HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench ML Score
1206
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 01:06 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% |
628
117.5 IPS |
|
|
Image Classification (F16)
|
100% |
616
115.3 IPS |
|
|
Image Classification (I8)
|
99% |
1745
326.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
462
7.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
506
8.46 IPS |
|
|
Image Segmentation (I8)
|
98% |
962
16.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
1591
1.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
1698
2.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
8139
9.86 IPS |
|
|
Object Detection (F32)
|
100% |
541
40.4 IPS |
|
|
Object Detection (F16)
|
100% |
537
40.1 IPS |
|
|
Object Detection (I8)
|
62% |
605
45.1 IPS |
|
|
Face Detection (F32)
|
100% |
1186
14.1 IPS |
|
|
Face Detection (F16)
|
100% |
1180
14.0 IPS |
|
|
Face Detection (I8)
|
89% |
2240
26.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1777
13.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
1818
14.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
5471
42.4 IPS |
|
|
Style Transfer (F32)
|
100% |
4011
5.28 IPS |
|
|
Style Transfer (F16)
|
100% |
4004
5.27 IPS |
|
|
Style Transfer (I8)
|
98% |
5856
7.70 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
817
29.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
797
28.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1403
50.1 IPS |
|
|
Text Classification (F32)
|
100% |
642
923.3 IPS |
|
|
Text Classification (F16)
|
100% |
651
935.1 IPS |
|
|
Text Classification (I8)
|
98% |
184
264.9 IPS |
|
|
Machine Translation (F32)
|
100% |
969
17.8 IPS |
|
|
Machine Translation (F16)
|
100% |
975
17.9 IPS |
|
|
Machine Translation (I8)
|
67% |
1376
25.3 IPS |
