HP Victus by HP Laptop 16-d012xxx
Geekbench AI Score
2240
Single Precision Score
3332
Half Precision Score
5257
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Seb_Vince |
| Upload Date | July 13 2025 07:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1316
244.8 IPS |
|
|
Image Classification (HP)
|
100% |
2112
392.7 IPS |
|
|
Image Classification (Q)
|
99% |
3023
563.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3514
57.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4470
72.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3817
4.45 IPS |
|
|
Pose Estimation (HP)
|
99% |
2835
3.31 IPS |
|
|
Pose Estimation (Q)
|
97% |
11714
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1281
101.6 IPS |
|
|
Object Detection (HP)
|
98% |
2037
162.1 IPS |
|
|
Object Detection (Q)
|
90% |
3853
308.0 IPS |
|
|
Face Detection (SP)
|
100% |
4301
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
6956
82.6 IPS |
|
|
Face Detection (Q)
|
100% |
9866
117.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4356
33.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
7522
58.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
10037
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10004
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16681
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26635
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1800
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2881
106.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5793
214.5 IPS |
|
|
Text Classification (SP)
|
71% |
786
1.14 KIPS |
|
|
Text Classification (HP)
|
71% |
872
1.26 KIPS |
|
|
Text Classification (Q)
|
92% |
965
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (HP)
|
98% |
1797
31.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1794
30.9 IPS |
