HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench AI Score
2424
Single Precision Score
1222
Half Precision Score
6125
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 08 2026 12:12 AM |
| Views | 6 |
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 | Equilibrado |
| 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% |
2385
443.5 IPS |
|
|
Image Classification (HP)
|
100% |
551
102.4 IPS |
|
|
Image Classification (Q)
|
99% |
6807
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7265
118.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2849
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
2423
2.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
15607
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
1931
153.2 IPS |
|
|
Object Detection (HP)
|
100% |
438
34.7 IPS |
|
|
Object Detection (Q)
|
86% |
4690
376.9 IPS |
|
|
Face Detection (SP)
|
100% |
2345
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
900
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
6409
76.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3772
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1475
11.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7002
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6878
8.84 IPS |
|
|
Style Transfer (HP)
|
100% |
10297
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14300
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2119
78.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2035
75.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5633
208.6 IPS |
|
|
Text Classification (SP)
|
100% |
1955
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
861
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1749
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1574
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
798
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3251
65.3 IPS |
