HP Victus by HP Gaming Laptop 15-fa1xxx
Geekbench AI Score
6643
Single Precision Score
12121
Half Precision Score
4667
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 16 2025 09:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fa1xxx |
| Motherboard | HP 8C3F |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2400
446.3 IPS |
|
|
Image Classification (HP)
|
99% |
4346
810.7 IPS |
|
|
Image Classification (Q)
|
99% |
2058
383.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4037
65.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6608
107.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3332
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
28019
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
83921
97.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
23023
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
3735
296.3 IPS |
|
|
Object Detection (HP)
|
100% |
5931
470.4 IPS |
|
|
Object Detection (Q)
|
84% |
2643
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
6357
75.5 IPS |
|
|
Face Detection (HP)
|
100% |
10940
130.0 IPS |
|
|
Face Detection (Q)
|
97% |
5345
63.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16259
125.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
34450
265.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
11799
94.5 IPS |
|
|
Style Transfer (SP)
|
100% |
53705
69.0 IPS |
|
|
Style Transfer (HP)
|
100% |
138612
178.2 IPS |
|
|
Style Transfer (Q)
|
98% |
41575
53.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7991
295.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17626
650.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5524
204.6 IPS |
|
|
Text Classification (SP)
|
100% |
1897
2.53 KIPS |
|
|
Text Classification (HP)
|
99% |
2497
3.33 KIPS |
|
|
Text Classification (Q)
|
97% |
902
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1963
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2083
35.9 IPS |
|
|
Machine Translation (Q)
|
70% |
901
16.9 IPS |
