HP Victus by HP Gaming Laptop 16-s0xxx
Geekbench AI Score
2319
Single Precision Score
988
Half Precision Score
4178
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 08:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP Victus by HP Gaming Laptop 16-s0xxx |
| Motherboard | HP 8BD5 |
| Power Plan | Balanced |
| 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% |
2006
373.0 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.6 IPS |
|
|
Image Classification (Q)
|
99% |
4153
774.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
720
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
522
8.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
2367
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4916
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3663
4.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
18022
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2000
158.6 IPS |
|
|
Object Detection (HP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (Q)
|
86% |
4227
339.7 IPS |
|
|
Face Detection (SP)
|
100% |
3100
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
934
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
7292
86.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6265
48.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1552
12.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
5983
47.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10090
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8303
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
16153
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1348
49.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1217
44.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2000
74.1 IPS |
|
|
Text Classification (SP)
|
100% |
1026
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
452
603.0 IPS |
|
|
Text Classification (Q)
|
97% |
1070
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
433
7.46 IPS |
|
|
Machine Translation (Q)
|
65% |
1438
28.9 IPS |
