HP Victus by HP Gaming Laptop 16-s0xxx
Geekbench AI Score
5283
Single Precision Score
5250
Half Precision Score
14312
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 07:02 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 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% |
3552
660.5 IPS |
|
|
Image Classification (HP)
|
100% |
3276
609.2 IPS |
|
|
Image Classification (Q)
|
100% |
9165
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3822
62.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3799
61.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9288
150.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7437
8.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
7299
8.52 IPS |
|
|
Pose Estimation (Q)
|
98% |
28441
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
3082
244.5 IPS |
|
|
Object Detection (HP)
|
100% |
3026
240.0 IPS |
|
|
Object Detection (Q)
|
88% |
9717
778.9 IPS |
|
|
Face Detection (SP)
|
100% |
6118
72.7 IPS |
|
|
Face Detection (HP)
|
100% |
6041
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
22457
266.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7844
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9015
69.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
24616
191.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19522
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19004
24.4 IPS |
|
|
Style Transfer (Q)
|
98% |
74722
96.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3889
143.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3700
136.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13706
507.6 IPS |
|
|
Text Classification (SP)
|
100% |
3493
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
3565
4.76 KIPS |
|
|
Text Classification (Q)
|
92% |
5153
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4282
73.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4241
73.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5256
90.5 IPS |
