Dell Inc. Latitude 5450
Geekbench ML Score
2417
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 02:44 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 5450 |
| Motherboard | Dell Inc. 04MMMW |
| 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 |
| L1 Instruction Cache | 64.0 KB x 7 |
| L1 Data Cache | 48.0 KB x 7 |
| L2 Cache | 2.00 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1073
200.7 IPS |
|
|
Image Classification (F16)
|
100% |
1058
198.0 IPS |
|
|
Image Classification (I8)
|
99% |
2263
423.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
920
15.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
874
14.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2216
37.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
3275
3.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
3376
4.09 IPS |
|
|
Pose Estimation (I8)
|
100% |
14904
18.0 IPS |
|
|
Object Detection (F32)
|
100% |
1239
92.5 IPS |
|
|
Object Detection (F16)
|
100% |
1208
90.2 IPS |
|
|
Object Detection (I8)
|
62% |
1398
104.3 IPS |
|
|
Face Detection (F32)
|
100% |
2590
30.8 IPS |
|
|
Face Detection (F16)
|
100% |
2582
30.7 IPS |
|
|
Face Detection (I8)
|
89% |
3541
42.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4399
34.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
4095
31.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
9805
76.0 IPS |
|
|
Style Transfer (F32)
|
100% |
9481
12.5 IPS |
|
|
Style Transfer (F16)
|
100% |
9198
12.1 IPS |
|
|
Style Transfer (I8)
|
98% |
15495
20.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1887
67.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2002
71.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3776
134.8 IPS |
|
|
Text Classification (F32)
|
100% |
976
1.40 KIPS |
|
|
Text Classification (F16)
|
100% |
1031
1.48 KIPS |
|
|
Text Classification (I8)
|
98% |
471
677.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1476
27.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1462
26.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2424
44.6 IPS |
