HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench ML Score
11760
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 14 2025 02:34 PM |
| Views | 6 |
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% |
5737
1.07 KIPS |
|
|
Image Classification (F16)
|
100% |
5648
1.06 KIPS |
|
|
Image Classification (I8)
|
100% |
5132
960.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
8719
145.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
8774
146.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
7956
132.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
58548
70.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
58040
70.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
56690
68.6 IPS |
|
|
Object Detection (F32)
|
100% |
4266
318.5 IPS |
|
|
Object Detection (F16)
|
100% |
4501
336.0 IPS |
|
|
Object Detection (I8)
|
61% |
4304
321.3 IPS |
|
|
Face Detection (F32)
|
100% |
14945
177.7 IPS |
|
|
Face Detection (F16)
|
100% |
15055
179.0 IPS |
|
|
Face Detection (I8)
|
89% |
12189
144.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
28506
221.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
33490
259.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
24026
186.3 IPS |
|
|
Style Transfer (F32)
|
100% |
114710
150.9 IPS |
|
|
Style Transfer (F16)
|
100% |
96773
127.3 IPS |
|
|
Style Transfer (I8)
|
98% |
87198
114.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20748
741.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21210
757.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15094
539.0 IPS |
|
|
Text Classification (F32)
|
100% |
2403
3.45 KIPS |
|
|
Text Classification (F16)
|
100% |
2364
3.40 KIPS |
|
|
Text Classification (I8)
|
98% |
1527
2.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
3487
64.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3435
63.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1915
35.2 IPS |
