HP Victus by HP Laptop 16-e0xxx
Geekbench AI Score
2873
Single Precision Score
3787
Half Precision Score
2150
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | F0xMaster |
| Upload Date | December 23 2025 12:58 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP Victus by HP Laptop 16-e0xxx |
| Motherboard | HP 88EB |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1296
240.9 IPS |
|
|
Image Classification (HP)
|
100% |
1546
287.5 IPS |
|
|
Image Classification (Q)
|
100% |
1145
212.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1580
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1102
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9642
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17053
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
8139
9.53 IPS |
|
|
Object Detection (SP)
|
100% |
1358
107.7 IPS |
|
|
Object Detection (HP)
|
100% |
1511
119.9 IPS |
|
|
Object Detection (Q)
|
88% |
1198
96.0 IPS |
|
|
Face Detection (SP)
|
100% |
2834
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
3755
44.6 IPS |
|
|
Face Detection (Q)
|
97% |
2322
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5697
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8665
66.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
4363
34.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17538
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26647
34.3 IPS |
|
|
Style Transfer (Q)
|
98% |
13943
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3976
146.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6253
230.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2747
101.7 IPS |
|
|
Text Classification (SP)
|
100% |
991
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
997
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
639
855.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1560
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1785
30.7 IPS |
|
|
Machine Translation (Q)
|
70% |
692
13.0 IPS |
