HP Victus by HP Gaming Laptop
Geekbench AI Score
2761
Single Precision Score
1175
Half Precision Score
4859
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 02:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13500H |
| 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% |
2043
379.9 IPS |
|
|
Image Classification (HP)
|
100% |
442
82.2 IPS |
|
|
Image Classification (Q)
|
99% |
4077
760.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
764
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2644
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4625
5.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3219
3.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
14356
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2096
166.3 IPS |
|
|
Object Detection (HP)
|
100% |
557
44.2 IPS |
|
|
Object Detection (Q)
|
86% |
4322
347.3 IPS |
|
|
Face Detection (SP)
|
100% |
4349
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
1228
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
6812
81.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5794
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1681
12.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
10707
85.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10975
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7743
9.95 IPS |
|
|
Style Transfer (Q)
|
98% |
14854
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1968
72.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1530
56.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3069
113.6 IPS |
|
|
Text Classification (SP)
|
100% |
1413
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
617
823.0 IPS |
|
|
Text Classification (Q)
|
97% |
1529
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1490
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
552
9.51 IPS |
|
|
Machine Translation (Q)
|
65% |
2158
43.4 IPS |
