HP Victus by HP Gaming Laptop 15-fa1xxx
Geekbench AI Score
14111
Single Precision Score
24446
Half Precision Score
11259
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | feayg |
| Upload Date | May 11 2025 01:06 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fa1xxx |
| Motherboard | HP 8C2D |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5235
973.6 IPS |
|
|
Image Classification (HP)
|
99% |
9659
1.80 KIPS |
|
|
Image Classification (Q)
|
99% |
5068
945.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
9938
161.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14254
231.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9124
148.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
65083
75.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
210245
245.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
57660
67.6 IPS |
|
|
Object Detection (SP)
|
100% |
7061
560.1 IPS |
|
|
Object Detection (HP)
|
100% |
12379
981.9 IPS |
|
|
Object Detection (Q)
|
84% |
6351
512.2 IPS |
|
|
Face Detection (SP)
|
100% |
16372
194.5 IPS |
|
|
Face Detection (HP)
|
100% |
27417
325.8 IPS |
|
|
Face Detection (Q)
|
97% |
14728
175.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
32540
250.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
62504
481.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
27465
219.7 IPS |
|
|
Style Transfer (SP)
|
100% |
111652
143.5 IPS |
|
|
Style Transfer (HP)
|
100% |
274088
352.3 IPS |
|
|
Style Transfer (Q)
|
98% |
99790
128.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23506
868.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38635
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16682
617.7 IPS |
|
|
Text Classification (SP)
|
100% |
2874
3.84 KIPS |
|
|
Text Classification (HP)
|
99% |
3320
4.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1769
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3260
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3531
60.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1623
30.4 IPS |
