HP Victus by HP Laptop 16-d0xxx
Geekbench AI Score
2892
Single Precision Score
1269
Half Precision Score
5472
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Mmomiri |
| Upload Date | April 12 2025 08:17 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP Victus by HP Laptop 16-d0xxx |
| Motherboard | HP 88F9 |
| Power Plan | Ultimate Performance |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2019
375.6 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.3 IPS |
|
|
Image Classification (Q)
|
99% |
5327
993.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
697
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2775
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4440
5.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
3781
4.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
17034
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2353
186.7 IPS |
|
|
Object Detection (HP)
|
100% |
568
45.0 IPS |
|
|
Object Detection (Q)
|
86% |
5976
480.3 IPS |
|
|
Face Detection (SP)
|
100% |
3631
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
1201
14.3 IPS |
|
|
Face Detection (Q)
|
97% |
8066
96.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6985
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1759
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11799
94.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10826
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10020
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15141
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2222
82.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1954
72.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3463
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
1453
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
706
941.7 IPS |
|
|
Text Classification (Q)
|
97% |
1217
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1716
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2634
52.9 IPS |
