HP HP Spectre Notebook
Geekbench ML Score
516
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 16 2024 07:15 PM |
| Views | 1 |
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% |
399
74.8 IPS |
|
|
Image Classification (I8)
|
99% |
228
42.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
483
8.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
484
8.08 IPS |
|
|
Image Segmentation (I8)
|
98% |
259
4.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
625
0.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
628
0.76 IPS |
|
|
Pose Estimation (I8)
|
100% |
473
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
417
31.1 IPS |
|
|
Object Detection (F16)
|
100% |
411
30.7 IPS |
|
|
Object Detection (I8)
|
65% |
257
19.2 IPS |
|
|
Face Detection (F32)
|
100% |
835
9.93 IPS |
|
|
Face Detection (F16)
|
100% |
767
9.12 IPS |
|
|
Face Detection (I8)
|
87% |
477
5.67 IPS |
|
|
Depth Estimation (F32)
|
100% |
704
5.46 IPS |
|
|
Depth Estimation (F16)
|
100% |
668
5.18 IPS |
|
|
Depth Estimation (I8)
|
95% |
594
4.61 IPS |
|
|
Style Transfer (F32)
|
100% |
977
1.29 IPS |
|
|
Style Transfer (F16)
|
100% |
1008
1.33 IPS |
|
|
Style Transfer (I8)
|
98% |
1031
1.36 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
427
15.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
431
15.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
344
12.3 IPS |
|
|
Text Classification (F32)
|
100% |
549
789.3 IPS |
|
|
Text Classification (F16)
|
100% |
608
873.3 IPS |
|
|
Text Classification (I8)
|
92% |
249
357.9 IPS |
|
|
Machine Translation (F32)
|
100% |
920
16.9 IPS |
|
|
Machine Translation (F16)
|
100% |
914
16.8 IPS |
|
|
Machine Translation (I8)
|
62% |
347
6.39 IPS |
