HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench AI Score
1367
Single Precision Score
709
Half Precision Score
3139
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 11 2025 10:36 AM |
| Views | 5 |
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-fb2xxx |
| Motherboard | HP 8C2F |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1381
256.8 IPS |
|
|
Image Classification (HP)
|
100% |
343
63.9 IPS |
|
|
Image Classification (Q)
|
99% |
3517
655.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
802
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
448
7.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
3972
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2797
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1649
1.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
7504
8.80 IPS |
|
|
Object Detection (SP)
|
100% |
835
66.2 IPS |
|
|
Object Detection (HP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (Q)
|
86% |
2446
196.6 IPS |
|
|
Face Detection (SP)
|
100% |
1647
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
902
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
5935
70.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2279
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
882
6.80 IPS |
|
|
Depth Estimation (Q)
|
78% |
3565
28.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4671
6.00 IPS |
|
|
Style Transfer (HP)
|
100% |
4003
5.15 IPS |
|
|
Style Transfer (Q)
|
98% |
8198
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
785
29.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
742
27.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2189
81.0 IPS |
|
|
Text Classification (SP)
|
100% |
681
908.7 IPS |
|
|
Text Classification (HP)
|
100% |
348
464.2 IPS |
|
|
Text Classification (Q)
|
97% |
716
958.7 IPS |
|
|
Machine Translation (SP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
580
9.99 IPS |
|
|
Machine Translation (Q)
|
65% |
1336
26.8 IPS |
