HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench ML Score
10641
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | xiaochen |
| Upload Date | August 20 2024 11:46 PM |
| Views | 3 |
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% |
4890
915.1 IPS |
|
|
Image Classification (F16)
|
100% |
5113
956.9 IPS |
|
|
Image Classification (I8)
|
100% |
4556
852.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
7614
127.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
7189
120.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
6744
112.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
57871
70.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
60395
73.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
52888
64.0 IPS |
|
|
Object Detection (F32)
|
100% |
3755
280.3 IPS |
|
|
Object Detection (F16)
|
100% |
4017
299.9 IPS |
|
|
Object Detection (I8)
|
61% |
3832
286.1 IPS |
|
|
Face Detection (F32)
|
100% |
12718
151.2 IPS |
|
|
Face Detection (F16)
|
100% |
11964
142.3 IPS |
|
|
Face Detection (I8)
|
89% |
10046
119.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
27272
211.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
28408
220.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
24571
190.5 IPS |
|
|
Style Transfer (F32)
|
100% |
101285
133.2 IPS |
|
|
Style Transfer (F16)
|
100% |
93935
123.6 IPS |
|
|
Style Transfer (I8)
|
98% |
86264
113.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20688
738.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20780
742.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14109
503.9 IPS |
|
|
Text Classification (F32)
|
100% |
2132
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
2389
3.43 KIPS |
|
|
Text Classification (I8)
|
98% |
1500
2.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
2782
51.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2819
51.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1658
30.5 IPS |
