HP HP ProBook 450 15.6 inch G9 Notebook PC
Geekbench ML Score
2240
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 18 2024 10:58 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP ProBook 450 15.6 inch G9 Notebook PC |
| Motherboard | HP 8978 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1255U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.70 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1101
206.1 IPS |
|
|
Image Classification (F16)
|
100% |
1099
205.6 IPS |
|
|
Image Classification (I8)
|
100% |
898
168.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1619
27.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1742
29.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1238
20.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
10106
12.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
10113
12.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
5174
6.27 IPS |
|
|
Object Detection (F32)
|
100% |
1205
90.0 IPS |
|
|
Object Detection (F16)
|
100% |
1231
91.9 IPS |
|
|
Object Detection (I8)
|
54% |
1017
75.9 IPS |
|
|
Face Detection (F32)
|
100% |
2289
27.2 IPS |
|
|
Face Detection (F16)
|
100% |
2311
27.5 IPS |
|
|
Face Detection (I8)
|
89% |
1512
18.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5302
41.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5315
41.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
3740
29.0 IPS |
|
|
Style Transfer (F32)
|
100% |
21385
28.1 IPS |
|
|
Style Transfer (F16)
|
100% |
22661
29.8 IPS |
|
|
Style Transfer (I8)
|
98% |
13742
18.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3245
115.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3306
118.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1395
49.8 IPS |
|
|
Text Classification (F32)
|
100% |
781
1.12 KIPS |
|
|
Text Classification (F16)
|
100% |
786
1.13 KIPS |
|
|
Text Classification (I8)
|
98% |
402
577.4 IPS |
|
|
Machine Translation (F32)
|
100% |
996
18.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1005
18.5 IPS |
|
|
Machine Translation (I8)
|
70% |
518
9.53 IPS |
