HP Victus by HP Gaming Laptop 16-s0xxx
Geekbench AI Score
3149
Single Precision Score
1400
Half Precision Score
6056
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 06:53 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| 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% |
2656
494.0 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.3 IPS |
|
|
Image Classification (Q)
|
99% |
7076
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1259
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
628
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3075
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5099
5.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
4330
5.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
21723
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
2165
171.7 IPS |
|
|
Object Detection (HP)
|
100% |
598
47.4 IPS |
|
|
Object Detection (Q)
|
86% |
6691
537.8 IPS |
|
|
Face Detection (SP)
|
100% |
4401
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
1459
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
9401
112.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7373
56.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2228
17.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6607
52.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12727
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11419
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22440
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1945
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1981
73.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3325
123.1 IPS |
|
|
Text Classification (SP)
|
100% |
1769
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
731
975.1 IPS |
|
|
Text Classification (Q)
|
97% |
1690
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1831
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2680
53.8 IPS |
