HP Victus by HP Gaming Laptop 15-fa1xxx
Geekbench AI Score
978
Single Precision Score
581
Half Precision Score
2391
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 13 2025 07:48 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12450H |
| 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% |
1353
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
342
63.6 IPS |
|
|
Image Classification (Q)
|
99% |
2746
512.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
529
8.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
3666
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2788
3.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
2061
2.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
9392
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (Q)
|
86% |
2951
237.2 IPS |
|
|
Face Detection (SP)
|
100% |
3248
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
970
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
4865
58.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3765
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1223
9.42 IPS |
|
|
Depth Estimation (Q)
|
78% |
7002
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6611
8.50 IPS |
|
|
Style Transfer (HP)
|
100% |
4832
6.21 IPS |
|
|
Style Transfer (Q)
|
98% |
11870
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
177
6.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
151
5.58 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
249
9.22 IPS |
|
|
Text Classification (SP)
|
100% |
72
96.0 IPS |
|
|
Text Classification (HP)
|
100% |
44
59.3 IPS |
|
|
Text Classification (Q)
|
97% |
101
134.9 IPS |
|
|
Machine Translation (SP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (HP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2154
43.3 IPS |
