HP Victus by HP Laptop 16-d012xxx
Geekbench AI Score
2626
Single Precision Score
1176
Half Precision Score
5976
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Seb_Vince |
| Upload Date | July 13 2025 07:39 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| 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% |
2132
396.5 IPS |
|
|
Image Classification (HP)
|
100% |
438
81.4 IPS |
|
|
Image Classification (Q)
|
99% |
5471
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
677
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6758
109.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3658
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3097
3.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
14535
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1945
154.3 IPS |
|
|
Object Detection (HP)
|
100% |
561
44.5 IPS |
|
|
Object Detection (Q)
|
86% |
5011
402.7 IPS |
|
|
Face Detection (SP)
|
100% |
4487
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
1208
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
7494
89.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4981
38.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1627
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11422
91.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8750
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7192
9.24 IPS |
|
|
Style Transfer (Q)
|
98% |
17509
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1728
63.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1465
54.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4790
177.4 IPS |
|
|
Text Classification (SP)
|
100% |
1352
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
732
977.1 IPS |
|
|
Text Classification (Q)
|
97% |
1205
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1771
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2494
50.1 IPS |
