Dell Inc. Latitude 7450
Geekbench ML Score
2438
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 12 2024 05:17 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 7450 |
| Motherboard | Dell Inc. 00329X |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1043
195.1 IPS |
|
|
Image Classification (F16)
|
100% |
1024
191.6 IPS |
|
|
Image Classification (I8)
|
99% |
2276
425.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
913
15.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
880
14.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2635
44.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
3240
3.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
3352
4.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
13759
16.7 IPS |
|
|
Object Detection (F32)
|
100% |
1141
85.1 IPS |
|
|
Object Detection (F16)
|
100% |
1132
84.5 IPS |
|
|
Object Detection (I8)
|
62% |
1252
93.4 IPS |
|
|
Face Detection (F32)
|
100% |
2647
31.5 IPS |
|
|
Face Detection (F16)
|
100% |
2681
31.9 IPS |
|
|
Face Detection (I8)
|
89% |
3422
40.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3889
30.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3857
29.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
9455
73.3 IPS |
|
|
Style Transfer (F32)
|
100% |
9154
12.0 IPS |
|
|
Style Transfer (F16)
|
100% |
8858
11.7 IPS |
|
|
Style Transfer (I8)
|
98% |
15489
20.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1973
70.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1819
64.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3732
133.3 IPS |
|
|
Text Classification (F32)
|
100% |
1010
1.45 KIPS |
|
|
Text Classification (F16)
|
100% |
1025
1.47 KIPS |
|
|
Text Classification (I8)
|
98% |
1016
1.46 KIPS |
|
|
Machine Translation (F32)
|
100% |
1503
27.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1455
26.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2479
45.6 IPS |
