HP Victus by HP Laptop 16-e0xxx
Geekbench AI Score
2324
Single Precision Score
1070
Half Precision Score
3638
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 12:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP Victus by HP Laptop 16-e0xxx |
| Motherboard | HP 88EB |
| Power Plan | HP Recommended |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2189
407.0 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.7 IPS |
|
|
Image Classification (Q)
|
96% |
3706
692.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
712
11.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
4199
68.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3761
4.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2205
2.57 IPS |
|
|
Pose Estimation (Q)
|
86% |
7526
8.90 IPS |
|
|
Object Detection (SP)
|
100% |
1938
153.7 IPS |
|
|
Object Detection (HP)
|
100% |
559
44.4 IPS |
|
|
Object Detection (Q)
|
58% |
2194
239.7 IPS |
|
|
Face Detection (SP)
|
100% |
3001
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
1189
14.1 IPS |
|
|
Face Detection (Q)
|
96% |
5840
69.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5297
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1336
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
5341
42.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6377
8.20 IPS |
|
|
Style Transfer (HP)
|
100% |
5307
6.82 IPS |
|
|
Style Transfer (Q)
|
87% |
8886
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1205
44.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1063
39.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2037
75.5 IPS |
|
|
Text Classification (SP)
|
100% |
1115
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
712
950.1 IPS |
|
|
Text Classification (Q)
|
97% |
1218
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1729
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (Q)
|
68% |
2299
44.4 IPS |
