Dell Inc. Inspiron 14 5410
Geekbench ML Score
404
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 15 2024 05:54 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Dell Inc. Inspiron 14 5410 |
| Motherboard | Dell Inc. 01TXH0 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11390H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 2 |
| Base Frequency | 5.00 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 15.37 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
301
56.3 IPS |
|
|
Image Classification (F16)
|
100% |
296
55.5 IPS |
|
|
Image Classification (I8)
|
99% |
177
33.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
383
6.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
405
6.76 IPS |
|
|
Image Segmentation (I8)
|
98% |
188
3.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
687
0.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
584
0.71 IPS |
|
|
Pose Estimation (I8)
|
100% |
495
0.60 IPS |
|
|
Object Detection (F32)
|
100% |
299
22.4 IPS |
|
|
Object Detection (F16)
|
100% |
280
20.9 IPS |
|
|
Object Detection (I8)
|
65% |
230
17.2 IPS |
|
|
Face Detection (F32)
|
100% |
736
8.75 IPS |
|
|
Face Detection (F16)
|
100% |
777
9.24 IPS |
|
|
Face Detection (I8)
|
87% |
465
5.53 IPS |
|
|
Depth Estimation (F32)
|
100% |
598
4.64 IPS |
|
|
Depth Estimation (F16)
|
100% |
597
4.63 IPS |
|
|
Depth Estimation (I8)
|
95% |
415
3.22 IPS |
|
|
Style Transfer (F32)
|
100% |
1075
1.41 IPS |
|
|
Style Transfer (F16)
|
100% |
910
1.20 IPS |
|
|
Style Transfer (I8)
|
98% |
1106
1.46 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
309
11.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
338
12.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
280
10.0 IPS |
|
|
Text Classification (F32)
|
100% |
310
445.7 IPS |
|
|
Text Classification (F16)
|
100% |
325
466.4 IPS |
|
|
Text Classification (I8)
|
92% |
144
207.0 IPS |
|
|
Machine Translation (F32)
|
100% |
565
10.4 IPS |
|
|
Machine Translation (F16)
|
100% |
467
8.59 IPS |
|
|
Machine Translation (I8)
|
62% |
195
3.60 IPS |
