HP Victus by HP Gaming Laptop 15-fb3xxx
Geekbench AI Score
7319
Single Precision Score
13604
Half Precision Score
5195
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 03:41 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2050 |
| 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 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3178
591.0 IPS |
|
|
Image Classification (HP)
|
99% |
5661
1.06 KIPS |
|
|
Image Classification (Q)
|
99% |
2621
488.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4630
75.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7961
129.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3749
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
29038
33.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
93165
108.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
24036
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
3669
291.0 IPS |
|
|
Object Detection (HP)
|
100% |
7162
568.1 IPS |
|
|
Object Detection (Q)
|
84% |
3078
248.2 IPS |
|
|
Face Detection (SP)
|
100% |
6823
81.1 IPS |
|
|
Face Detection (HP)
|
100% |
12505
148.6 IPS |
|
|
Face Detection (Q)
|
97% |
5877
70.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17440
134.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35686
274.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
12630
101.1 IPS |
|
|
Style Transfer (SP)
|
100% |
56730
72.9 IPS |
|
|
Style Transfer (HP)
|
100% |
153631
197.5 IPS |
|
|
Style Transfer (Q)
|
98% |
43968
56.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9424
348.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19325
713.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6269
232.1 IPS |
|
|
Text Classification (SP)
|
100% |
1759
2.35 KIPS |
|
|
Text Classification (HP)
|
99% |
2047
2.73 KIPS |
|
|
Text Classification (Q)
|
97% |
937
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2516
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2664
45.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1028
19.3 IPS |
