Dell Inc. Latitude 3450
Geekbench ML Score
476
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Puffin |
| Upload Date | February 29 2024 06:50 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 3450 |
| Motherboard | Dell Inc. 0D57HC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-5005U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| L1 Instruction Cache | 32.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 256 KB x 2 |
| L3 Cache | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
269
50.4 IPS |
|
|
Image Classification (F16)
|
100% |
279
52.3 IPS |
|
|
Image Classification (I8)
|
97% |
322
60.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
277
4.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
277
4.63 IPS |
|
|
Image Segmentation (I8)
|
97% |
245
4.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
707
0.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
654
0.79 IPS |
|
|
Pose Estimation (I8)
|
100% |
775
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
259
19.3 IPS |
|
|
Object Detection (F16)
|
100% |
294
21.9 IPS |
|
|
Object Detection (I8)
|
60% |
283
21.2 IPS |
|
|
Face Detection (F32)
|
100% |
577
6.86 IPS |
|
|
Face Detection (F16)
|
100% |
604
7.19 IPS |
|
|
Face Detection (I8)
|
87% |
690
8.20 IPS |
|
|
Depth Estimation (F32)
|
100% |
807
6.26 IPS |
|
|
Depth Estimation (F16)
|
100% |
852
6.60 IPS |
|
|
Depth Estimation (I8)
|
74% |
975
7.56 IPS |
|
|
Style Transfer (F32)
|
100% |
1675
2.20 IPS |
|
|
Style Transfer (F16)
|
100% |
1648
2.17 IPS |
|
|
Style Transfer (I8)
|
85% |
1912
2.51 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
429
15.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
441
15.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
350
12.5 IPS |
|
|
Text Classification (F32)
|
100% |
280
402.2 IPS |
|
|
Text Classification (F16)
|
100% |
294
423.1 IPS |
|
|
Text Classification (I8)
|
94% |
125
179.0 IPS |
|
|
Machine Translation (F32)
|
100% |
492
9.05 IPS |
|
|
Machine Translation (F16)
|
100% |
451
8.30 IPS |
|
|
Machine Translation (I8)
|
67% |
483
8.88 IPS |
