HP Victus by HP Laptop 16-d0xxx
Geekbench AI Score
2275
Single Precision Score
2196
Half Precision Score
5907
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 07 2026 12:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-11400H @ 2.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP Victus by HP Laptop 16-d0xxx |
| Motherboard | HP 88F9 |
| Power Plan | HP Recommended |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.69 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1191
221.5 IPS |
|
|
Image Classification (HP)
|
100% |
1191
221.5 IPS |
|
|
Image Classification (Q)
|
100% |
3391
630.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1110
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3110
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2972
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2828
3.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
12268
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1797
142.6 IPS |
|
|
Object Detection (HP)
|
100% |
1231
97.6 IPS |
|
|
Object Detection (Q)
|
88% |
4622
370.5 IPS |
|
|
Face Detection (SP)
|
100% |
3169
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
3058
36.3 IPS |
|
|
Face Detection (Q)
|
100% |
6696
79.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3291
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4925
37.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
8752
68.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6969
8.96 IPS |
|
|
Style Transfer (HP)
|
100% |
6787
8.72 IPS |
|
|
Style Transfer (Q)
|
98% |
22969
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1698
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1736
64.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8041
297.8 IPS |
|
|
Text Classification (SP)
|
100% |
2111
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1004
1.34 KIPS |
|
|
Text Classification (Q)
|
92% |
3141
4.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2027
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2631
45.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2547
43.9 IPS |
