HP HP 250 15.6 inch G9 Notebook PC
Geekbench ML Score
226
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| User | saiht |
| Upload Date | August 11 2024 06:18 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP 250 15.6 inch G9 Notebook PC |
| Motherboard | HP 8A1E |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Celeron N4500 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 156 Stepping 0 |
| Base Frequency | 1.11 GHz |
| Cluster 1 | 2 Cores |
| L1 Instruction Cache | 32.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 1.50 MB x 1 |
| L3 Cache | 4.00 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% |
106
19.9 IPS |
|
|
Image Classification (F16)
|
100% |
111
20.7 IPS |
|
|
Image Classification (I8)
|
96% |
189
35.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
126
2.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
119
1.99 IPS |
|
|
Image Segmentation (I8)
|
97% |
195
3.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
217
0.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
204
0.25 IPS |
|
|
Pose Estimation (I8)
|
100% |
439
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
117
8.76 IPS |
|
|
Object Detection (F16)
|
100% |
123
9.17 IPS |
|
|
Object Detection (I8)
|
62% |
151
11.2 IPS |
|
|
Face Detection (F32)
|
100% |
329
3.92 IPS |
|
|
Face Detection (F16)
|
100% |
329
3.92 IPS |
|
|
Face Detection (I8)
|
87% |
444
5.28 IPS |
|
|
Depth Estimation (F32)
|
100% |
303
2.35 IPS |
|
|
Depth Estimation (F16)
|
100% |
300
2.33 IPS |
|
|
Depth Estimation (I8)
|
74% |
548
4.25 IPS |
|
|
Style Transfer (F32)
|
100% |
607
0.80 IPS |
|
|
Style Transfer (F16)
|
100% |
596
0.78 IPS |
|
|
Style Transfer (I8)
|
85% |
982
1.29 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
142
5.06 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
140
5.01 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
282
10.1 IPS |
|
|
Text Classification (F32)
|
100% |
131
188.9 IPS |
|
|
Text Classification (F16)
|
100% |
134
192.4 IPS |
|
|
Text Classification (I8)
|
94% |
137
196.3 IPS |
|
|
Machine Translation (F32)
|
100% |
247
4.55 IPS |
|
|
Machine Translation (F16)
|
100% |
250
4.60 IPS |
|
|
Machine Translation (I8)
|
67% |
246
4.52 IPS |
