HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench ML Score
3210
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | xiaochen |
| Upload Date | August 23 2024 01:15 AM |
| Views | 7 |
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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1852
346.5 IPS |
|
|
Image Classification (F16)
|
100% |
1501
280.9 IPS |
|
|
Image Classification (I8)
|
99% |
4767
892.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
980
16.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1382
23.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2175
36.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5794
7.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
5918
7.17 IPS |
|
|
Pose Estimation (I8)
|
100% |
20691
25.1 IPS |
|
|
Object Detection (F32)
|
100% |
1679
125.3 IPS |
|
|
Object Detection (F16)
|
100% |
1268
94.6 IPS |
|
|
Object Detection (I8)
|
62% |
1530
114.2 IPS |
|
|
Face Detection (F32)
|
100% |
2710
32.2 IPS |
|
|
Face Detection (F16)
|
100% |
2751
32.7 IPS |
|
|
Face Detection (I8)
|
89% |
4533
53.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5735
44.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
6361
49.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
15065
116.8 IPS |
|
|
Style Transfer (F32)
|
100% |
13713
18.0 IPS |
|
|
Style Transfer (F16)
|
100% |
13794
18.1 IPS |
|
|
Style Transfer (I8)
|
98% |
20488
27.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2582
92.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2404
85.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3564
127.3 IPS |
|
|
Text Classification (F32)
|
100% |
1775
2.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1852
2.66 KIPS |
|
|
Text Classification (I8)
|
98% |
364
523.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1861
34.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1937
35.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2544
46.8 IPS |
