HP Victus by HP Laptop 16-e0xxx
Geekbench AI Score
2545
Single Precision Score
1176
Half Precision Score
4336
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | s-goude-surgar |
| Upload Date | October 24 2025 12:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | HP Victus by HP Laptop 16-e0xxx |
| Motherboard | HP 88EE |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1830
340.4 IPS |
|
|
Image Classification (HP)
|
100% |
409
76.0 IPS |
|
|
Image Classification (Q)
|
96% |
3483
650.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
602
9.76 IPS |
|
|
Image Segmentation (Q)
|
97% |
4810
78.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4196
4.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
3541
4.13 IPS |
|
|
Pose Estimation (Q)
|
86% |
9436
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
2274
180.4 IPS |
|
|
Object Detection (HP)
|
100% |
625
49.6 IPS |
|
|
Object Detection (Q)
|
58% |
2961
323.5 IPS |
|
|
Face Detection (SP)
|
100% |
3859
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
1154
13.7 IPS |
|
|
Face Detection (Q)
|
96% |
6859
81.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5823
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1842
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
5923
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6995
8.99 IPS |
|
|
Style Transfer (HP)
|
100% |
6605
8.49 IPS |
|
|
Style Transfer (Q)
|
87% |
12560
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1414
52.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1169
43.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3520
130.4 IPS |
|
|
Text Classification (SP)
|
100% |
1483
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
779
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1287
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1887
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2171
42.0 IPS |
