HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench ML Score
1539
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 13 2025 11:33 AM |
| Views | 6 |
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% |
681
127.4 IPS |
|
|
Image Classification (F16)
|
100% |
675
126.3 IPS |
|
|
Image Classification (I8)
|
99% |
2063
386.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
638
10.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
549
9.18 IPS |
|
|
Image Segmentation (I8)
|
98% |
1422
23.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
1813
2.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
1743
2.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
9159
11.1 IPS |
|
|
Object Detection (F32)
|
100% |
806
60.2 IPS |
|
|
Object Detection (F16)
|
100% |
688
51.4 IPS |
|
|
Object Detection (I8)
|
62% |
765
57.1 IPS |
|
|
Face Detection (F32)
|
100% |
1717
20.4 IPS |
|
|
Face Detection (F16)
|
100% |
1708
20.3 IPS |
|
|
Face Detection (I8)
|
89% |
3069
36.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2369
18.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2655
20.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
6986
54.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4313
5.67 IPS |
|
|
Style Transfer (F16)
|
100% |
4582
6.03 IPS |
|
|
Style Transfer (I8)
|
98% |
13066
17.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
906
32.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
903
32.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1836
65.6 IPS |
|
|
Text Classification (F32)
|
100% |
657
944.4 IPS |
|
|
Text Classification (F16)
|
100% |
660
948.9 IPS |
|
|
Text Classification (I8)
|
98% |
592
851.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1039
19.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1049
19.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1676
30.8 IPS |
