HP Victus by HP Gaming Laptop 16-s0xxx
Geekbench AI Score
2056
Single Precision Score
964
Half Precision Score
4426
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 04:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP Victus by HP Gaming Laptop 16-s0xxx |
| Motherboard | HP 8BD4 |
| Power Plan | Zrwnowaony |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1611
299.7 IPS |
|
|
Image Classification (HP)
|
100% |
351
65.3 IPS |
|
|
Image Classification (Q)
|
99% |
4697
876.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
651
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
473
7.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
2259
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3239
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2894
3.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
13440
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (HP)
|
100% |
433
34.4 IPS |
|
|
Object Detection (Q)
|
86% |
4232
340.1 IPS |
|
|
Face Detection (SP)
|
100% |
3763
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
1030
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
7188
85.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4181
32.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1497
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
5105
40.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7999
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7207
9.26 IPS |
|
|
Style Transfer (Q)
|
98% |
19438
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1328
49.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1242
45.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2364
87.5 IPS |
|
|
Text Classification (SP)
|
100% |
1036
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
475
634.2 IPS |
|
|
Text Classification (Q)
|
97% |
1239
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1530
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
509
8.77 IPS |
|
|
Machine Translation (Q)
|
65% |
2291
46.0 IPS |
