HP HP Spectre Notebook
Geekbench ML Score
520
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 16 2024 07:31 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Linux Mint 22 |
| Model | HP HP Spectre Notebook |
| Motherboard | HP 8255 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7500U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 0 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 | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.52 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
402
75.2 IPS |
|
|
Image Classification (F16)
|
100% |
400
74.8 IPS |
|
|
Image Classification (I8)
|
99% |
228
42.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
483
8.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
481
8.04 IPS |
|
|
Image Segmentation (I8)
|
98% |
262
4.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
659
0.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
621
0.75 IPS |
|
|
Pose Estimation (I8)
|
100% |
498
0.60 IPS |
|
|
Object Detection (F32)
|
100% |
418
31.2 IPS |
|
|
Object Detection (F16)
|
100% |
416
31.1 IPS |
|
|
Object Detection (I8)
|
65% |
260
19.4 IPS |
|
|
Face Detection (F32)
|
100% |
835
9.92 IPS |
|
|
Face Detection (F16)
|
100% |
845
10.0 IPS |
|
|
Face Detection (I8)
|
87% |
509
6.05 IPS |
|
|
Depth Estimation (F32)
|
100% |
737
5.72 IPS |
|
|
Depth Estimation (F16)
|
100% |
726
5.63 IPS |
|
|
Depth Estimation (I8)
|
95% |
603
4.68 IPS |
|
|
Style Transfer (F32)
|
100% |
1019
1.34 IPS |
|
|
Style Transfer (F16)
|
100% |
1011
1.33 IPS |
|
|
Style Transfer (I8)
|
98% |
1075
1.41 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
408
14.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
430
15.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
330
11.8 IPS |
|
|
Text Classification (F32)
|
100% |
536
771.0 IPS |
|
|
Text Classification (F16)
|
100% |
596
856.6 IPS |
|
|
Text Classification (I8)
|
92% |
239
343.6 IPS |
|
|
Machine Translation (F32)
|
100% |
880
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
890
16.4 IPS |
|
|
Machine Translation (I8)
|
62% |
341
6.27 IPS |
