HP Victus by HP Gaming Laptop 15-fb3xxx
Geekbench AI Score
8622
Single Precision Score
16436
Half Precision Score
5997
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 02:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 6GB Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fb3xxx |
| Motherboard | HP 8DD0 |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3608
671.0 IPS |
|
|
Image Classification (HP)
|
99% |
7226
1.35 KIPS |
|
|
Image Classification (Q)
|
99% |
3077
573.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5237
84.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9198
149.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4348
70.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
36945
43.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
128313
149.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29818
34.9 IPS |
|
|
Object Detection (SP)
|
100% |
4360
345.9 IPS |
|
|
Object Detection (HP)
|
100% |
8641
685.4 IPS |
|
|
Object Detection (Q)
|
84% |
3533
284.9 IPS |
|
|
Face Detection (SP)
|
100% |
8417
100.0 IPS |
|
|
Face Detection (HP)
|
100% |
15334
182.2 IPS |
|
|
Face Detection (Q)
|
97% |
6726
80.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20517
158.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
42428
327.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
14598
117.1 IPS |
|
|
Style Transfer (SP)
|
100% |
65068
83.6 IPS |
|
|
Style Transfer (HP)
|
100% |
176982
227.5 IPS |
|
|
Style Transfer (Q)
|
98% |
50381
65.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12258
452.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23843
880.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7538
279.1 IPS |
|
|
Text Classification (SP)
|
100% |
1975
2.64 KIPS |
|
|
Text Classification (HP)
|
99% |
2377
3.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1041
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2744
47.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2992
51.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1100
20.6 IPS |
