HP Victus by HP Gaming Laptop 15-fa2xxx
Geekbench AI Score
5206
Single Precision Score
9496
Half Precision Score
3865
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | kailash1456 |
| Upload Date | April 17 2026 04:54 AM |
| Views | 3 |
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-fa2xxx |
| Motherboard | HP 8DCD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13420H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2110
392.5 IPS |
|
|
Image Classification (HP)
|
99% |
3455
644.4 IPS |
|
|
Image Classification (Q)
|
99% |
1874
349.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3435
55.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5393
87.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2740
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24199
28.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
78304
91.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
19802
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
2623
208.0 IPS |
|
|
Object Detection (HP)
|
100% |
4990
395.8 IPS |
|
|
Object Detection (Q)
|
84% |
2208
178.1 IPS |
|
|
Face Detection (SP)
|
100% |
5210
61.9 IPS |
|
|
Face Detection (HP)
|
100% |
9463
112.4 IPS |
|
|
Face Detection (Q)
|
97% |
4370
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13926
107.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
27272
210.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
10295
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
46645
60.0 IPS |
|
|
Style Transfer (HP)
|
100% |
121596
156.3 IPS |
|
|
Style Transfer (Q)
|
98% |
36107
46.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6433
237.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12499
461.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4588
169.9 IPS |
|
|
Text Classification (SP)
|
100% |
854
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1141
1.52 KIPS |
|
|
Text Classification (Q)
|
97% |
559
749.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1710
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1830
31.5 IPS |
|
|
Machine Translation (Q)
|
70% |
797
14.9 IPS |
