HP Victus by HP Laptop 16-e0xxx
Geekbench AI Score
6417
Single Precision Score
5037
Half Precision Score
4812
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | F0xMaster |
| Upload Date | December 23 2025 01:00 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| 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% |
2723
506.4 IPS |
|
|
Image Classification (HP)
|
100% |
2478
460.9 IPS |
|
|
Image Classification (Q)
|
99% |
2313
431.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4402
71.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3540
57.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3783
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22994
26.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14949
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
20594
24.1 IPS |
|
|
Object Detection (SP)
|
100% |
3120
247.4 IPS |
|
|
Object Detection (HP)
|
100% |
2944
233.5 IPS |
|
|
Object Detection (Q)
|
83% |
2702
218.3 IPS |
|
|
Face Detection (SP)
|
100% |
7255
86.2 IPS |
|
|
Face Detection (HP)
|
100% |
5891
70.0 IPS |
|
|
Face Detection (Q)
|
97% |
6292
75.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14469
111.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10854
83.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
11397
91.0 IPS |
|
|
Style Transfer (SP)
|
100% |
42636
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29246
37.6 IPS |
|
|
Style Transfer (Q)
|
98% |
36765
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9183
339.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6955
256.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6041
223.7 IPS |
|
|
Text Classification (SP)
|
100% |
1467
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
896
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
850
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2286
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2341
40.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1010
18.9 IPS |
