HP Victus by HP Laptop 16-d012xxx
Geekbench AI Score
4456
Single Precision Score
4500
Half Precision Score
11847
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Seb_Vince |
| Upload Date | July 13 2025 07:44 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-11800H @ 2.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP Victus by HP Laptop 16-d012xxx |
| Motherboard | HP 88F8 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2652
493.1 IPS |
|
|
Image Classification (HP)
|
100% |
2734
508.5 IPS |
|
|
Image Classification (Q)
|
100% |
8228
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3659
59.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3637
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8853
143.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4947
5.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
4788
5.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
19659
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
2584
205.0 IPS |
|
|
Object Detection (HP)
|
100% |
2556
202.7 IPS |
|
|
Object Detection (Q)
|
88% |
8335
668.1 IPS |
|
|
Face Detection (SP)
|
100% |
6659
79.1 IPS |
|
|
Face Detection (HP)
|
100% |
7093
84.3 IPS |
|
|
Face Detection (Q)
|
100% |
20021
237.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6750
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6884
53.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
20354
158.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13741
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14176
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
54669
70.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3242
119.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3112
114.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11249
416.6 IPS |
|
|
Text Classification (SP)
|
100% |
2915
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (Q)
|
92% |
4251
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4268
73.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4410
76.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4286
73.8 IPS |
