154.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
23688
184.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27717
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38445
49.4 IPS |
|
|
Style Transfer (Q)
|
98% |
80409
103.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4908
181.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8567
316.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13464
498.6 IPS |
|
|
Text Classification (SP)
|
71% |
1638
2.37 KIPS |
|
|
Text Classification (HP)
|
71% |
2251
3.26 KIPS |
|
|
Text Classification (Q)
|
92% |
2330
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1739
29.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2300
39.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2476
42.7 IPS |
