Dell Inc. Latitude 7450 - ONNX/CPU - Run 2 Dell Inc. Latitude 7450
Geekbench AI Score
2289
Single Precision Score
889
Half Precision Score
4500
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jef34 |
| Upload Date | January 16 2025 11:22 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 135U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Dell Inc. Latitude 7450 |
| Motherboard | Dell Inc. 04GV5P |
| Power Plan | Utilisation normale |
| 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% |
1820
338.5 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.3 IPS |
|
|
Image Classification (Q)
|
99% |
3895
726.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
918
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
753
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2448
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3831
4.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
1735
2.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
11475
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.0 IPS |
|
|
Object Detection (HP)
|
100% |
391
31.0 IPS |
|
|
Object Detection (Q)
|
86% |
3692
296.7 IPS |
|
|
Face Detection (SP)
|
100% |
4473
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
1088
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
6295
75.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4784
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1224
9.43 IPS |
|
|
Depth Estimation (Q)
|
78% |
9774
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6125
7.87 IPS |
|
|
Style Transfer (HP)
|
100% |
4081
5.25 IPS |
|
|
Style Transfer (Q)
|
98% |
14379
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1725
63.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
855
31.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3356
124.3 IPS |
|
|
Text Classification (SP)
|
100% |
1093
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
645
860.7 IPS |
|
|
Text Classification (Q)
|
97% |
1340
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1376
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
493
8.48 IPS |
|
|
Machine Translation (Q)
|
65% |
2121
42.6 IPS |
