HP Victus by HP Gaming Laptop 15-fa2xxx
Geekbench AI Score
2462
Single Precision Score
2536
Half Precision Score
1591
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 11:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
1091
202.8 IPS |
|
|
Image Classification (HP)
|
100% |
1146
213.2 IPS |
|
|
Image Classification (Q)
|
100% |
928
172.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1782
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1144
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8286
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
9745
11.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
4870
5.70 IPS |
|
|
Object Detection (SP)
|
100% |
1220
96.8 IPS |
|
|
Object Detection (HP)
|
98% |
1045
83.2 IPS |
|
|
Object Detection (Q)
|
86% |
1024
82.3 IPS |
|
|
Face Detection (SP)
|
100% |
2308
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
2809
33.4 IPS |
|
|
Face Detection (Q)
|
97% |
1690
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4800
37.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5297
40.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
3397
27.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18494
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24325
31.3 IPS |
|
|
Style Transfer (Q)
|
98% |
12556
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2864
105.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3925
144.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1297
48.0 IPS |
|
|
Text Classification (SP)
|
100% |
922
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
437
583.0 IPS |
|
|
Text Classification (Q)
|
97% |
459
614.4 IPS |
|
|
Machine Translation (SP)
|
100% |
896
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (Q)
|
70% |
459
8.61 IPS |
