HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench ML Score
11633
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 07 2025 12:57 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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5234
979.4 IPS |
|
|
Image Classification (F16)
|
100% |
5592
1.05 KIPS |
|
|
Image Classification (I8)
|
100% |
4992
934.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
8902
148.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
8745
146.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
8136
135.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
59094
71.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
60222
72.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
52122
63.1 IPS |
|
|
Object Detection (F32)
|
100% |
4356
325.2 IPS |
|
|
Object Detection (F16)
|
100% |
4373
326.5 IPS |
|
|
Object Detection (I8)
|
61% |
3922
292.8 IPS |
|
|
Face Detection (F32)
|
100% |
14537
172.9 IPS |
|
|
Face Detection (F16)
|
100% |
15410
183.2 IPS |
|
|
Face Detection (I8)
|
89% |
11515
136.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
27821
215.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
33311
258.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
24854
192.7 IPS |
|
|
Style Transfer (F32)
|
100% |
96641
127.1 IPS |
|
|
Style Transfer (F16)
|
100% |
98486
129.6 IPS |
|
|
Style Transfer (I8)
|
98% |
86625
113.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
21514
768.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21737
776.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15714
561.2 IPS |
|
|
Text Classification (F32)
|
100% |
2570
3.69 KIPS |
|
|
Text Classification (F16)
|
100% |
2518
3.62 KIPS |
|
|
Text Classification (I8)
|
98% |
1570
2.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
3261
60.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3223
59.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1897
34.9 IPS |
