HP Victus by HP Gaming Laptop 16-r0xxx
Geekbench AI Score
13644
Single Precision Score
23181
Half Precision Score
10462
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Kekko01 |
| Upload Date | August 17 2024 09:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP Victus by HP Gaming Laptop 16-r0xxx |
| Motherboard | HP 8BBE |
| Power Plan | Prestazioni elevate |
| 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% |
5411
1.01 KIPS |
|
|
Image Classification (HP)
|
99% |
9742
1.82 KIPS |
|
|
Image Classification (Q)
|
100% |
4789
890.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9104
147.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12180
197.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8268
134.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
67752
79.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
207706
242.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
59692
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
6780
537.8 IPS |
|
|
Object Detection (HP)
|
100% |
10981
871.0 IPS |
|
|
Object Detection (Q)
|
89% |
6127
490.5 IPS |
|
|
Face Detection (SP)
|
100% |
14411
171.2 IPS |
|
|
Face Detection (HP)
|
100% |
22953
272.7 IPS |
|
|
Face Detection (Q)
|
97% |
11969
142.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
30384
234.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
62849
484.2 IPS |
|
|
Depth Estimation (Q)
|
70% |
24440
205.1 IPS |
|
|
Style Transfer (SP)
|
100% |
113883
146.4 IPS |
|
|
Style Transfer (HP)
|
100% |
283112
363.9 IPS |
|
|
Style Transfer (Q)
|
98% |
102296
131.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23223
857.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36656
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16690
618.0 IPS |
|
|
Text Classification (SP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (HP)
|
99% |
3420
4.56 KIPS |
|
|
Text Classification (Q)
|
97% |
1630
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2930
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3234
55.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1333
29.7 IPS |
