HP HP Laptop 15s-fq2xxx
Geekbench ML Score
1657
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 06:45 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP Laptop 15s-fq2xxx |
| Motherboard | HP 87FE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 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 | 8.00 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% |
796
148.9 IPS |
|
|
Image Classification (F16)
|
100% |
791
147.9 IPS |
|
|
Image Classification (I8)
|
99% |
1897
355.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
734
12.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
635
10.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1329
22.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
2416
2.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
2791
3.38 IPS |
|
|
Pose Estimation (I8)
|
100% |
8683
10.5 IPS |
|
|
Object Detection (F32)
|
100% |
893
66.7 IPS |
|
|
Object Detection (F16)
|
100% |
943
70.4 IPS |
|
|
Object Detection (I8)
|
62% |
923
68.9 IPS |
|
|
Face Detection (F32)
|
100% |
1237
14.7 IPS |
|
|
Face Detection (F16)
|
100% |
1282
15.2 IPS |
|
|
Face Detection (I8)
|
89% |
2369
28.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2816
21.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
1930
15.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
8022
62.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4187
5.51 IPS |
|
|
Style Transfer (F16)
|
100% |
6008
7.90 IPS |
|
|
Style Transfer (I8)
|
98% |
9152
12.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1423
50.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1444
51.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2133
76.2 IPS |
|
|
Text Classification (F32)
|
100% |
803
1.15 KIPS |
|
|
Text Classification (F16)
|
100% |
1135
1.63 KIPS |
|
|
Text Classification (I8)
|
98% |
318
457.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1273
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1232
22.7 IPS |
|
|
Machine Translation (I8)
|
67% |
1525
28.1 IPS |
