HP Victus by HP Laptop 16-d0xxx
Geekbench AI Score
10273
Single Precision Score
19283
Half Precision Score
7140
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 07 2026 12:14 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Ti Laptop GPU |
| 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% |
4401
818.5 IPS |
|
|
Image Classification (HP)
|
99% |
8346
1.56 KIPS |
|
|
Image Classification (Q)
|
99% |
3545
661.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6588
106.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11206
181.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5356
87.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
41451
48.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
148876
173.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
35017
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
5240
415.6 IPS |
|
|
Object Detection (HP)
|
100% |
10385
823.7 IPS |
|
|
Object Detection (Q)
|
84% |
4134
333.4 IPS |
|
|
Face Detection (SP)
|
100% |
11208
133.2 IPS |
|
|
Face Detection (HP)
|
100% |
19839
235.7 IPS |
|
|
Face Detection (Q)
|
97% |
9008
107.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23959
184.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
52438
405.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
17519
140.5 IPS |
|
|
Style Transfer (SP)
|
100% |
73860
94.9 IPS |
|
|
Style Transfer (HP)
|
100% |
194157
249.6 IPS |
|
|
Style Transfer (Q)
|
98% |
59040
76.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15192
561.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28162
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
9129
338.1 IPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
99% |
2860
3.82 KIPS |
|
|
Text Classification (Q)
|
97% |
1157
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3043
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3022
52.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1274
23.9 IPS |
