HP HP Laptop 15s-fq5xxx
Geekbench ML Score
1724
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Zafarbek05 |
| Upload Date | October 12 2024 11:28 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | HP HP Laptop 15s-fq5xxx |
| Motherboard | HP 8A20 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
860
161.0 IPS |
|
|
Image Classification (F16)
|
100% |
856
160.1 IPS |
|
|
Image Classification (I8)
|
100% |
676
126.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1282
21.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1336
22.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
940
15.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6117
7.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
6117
7.41 IPS |
|
|
Pose Estimation (I8)
|
100% |
3760
4.55 IPS |
|
|
Object Detection (F32)
|
100% |
957
71.5 IPS |
|
|
Object Detection (F16)
|
100% |
919
68.6 IPS |
|
|
Object Detection (I8)
|
54% |
823
61.4 IPS |
|
|
Face Detection (F32)
|
100% |
1770
21.0 IPS |
|
|
Face Detection (F16)
|
100% |
1763
21.0 IPS |
|
|
Face Detection (I8)
|
89% |
1192
14.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4150
32.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
4169
32.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
3008
23.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16820
22.1 IPS |
|
|
Style Transfer (F16)
|
100% |
17035
22.4 IPS |
|
|
Style Transfer (I8)
|
98% |
10911
14.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2540
90.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2518
89.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1147
41.0 IPS |
|
|
Text Classification (F32)
|
100% |
589
846.8 IPS |
|
|
Text Classification (F16)
|
100% |
617
887.4 IPS |
|
|
Text Classification (I8)
|
98% |
361
519.2 IPS |
|
|
Machine Translation (F32)
|
100% |
802
14.8 IPS |
|
|
Machine Translation (F16)
|
100% |
806
14.8 IPS |
|
|
Machine Translation (I8)
|
70% |
407
7.49 IPS |
