HP Victus by HP Gaming Laptop 15-fa2xxx
Geekbench AI Score
2791
Single Precision Score
1204
Half Precision Score
5482
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 11:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13620H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fa2xxx |
| Motherboard | HP 8E5C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2558
475.7 IPS |
|
|
Image Classification (HP)
|
100% |
482
89.6 IPS |
|
|
Image Classification (Q)
|
99% |
4865
907.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1470
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
762
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5842
95.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4032
4.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2836
3.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
14007
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1934
153.4 IPS |
|
|
Object Detection (HP)
|
100% |
603
47.8 IPS |
|
|
Object Detection (Q)
|
86% |
4633
372.3 IPS |
|
|
Face Detection (SP)
|
100% |
4462
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
1291
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
6630
79.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5235
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1700
13.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
9937
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9469
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6969
8.96 IPS |
|
|
Style Transfer (Q)
|
98% |
14325
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1895
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1432
52.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4173
154.5 IPS |
|
|
Text Classification (SP)
|
100% |
1431
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
686
915.0 IPS |
|
|
Text Classification (Q)
|
97% |
1237
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1635
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2732
54.9 IPS |
