HP Victus by HP Gaming Laptop 15-fb3xxx
Geekbench AI Score
7331
Single Precision Score
11111
Half Precision Score
5569
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 12:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| 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% |
2918
542.7 IPS |
|
|
Image Classification (HP)
|
100% |
4245
789.4 IPS |
|
|
Image Classification (Q)
|
100% |
2687
499.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3701
60.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4715
76.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3042
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
38139
44.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
70181
81.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
27722
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
100% |
3644
289.1 IPS |
|
|
Object Detection (Q)
|
87% |
2438
195.8 IPS |
|
|
Face Detection (SP)
|
100% |
5765
68.5 IPS |
|
|
Face Detection (HP)
|
100% |
11078
131.6 IPS |
|
|
Face Detection (Q)
|
97% |
4692
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15691
120.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
27286
210.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
12888
103.4 IPS |
|
|
Style Transfer (SP)
|
100% |
62968
80.9 IPS |
|
|
Style Transfer (HP)
|
100% |
111204
143.0 IPS |
|
|
Style Transfer (Q)
|
98% |
41563
53.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12664
467.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21474
792.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8047
298.0 IPS |
|
|
Text Classification (SP)
|
100% |
1905
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1533
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3208
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3357
57.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1676
31.4 IPS |
