HP Victus by HP Gaming Laptop 15-fb3xxx
Geekbench AI Score
1993
Single Precision Score
1034
Half Precision Score
4923
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 01:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8645HS w/ Radeon 760M 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 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% |
1532
284.9 IPS |
|
|
Image Classification (HP)
|
100% |
402
74.9 IPS |
|
|
Image Classification (Q)
|
99% |
3757
700.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
832
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
536
8.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
5635
91.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3060
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2819
3.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
14209
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1462
116.0 IPS |
|
|
Object Detection (HP)
|
100% |
511
40.5 IPS |
|
|
Object Detection (Q)
|
86% |
4391
352.9 IPS |
|
|
Face Detection (SP)
|
100% |
2889
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
1035
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
6488
77.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3725
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1527
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
7088
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7016
9.02 IPS |
|
|
Style Transfer (HP)
|
100% |
6221
8.00 IPS |
|
|
Style Transfer (Q)
|
98% |
12900
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1262
46.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1156
42.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3839
142.1 IPS |
|
|
Text Classification (SP)
|
100% |
1251
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
616
822.2 IPS |
|
|
Text Classification (Q)
|
97% |
1295
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1455
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2149
43.2 IPS |
