HP Victus by HP Gaming Laptop 15-fa2xxx
Geekbench AI Score
3381
Single Precision Score
1509
Half Precision Score
6482
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 08:27 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 8DCD |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3065
570.0 IPS |
|
|
Image Classification (HP)
|
100% |
575
107.0 IPS |
|
|
Image Classification (Q)
|
99% |
5765
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1092
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7431
120.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5642
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3770
4.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
17634
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
2332
185.0 IPS |
|
|
Object Detection (HP)
|
100% |
758
60.1 IPS |
|
|
Object Detection (Q)
|
86% |
5802
466.3 IPS |
|
|
Face Detection (SP)
|
100% |
4254
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
1500
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
8198
97.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6817
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2066
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
11972
95.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12038
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9194
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
11960
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2499
92.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1857
68.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5228
193.6 IPS |
|
|
Text Classification (SP)
|
100% |
1671
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
845
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1530
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2057
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3183
64.0 IPS |
