HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench ML Score
2182
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | xiaochen |
| Upload Date | August 20 2024 11:52 PM |
| Views | 2 |
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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1074
201.1 IPS |
|
|
Image Classification (F16)
|
100% |
675
126.3 IPS |
|
|
Image Classification (I8)
|
99% |
2518
471.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
883
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
718
12.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1514
25.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
3099
3.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
4186
5.07 IPS |
|
|
Pose Estimation (I8)
|
100% |
14618
17.7 IPS |
|
|
Object Detection (F32)
|
100% |
1109
82.8 IPS |
|
|
Object Detection (F16)
|
100% |
1118
83.4 IPS |
|
|
Object Detection (I8)
|
62% |
1123
83.9 IPS |
|
|
Face Detection (F32)
|
100% |
1288
15.3 IPS |
|
|
Face Detection (F16)
|
100% |
1467
17.4 IPS |
|
|
Face Detection (I8)
|
89% |
2833
33.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4010
31.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
4845
37.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
9218
71.5 IPS |
|
|
Style Transfer (F32)
|
100% |
9720
12.8 IPS |
|
|
Style Transfer (F16)
|
100% |
9569
12.6 IPS |
|
|
Style Transfer (I8)
|
98% |
11386
15.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1830
65.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1823
65.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2789
99.6 IPS |
|
|
Text Classification (F32)
|
100% |
1613
2.32 KIPS |
|
|
Text Classification (F16)
|
100% |
1629
2.34 KIPS |
|
|
Text Classification (I8)
|
98% |
364
523.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1376
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1353
24.9 IPS |
|
|
Machine Translation (I8)
|
67% |
1890
34.8 IPS |
