HP Victus by HP Gaming Laptop 15-fa1xxx
Geekbench AI Score
6653
Single Precision Score
12313
Half Precision Score
4766
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 04 2025 01:01 PM |
| Views | 1 |
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% |
2709
503.9 IPS |
|
|
Image Classification (HP)
|
99% |
5117
954.3 IPS |
|
|
Image Classification (Q)
|
99% |
2331
434.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4094
66.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7105
115.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3441
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27175
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
88454
103.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
22513
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
3318
263.2 IPS |
|
|
Object Detection (HP)
|
100% |
6366
505.0 IPS |
|
|
Object Detection (Q)
|
84% |
2725
219.8 IPS |
|
|
Face Detection (SP)
|
100% |
6583
78.2 IPS |
|
|
Face Detection (HP)
|
100% |
11012
130.8 IPS |
|
|
Face Detection (Q)
|
97% |
5377
64.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16225
125.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
33235
256.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
12202
97.7 IPS |
|
|
Style Transfer (SP)
|
100% |
53838
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
138484
178.0 IPS |
|
|
Style Transfer (Q)
|
98% |
41222
53.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8144
300.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15867
585.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5500
203.7 IPS |
|
|
Text Classification (SP)
|
100% |
1660
2.22 KIPS |
|
|
Text Classification (HP)
|
99% |
2090
2.79 KIPS |
|
|
Text Classification (Q)
|
97% |
905
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2187
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2328
40.1 IPS |
|
|
Machine Translation (Q)
|
70% |
914
17.1 IPS |
