HP HP ProBook 450 15.6 inch G9 Notebook PC
Geekbench ML Score
2086
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 18 2024 11:00 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1248
233.6 IPS |
|
|
Image Classification (F16)
|
100% |
1338
250.4 IPS |
|
|
Image Classification (I8)
|
97% |
1670
312.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1088
18.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1061
17.7 IPS |
|
|
Image Segmentation (I8)
|
97% |
1566
26.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
3309
4.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
3395
4.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
4764
5.77 IPS |
|
|
Object Detection (F32)
|
100% |
1343
100.3 IPS |
|
|
Object Detection (F16)
|
100% |
1342
100.2 IPS |
|
|
Object Detection (I8)
|
60% |
1041
77.8 IPS |
|
|
Face Detection (F32)
|
100% |
1999
23.8 IPS |
|
|
Face Detection (F16)
|
100% |
2006
23.9 IPS |
|
|
Face Detection (I8)
|
87% |
2613
31.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4015
31.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3870
30.0 IPS |
|
|
Depth Estimation (I8)
|
74% |
5654
43.8 IPS |
|
|
Style Transfer (F32)
|
100% |
8626
11.3 IPS |
|
|
Style Transfer (F16)
|
100% |
7319
9.63 IPS |
|
|
Style Transfer (I8)
|
85% |
8729
11.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1787
63.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1864
66.6 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2336
83.4 IPS |
|
|
Text Classification (F32)
|
100% |
1144
1.64 KIPS |
|
|
Text Classification (F16)
|
100% |
1133
1.63 KIPS |
|
|
Text Classification (I8)
|
94% |
448
643.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1364
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1398
25.7 IPS |
|
|
Machine Translation (I8)
|
67% |
1736
31.9 IPS |
