HP Victus by HP Gaming Laptop 15-fa1xxx
Geekbench AI Score
2843
Single Precision Score
1271
Half Precision Score
4667
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | guilovt |
| Upload Date | July 10 2025 02:46 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13500H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fa1xxx |
| Motherboard | HP 8BB1 |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2219
412.7 IPS |
|
|
Image Classification (HP)
|
100% |
485
90.2 IPS |
|
|
Image Classification (Q)
|
99% |
4365
814.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
848
13.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4248
69.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4783
5.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3337
3.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
14567
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2142
169.9 IPS |
|
|
Object Detection (HP)
|
100% |
601
47.6 IPS |
|
|
Object Detection (Q)
|
86% |
4105
329.9 IPS |
|
|
Face Detection (SP)
|
100% |
4013
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
1275
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
6678
79.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5778
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1774
13.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
11343
90.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10540
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7894
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
13503
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1968
72.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1545
57.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4018
148.8 IPS |
|
|
Text Classification (SP)
|
100% |
1410
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
694
925.8 IPS |
|
|
Text Classification (Q)
|
97% |
476
638.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1637
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2260
45.4 IPS |
