HP Victus by HP Laptop 16-e0xxx
Geekbench AI Score
2731
Single Precision Score
1323
Half Precision Score
4283
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | F0xMaster |
| Upload Date | December 23 2025 12:53 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600H |
| 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% |
2347
436.5 IPS |
|
|
Image Classification (HP)
|
100% |
510
94.8 IPS |
|
|
Image Classification (Q)
|
96% |
3628
677.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
719
11.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
4344
70.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4217
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3482
4.06 IPS |
|
|
Pose Estimation (Q)
|
86% |
8466
10.0 IPS |
|
|
Object Detection (SP)
|
100% |
2099
166.5 IPS |
|
|
Object Detection (HP)
|
100% |
648
51.4 IPS |
|
|
Object Detection (Q)
|
58% |
2644
288.8 IPS |
|
|
Face Detection (SP)
|
100% |
3284
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
1269
15.1 IPS |
|
|
Face Detection (Q)
|
96% |
5983
71.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5689
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1886
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8040
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10071
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8654
11.1 IPS |
|
|
Style Transfer (Q)
|
87% |
12624
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1848
68.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1614
59.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3135
116.2 IPS |
|
|
Text Classification (SP)
|
100% |
1588
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
803
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1273
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1921
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
740
12.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2431
47.0 IPS |
