HP Victus by HP Gaming Laptop 16-s0xxx
Geekbench AI Score
5703
Single Precision Score
5698
Half Precision Score
15714
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 10 2025 01:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP Victus by HP Gaming Laptop 16-s0xxx |
| Motherboard | HP 8BD4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3699
687.9 IPS |
|
|
Image Classification (HP)
|
100% |
3623
673.8 IPS |
|
|
Image Classification (Q)
|
100% |
10594
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4274
69.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4318
70.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10645
172.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7395
8.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
7327
8.55 IPS |
|
|
Pose Estimation (Q)
|
98% |
28711
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
3179
252.2 IPS |
|
|
Object Detection (HP)
|
100% |
3081
244.4 IPS |
|
|
Object Detection (Q)
|
88% |
10732
860.3 IPS |
|
|
Face Detection (SP)
|
100% |
7618
90.5 IPS |
|
|
Face Detection (HP)
|
100% |
7718
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
24804
294.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9058
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9089
70.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
25757
200.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20094
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20411
26.2 IPS |
|
|
Style Transfer (Q)
|
98% |
77465
99.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4133
152.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4095
151.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15038
556.9 IPS |
|
|
Text Classification (SP)
|
100% |
3482
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
3528
4.71 KIPS |
|
|
Text Classification (Q)
|
92% |
5210
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4909
84.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4945
85.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6815
117.4 IPS |
