HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench AI Score
13721
Single Precision Score
23744
Half Precision Score
10972
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 24 2024 09:30 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 Home (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fb2xxx |
| Motherboard | HP 8C2F |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8645HS w/ Radeon 760M Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5967
1.11 KIPS |
|
|
Image Classification (HP)
|
99% |
10775
2.01 KIPS |
|
|
Image Classification (Q)
|
99% |
5455
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8655
140.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11139
180.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8009
130.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
62432
72.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
204401
238.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
56046
65.7 IPS |
|
|
Object Detection (SP)
|
100% |
7267
576.4 IPS |
|
|
Object Detection (HP)
|
100% |
12426
985.6 IPS |
|
|
Object Detection (Q)
|
84% |
6269
505.6 IPS |
|
|
Face Detection (SP)
|
100% |
14600
173.5 IPS |
|
|
Face Detection (HP)
|
100% |
24477
290.8 IPS |
|
|
Face Detection (Q)
|
97% |
13521
161.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
31163
240.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
61978
477.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
25569
205.0 IPS |
|
|
Style Transfer (SP)
|
100% |
105233
135.3 IPS |
|
|
Style Transfer (HP)
|
100% |
280212
360.2 IPS |
|
|
Style Transfer (Q)
|
98% |
102720
132.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23734
876.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38312
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17601
651.7 IPS |
|
|
Text Classification (SP)
|
100% |
3038
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3630
4.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1838
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2925
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3161
54.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1435
26.9 IPS |
