HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench ML Score
1508
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 13 2025 11:30 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fb2xxx |
| Motherboard | HP 8C2F |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8645HS w/ Radeon 760M Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 1.00 MB x 6 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
667
124.8 IPS |
|
|
Image Classification (F16)
|
100% |
676
126.5 IPS |
|
|
Image Classification (I8)
|
99% |
1921
359.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
610
10.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
503
8.39 IPS |
|
|
Image Segmentation (I8)
|
98% |
1319
22.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
1888
2.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
1888
2.29 IPS |
|
|
Pose Estimation (I8)
|
100% |
9149
11.1 IPS |
|
|
Object Detection (F32)
|
100% |
742
55.4 IPS |
|
|
Object Detection (F16)
|
100% |
667
49.8 IPS |
|
|
Object Detection (I8)
|
62% |
741
55.3 IPS |
|
|
Face Detection (F32)
|
100% |
1666
19.8 IPS |
|
|
Face Detection (F16)
|
100% |
1664
19.8 IPS |
|
|
Face Detection (I8)
|
89% |
3022
35.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2212
17.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2311
17.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
6306
48.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4358
5.73 IPS |
|
|
Style Transfer (F16)
|
100% |
5078
6.68 IPS |
|
|
Style Transfer (I8)
|
98% |
12986
17.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
904
32.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
856
30.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1843
65.8 IPS |
|
|
Text Classification (F32)
|
100% |
657
943.6 IPS |
|
|
Text Classification (F16)
|
100% |
728
1.05 KIPS |
|
|
Text Classification (I8)
|
98% |
592
850.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1024
18.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1034
19.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1630
30.0 IPS |
