HP Victus by HP Laptop 16-e0xxx
Geekbench AI Score
3584
Single Precision Score
4926
Half Precision Score
2624
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | s-goude-surgar |
| Upload Date | October 24 2025 12:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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% |
1504
279.7 IPS |
|
|
Image Classification (HP)
|
100% |
1958
364.1 IPS |
|
|
Image Classification (Q)
|
100% |
1313
244.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1902
30.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1299
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11806
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
23054
26.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
9912
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1610
127.7 IPS |
|
|
Object Detection (HP)
|
100% |
2022
160.4 IPS |
|
|
Object Detection (Q)
|
88% |
1408
112.9 IPS |
|
|
Face Detection (SP)
|
100% |
3308
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
4783
56.8 IPS |
|
|
Face Detection (Q)
|
97% |
2698
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8062
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12116
93.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
6132
49.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22775
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38103
49.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17591
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5049
186.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7797
287.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3304
122.3 IPS |
|
|
Text Classification (SP)
|
100% |
1243
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1282
1.71 KIPS |
|
|
Text Classification (Q)
|
97% |
798
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2078
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2198
37.9 IPS |
|
|
Machine Translation (Q)
|
70% |
849
15.9 IPS |
