HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench ML Score
8684
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 12:59 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 | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4262
797.5 IPS |
|
|
Image Classification (F16)
|
100% |
4074
762.3 IPS |
|
|
Image Classification (I8)
|
100% |
3847
719.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
7382
123.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
5164
86.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
6837
114.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
52252
63.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
47789
57.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
47981
58.1 IPS |
|
|
Object Detection (F32)
|
100% |
2752
205.4 IPS |
|
|
Object Detection (F16)
|
100% |
2631
196.4 IPS |
|
|
Object Detection (I8)
|
61% |
2018
150.6 IPS |
|
|
Face Detection (F32)
|
100% |
9142
108.7 IPS |
|
|
Face Detection (F16)
|
100% |
9212
109.5 IPS |
|
|
Face Detection (I8)
|
89% |
8436
100.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
21121
163.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
20348
157.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
19465
150.9 IPS |
|
|
Style Transfer (F32)
|
100% |
85305
112.2 IPS |
|
|
Style Transfer (F16)
|
100% |
84522
111.2 IPS |
|
|
Style Transfer (I8)
|
98% |
77748
102.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16726
597.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17930
640.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
13601
485.7 IPS |
|
|
Text Classification (F32)
|
100% |
1959
2.82 KIPS |
|
|
Text Classification (F16)
|
100% |
1939
2.79 KIPS |
|
|
Text Classification (I8)
|
98% |
1144
1.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
2558
47.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2564
47.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1232
22.7 IPS |
