HP Victus by HP Gaming Laptop 16-s1xxx
Geekbench AI Score
6068
Single Precision Score
6111
Half Precision Score
17300
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Fraxxed16 |
| Upload Date | June 13 2025 12:54 AM |
| Views | 2 |
| Notes | Stock |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP Victus by HP Gaming Laptop 16-s1xxx |
| Motherboard | HP 8C9C |
| Power Plan | Balanced |
| 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% |
4010
745.8 IPS |
|
|
Image Classification (HP)
|
100% |
3972
738.7 IPS |
|
|
Image Classification (Q)
|
100% |
11593
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4488
72.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4529
73.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12064
195.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7904
9.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
7960
9.29 IPS |
|
|
Pose Estimation (Q)
|
98% |
31381
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
3395
269.3 IPS |
|
|
Object Detection (HP)
|
100% |
3471
275.3 IPS |
|
|
Object Detection (Q)
|
88% |
11925
955.9 IPS |
|
|
Face Detection (SP)
|
100% |
6728
79.9 IPS |
|
|
Face Detection (HP)
|
100% |
6630
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
27257
323.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9843
75.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9874
76.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
29520
229.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21358
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21385
27.5 IPS |
|
|
Style Transfer (Q)
|
98% |
83299
107.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4639
171.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4699
173.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16298
603.6 IPS |
|
|
Text Classification (SP)
|
100% |
3990
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4070
5.43 KIPS |
|
|
Text Classification (Q)
|
92% |
5840
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5356
92.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5466
94.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7193
123.9 IPS |
