HP Victus by HP Gaming Laptop 15-fa1xxx
Geekbench AI Score
14392
Single Precision Score
24652
Half Precision Score
11393
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | guilovt |
| Upload Date | July 10 2025 02:50 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fa1xxx |
| Motherboard | HP 8BB1 |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5765
1.07 KIPS |
|
|
Image Classification (HP)
|
99% |
10457
1.95 KIPS |
|
|
Image Classification (Q)
|
99% |
5272
983.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
10276
166.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14320
232.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9021
146.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
63137
73.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
208525
243.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
56802
66.6 IPS |
|
|
Object Detection (SP)
|
100% |
7307
579.6 IPS |
|
|
Object Detection (HP)
|
100% |
12355
980.0 IPS |
|
|
Object Detection (Q)
|
84% |
6628
534.6 IPS |
|
|
Face Detection (SP)
|
100% |
16049
190.7 IPS |
|
|
Face Detection (HP)
|
100% |
24549
291.7 IPS |
|
|
Face Detection (Q)
|
97% |
14974
178.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
33073
254.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
65234
502.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
27849
222.8 IPS |
|
|
Style Transfer (SP)
|
100% |
110100
141.5 IPS |
|
|
Style Transfer (HP)
|
100% |
266792
343.0 IPS |
|
|
Style Transfer (Q)
|
98% |
98853
127.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23548
869.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38243
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17435
645.6 IPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
3469
4.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1734
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3383
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3792
65.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1652
31.0 IPS |
