HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench ML Score
3023
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 07 2025 12:54 PM |
| Views | 10 |
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% |
1715
320.9 IPS |
|
|
Image Classification (F16)
|
100% |
1735
324.7 IPS |
|
|
Image Classification (I8)
|
99% |
3961
741.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
941
15.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
886
14.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2830
47.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5105
6.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
5817
7.04 IPS |
|
|
Pose Estimation (I8)
|
100% |
20467
24.8 IPS |
|
|
Object Detection (F32)
|
100% |
1832
136.8 IPS |
|
|
Object Detection (F16)
|
100% |
1289
96.2 IPS |
|
|
Object Detection (I8)
|
62% |
1669
124.6 IPS |
|
|
Face Detection (F32)
|
100% |
2369
28.2 IPS |
|
|
Face Detection (F16)
|
100% |
2566
30.5 IPS |
|
|
Face Detection (I8)
|
89% |
4590
54.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6646
51.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
5063
39.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
12171
94.4 IPS |
|
|
Style Transfer (F32)
|
100% |
8455
11.1 IPS |
|
|
Style Transfer (F16)
|
100% |
10858
14.3 IPS |
|
|
Style Transfer (I8)
|
98% |
20126
26.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2264
80.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1592
56.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3217
114.9 IPS |
|
|
Text Classification (F32)
|
100% |
1260
1.81 KIPS |
|
|
Text Classification (F16)
|
100% |
1264
1.82 KIPS |
|
|
Text Classification (I8)
|
98% |
1195
1.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
1796
33.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1725
31.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2701
49.7 IPS |
