Dell Inc. Latitude 7450
Geekbench AI Score
1840
Single Precision Score
1733
Half Precision Score
4777
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JoaoSchlemm |
| Upload Date | March 18 2025 05:30 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 7450 |
| Motherboard | Dell Inc. 0V31NP |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| 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% |
1389
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
1355
252.1 IPS |
|
|
Image Classification (Q)
|
100% |
4040
751.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1745
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1196
19.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3396
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1456
1.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
1592
1.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
8072
9.46 IPS |
|
|
Object Detection (SP)
|
100% |
1039
82.4 IPS |
|
|
Object Detection (HP)
|
100% |
1028
81.5 IPS |
|
|
Object Detection (Q)
|
88% |
3106
249.0 IPS |
|
|
Face Detection (SP)
|
100% |
3298
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
3204
38.1 IPS |
|
|
Face Detection (Q)
|
100% |
5957
70.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2479
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2227
17.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
6786
52.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5410
6.95 IPS |
|
|
Style Transfer (HP)
|
100% |
5680
7.30 IPS |
|
|
Style Transfer (Q)
|
98% |
25717
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1351
49.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1232
45.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5247
194.3 IPS |
|
|
Text Classification (SP)
|
100% |
1459
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1506
2.01 KIPS |
|
|
Text Classification (Q)
|
92% |
2665
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1399
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1231
21.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1240
21.4 IPS |
