HP HP Pavilion Plus Laptop 14t-ew100
Geekbench ML Score
1865
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 24 2024 09:53 PM |
| Views | 56 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion Plus Laptop 14t-ew100 |
| Motherboard | HP 8C31 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 9 |
| L1 Data Cache | 48.0 KB x 9 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 18.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1142
213.7 IPS |
|
|
Image Classification (F16)
|
100% |
866
162.1 IPS |
|
|
Image Classification (I8)
|
99% |
1555
291.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
714
11.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
748
12.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1432
23.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
3767
4.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
3749
4.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
13438
16.3 IPS |
|
|
Object Detection (F32)
|
100% |
975
72.8 IPS |
|
|
Object Detection (F16)
|
100% |
952
71.1 IPS |
|
|
Object Detection (I8)
|
62% |
1006
75.1 IPS |
|
|
Face Detection (F32)
|
100% |
2171
25.8 IPS |
|
|
Face Detection (F16)
|
100% |
2216
26.3 IPS |
|
|
Face Detection (I8)
|
89% |
2141
25.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3483
27.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
3793
29.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
7302
56.6 IPS |
|
|
Style Transfer (F32)
|
100% |
8394
11.0 IPS |
|
|
Style Transfer (F16)
|
100% |
8559
11.3 IPS |
|
|
Style Transfer (I8)
|
98% |
11072
14.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1610
57.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1481
52.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2646
94.5 IPS |
|
|
Text Classification (F32)
|
100% |
709
1.02 KIPS |
|
|
Text Classification (F16)
|
100% |
693
996.0 IPS |
|
|
Text Classification (I8)
|
98% |
256
368.2 IPS |
|
|
Machine Translation (F32)
|
100% |
843
15.5 IPS |
|
|
Machine Translation (F16)
|
100% |
833
15.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1445
26.6 IPS |
