HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench ML Score
3372
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 14 2025 02:31 PM |
| 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% |
1711
320.2 IPS |
|
|
Image Classification (F16)
|
100% |
1790
334.9 IPS |
|
|
Image Classification (I8)
|
99% |
3154
590.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1178
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1299
21.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3018
50.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5764
6.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
5529
6.70 IPS |
|
|
Pose Estimation (I8)
|
100% |
19425
23.5 IPS |
|
|
Object Detection (F32)
|
100% |
1848
137.9 IPS |
|
|
Object Detection (F16)
|
100% |
1699
126.8 IPS |
|
|
Object Detection (I8)
|
62% |
1745
130.3 IPS |
|
|
Face Detection (F32)
|
100% |
2564
30.5 IPS |
|
|
Face Detection (F16)
|
100% |
2577
30.6 IPS |
|
|
Face Detection (I8)
|
89% |
4684
55.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6164
47.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6250
48.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
13568
105.2 IPS |
|
|
Style Transfer (F32)
|
100% |
11709
15.4 IPS |
|
|
Style Transfer (F16)
|
100% |
11916
15.7 IPS |
|
|
Style Transfer (I8)
|
98% |
20743
27.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2532
90.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2239
79.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3593
128.3 IPS |
|
|
Text Classification (F32)
|
100% |
1764
2.54 KIPS |
|
|
Text Classification (F16)
|
100% |
1740
2.50 KIPS |
|
|
Text Classification (I8)
|
98% |
1460
2.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
1963
36.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1963
36.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2778
51.1 IPS |
