HP Victus by HP Gaming Laptop 15-fb3xxx
Geekbench AI Score
3415
Single Precision Score
1617
Half Precision Score
6211
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 09:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fb3xxx |
| Motherboard | HP 8DD0 |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2766
514.4 IPS |
|
|
Image Classification (HP)
|
100% |
578
107.4 IPS |
|
|
Image Classification (Q)
|
99% |
7601
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1215
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
852
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3352
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6419
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
5130
5.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
24384
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
2540
201.5 IPS |
|
|
Object Detection (HP)
|
100% |
784
62.2 IPS |
|
|
Object Detection (Q)
|
86% |
7147
574.4 IPS |
|
|
Face Detection (SP)
|
100% |
3764
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
1513
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
8887
106.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8417
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2502
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7276
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15343
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13509
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17827
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2573
95.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2224
82.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3294
122.0 IPS |
|
|
Text Classification (SP)
|
100% |
1854
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1910
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1698
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
676
11.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2653
53.3 IPS |
