Dell Inc. Latitude 7440
Geekbench ML Score
2108
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 18 2024 08:40 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Dell Inc. Latitude 7440 |
| Motherboard | Dell Inc. 0XDRJY |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1345U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 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% |
1228
229.7 IPS |
|
|
Image Classification (F16)
|
100% |
1245
233.0 IPS |
|
|
Image Classification (I8)
|
97% |
1707
319.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1031
17.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1005
16.8 IPS |
|
|
Image Segmentation (I8)
|
97% |
1580
26.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
3321
4.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
3297
3.99 IPS |
|
|
Pose Estimation (I8)
|
100% |
5253
6.36 IPS |
|
|
Object Detection (F32)
|
100% |
1279
95.5 IPS |
|
|
Object Detection (F16)
|
100% |
1292
96.4 IPS |
|
|
Object Detection (I8)
|
60% |
1113
83.1 IPS |
|
|
Face Detection (F32)
|
100% |
2287
27.2 IPS |
|
|
Face Detection (F16)
|
100% |
2231
26.5 IPS |
|
|
Face Detection (I8)
|
87% |
2660
31.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3962
30.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
3976
30.8 IPS |
|
|
Depth Estimation (I8)
|
74% |
5327
41.3 IPS |
|
|
Style Transfer (F32)
|
100% |
8595
11.3 IPS |
|
|
Style Transfer (F16)
|
100% |
8544
11.2 IPS |
|
|
Style Transfer (I8)
|
85% |
9592
12.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2028
72.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1928
68.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2271
81.1 IPS |
|
|
Text Classification (F32)
|
100% |
1149
1.65 KIPS |
|
|
Text Classification (F16)
|
100% |
1154
1.66 KIPS |
|
|
Text Classification (I8)
|
94% |
465
668.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1250
23.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1270
23.4 IPS |
|
|
Machine Translation (I8)
|
67% |
1674
30.8 IPS |
