HP Victus by HP Gaming Laptop 15-fb3xxx
Geekbench AI Score
13798
Single Precision Score
23763
Half Precision Score
10832
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 12:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fb3xxx |
| Motherboard | HP 8DD0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5673
1.05 KIPS |
|
|
Image Classification (HP)
|
99% |
9833
1.83 KIPS |
|
|
Image Classification (Q)
|
99% |
5098
950.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
10884
176.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16659
270.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9709
157.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
64031
74.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
193314
225.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
54319
63.6 IPS |
|
|
Object Detection (SP)
|
100% |
6968
552.7 IPS |
|
|
Object Detection (HP)
|
100% |
12954
1.03 KIPS |
|
|
Object Detection (Q)
|
84% |
6091
491.3 IPS |
|
|
Face Detection (SP)
|
100% |
16775
199.3 IPS |
|
|
Face Detection (HP)
|
100% |
26513
315.0 IPS |
|
|
Face Detection (Q)
|
97% |
14441
172.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
32420
249.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
63538
489.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
27530
220.2 IPS |
|
|
Style Transfer (SP)
|
100% |
108698
139.7 IPS |
|
|
Style Transfer (HP)
|
100% |
276500
355.4 IPS |
|
|
Style Transfer (Q)
|
98% |
97992
126.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22108
816.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34554
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16373
606.3 IPS |
|
|
Text Classification (SP)
|
100% |
2136
2.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2425
3.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1387
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3253
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3587
61.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1536
28.8 IPS |
