HP HP 250 15.6 inch G9 Notebook PC
Geekbench ML Score
292
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| User | saiht |
| Upload Date | August 11 2024 08:51 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 | DirectML |
| Device | Intel(R) UHD Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
132
24.6 IPS |
|
|
Image Classification (F16)
|
100% |
133
24.9 IPS |
|
|
Image Classification (I8)
|
100% |
120
22.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
180
3.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
179
2.98 IPS |
|
|
Image Segmentation (I8)
|
98% |
153
2.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
867
1.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
873
1.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
704
0.85 IPS |
|
|
Object Detection (F32)
|
100% |
151
11.2 IPS |
|
|
Object Detection (F16)
|
100% |
151
11.3 IPS |
|
|
Object Detection (I8)
|
56% |
137
10.2 IPS |
|
|
Face Detection (F32)
|
100% |
257
3.05 IPS |
|
|
Face Detection (F16)
|
100% |
258
3.07 IPS |
|
|
Face Detection (I8)
|
89% |
211
2.51 IPS |
|
|
Depth Estimation (F32)
|
100% |
557
4.32 IPS |
|
|
Depth Estimation (F16)
|
100% |
561
4.35 IPS |
|
|
Depth Estimation (I8)
|
95% |
472
3.66 IPS |
|
|
Style Transfer (F32)
|
100% |
2260
2.97 IPS |
|
|
Style Transfer (F16)
|
100% |
2256
2.97 IPS |
|
|
Style Transfer (I8)
|
98% |
1767
2.32 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
375
13.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
375
13.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
251
8.95 IPS |
|
|
Text Classification (F32)
|
100% |
157
225.4 IPS |
|
|
Text Classification (F16)
|
100% |
148
212.1 IPS |
|
|
Text Classification (I8)
|
98% |
92
131.9 IPS |
|
|
Machine Translation (F32)
|
100% |
187
3.45 IPS |
|
|
Machine Translation (F16)
|
100% |
188
3.46 IPS |
|
|
Machine Translation (I8)
|
70% |
117
2.15 IPS |
