HP Victus by HP Gaming Laptop
Geekbench AI Score
13549
Single Precision Score
23145
Half Precision Score
10783
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 02:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP Victus by HP Gaming Laptop |
| Motherboard | HP 8BB1 |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5602
1.04 KIPS |
|
|
Image Classification (HP)
|
99% |
9824
1.83 KIPS |
|
|
Image Classification (Q)
|
99% |
5058
943.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
8526
138.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11063
179.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7853
127.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
65996
77.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
202658
236.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
57764
67.7 IPS |
|
|
Object Detection (SP)
|
100% |
6791
538.7 IPS |
|
|
Object Detection (HP)
|
100% |
11562
917.1 IPS |
|
|
Object Detection (Q)
|
84% |
6177
498.2 IPS |
|
|
Face Detection (SP)
|
100% |
15511
184.3 IPS |
|
|
Face Detection (HP)
|
100% |
25005
297.1 IPS |
|
|
Face Detection (Q)
|
97% |
13999
166.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
30671
236.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
65579
505.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
25980
207.8 IPS |
|
|
Style Transfer (SP)
|
100% |
109992
141.4 IPS |
|
|
Style Transfer (HP)
|
100% |
283328
364.2 IPS |
|
|
Style Transfer (Q)
|
98% |
100387
129.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23329
861.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36325
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17059
631.7 IPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
3449
4.60 KIPS |
|
|
Text Classification (Q)
|
97% |
1617
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2682
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2977
51.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1490
27.9 IPS |
