HP Victus by HP Gaming Laptop 16-s0xxx
Geekbench AI Score
1962
Single Precision Score
1765
Half Precision Score
4856
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 06:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | HP Victus by HP Gaming Laptop 16-s0xxx |
| Motherboard | HP 8BD4 |
| Power Plan | Utilisation normale |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
727
135.3 IPS |
|
|
Image Classification (HP)
|
100% |
566
105.3 IPS |
|
|
Image Classification (Q)
|
100% |
1635
304.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
928
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
577
9.35 IPS |
|
|
Image Segmentation (Q)
|
99% |
955
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1584
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1348
1.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
17417
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
725
57.5 IPS |
|
|
Object Detection (HP)
|
100% |
689
54.7 IPS |
|
|
Object Detection (Q)
|
88% |
1614
129.4 IPS |
|
|
Face Detection (SP)
|
100% |
2385
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
2381
28.3 IPS |
|
|
Face Detection (Q)
|
100% |
5968
70.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1668
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1614
12.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
5581
43.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5290
6.80 IPS |
|
|
Style Transfer (HP)
|
100% |
3805
4.89 IPS |
|
|
Style Transfer (Q)
|
98% |
11154
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3343
123.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4047
149.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14978
554.7 IPS |
|
|
Text Classification (SP)
|
100% |
3663
4.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3702
4.94 KIPS |
|
|
Text Classification (Q)
|
92% |
5325
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4253
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4426
76.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5610
96.6 IPS |
