HP Victus by HP Gaming Laptop 15-fa1xxx
Geekbench AI Score
1529
Single Precision Score
761
Half Precision Score
3203
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | lmkofia |
| Upload Date | October 11 2025 07:51 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13420H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fa1xxx |
| Motherboard | HP 8BB2 |
| 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% |
1123
208.8 IPS |
|
|
Image Classification (HP)
|
100% |
294
54.7 IPS |
|
|
Image Classification (Q)
|
99% |
2433
453.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
450
7.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
3144
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2239
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1851
2.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
8312
9.75 IPS |
|
|
Object Detection (SP)
|
100% |
1147
91.0 IPS |
|
|
Object Detection (HP)
|
100% |
369
29.2 IPS |
|
|
Object Detection (Q)
|
86% |
2422
194.6 IPS |
|
|
Face Detection (SP)
|
100% |
2877
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
853
10.1 IPS |
|
|
Face Detection (Q)
|
97% |
3982
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3055
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1102
8.49 IPS |
|
|
Depth Estimation (Q)
|
78% |
6249
49.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5607
7.21 IPS |
|
|
Style Transfer (HP)
|
100% |
4559
5.86 IPS |
|
|
Style Transfer (Q)
|
98% |
10817
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1066
39.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
953
35.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2565
95.0 IPS |
|
|
Text Classification (SP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
406
541.3 IPS |
|
|
Text Classification (Q)
|
97% |
756
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
972
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
435
7.50 IPS |
|
|
Machine Translation (Q)
|
65% |
1417
28.5 IPS |
