Dell Inc. Latitude 7450
Geekbench AI Score
2746
Single Precision Score
2762
Half Precision Score
6297
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | byuen1 |
| Upload Date | January 30 2025 12:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 7450 |
| Motherboard | Dell Inc. 0XR3XW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1436
267.1 IPS |
|
|
Image Classification (HP)
|
100% |
1436
267.1 IPS |
|
|
Image Classification (Q)
|
100% |
4028
749.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2188
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2253
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4010
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4144
4.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
4137
4.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
14809
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1346
106.7 IPS |
|
|
Object Detection (HP)
|
100% |
1343
106.5 IPS |
|
|
Object Detection (Q)
|
88% |
3284
263.3 IPS |
|
|
Face Detection (SP)
|
100% |
4371
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
4540
53.9 IPS |
|
|
Face Detection (Q)
|
100% |
8391
99.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4356
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4339
33.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
10630
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11951
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12148
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
41067
53.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2202
81.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2193
81.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6674
247.2 IPS |
|
|
Text Classification (SP)
|
100% |
1642
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1672
2.23 KIPS |
|
|
Text Classification (Q)
|
92% |
3083
4.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1692
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1642
28.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1657
28.5 IPS |
