HP OMEN Gaming Laptop 17-db0xxx
Geekbench ML Score
3741
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 18 2024 08:33 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN Gaming Laptop 17-db0xxx |
| Motherboard | HP 8C75 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 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% |
2000
374.3 IPS |
|
|
Image Classification (F16)
|
100% |
2095
392.0 IPS |
|
|
Image Classification (I8)
|
99% |
4900
916.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1086
18.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1108
18.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2450
40.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
7497
9.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
7429
9.00 IPS |
|
|
Pose Estimation (I8)
|
100% |
24285
29.4 IPS |
|
|
Object Detection (F32)
|
100% |
2110
157.5 IPS |
|
|
Object Detection (F16)
|
100% |
2113
157.8 IPS |
|
|
Object Detection (I8)
|
62% |
1981
147.9 IPS |
|
|
Face Detection (F32)
|
100% |
3445
41.0 IPS |
|
|
Face Detection (F16)
|
100% |
3345
39.8 IPS |
|
|
Face Detection (I8)
|
89% |
5234
62.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
8235
63.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
8262
64.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
16265
126.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17537
23.1 IPS |
|
|
Style Transfer (F16)
|
100% |
16979
22.3 IPS |
|
|
Style Transfer (I8)
|
98% |
26211
34.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2685
95.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3010
107.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3430
122.5 IPS |
|
|
Text Classification (F32)
|
100% |
1573
2.26 KIPS |
|
|
Text Classification (F16)
|
100% |
2027
2.91 KIPS |
|
|
Text Classification (I8)
|
98% |
394
566.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2167
39.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2088
38.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2620
48.2 IPS |
