HP Victus by HP Gaming Laptop 15-fb3xxx
Geekbench AI Score
2711
Single Precision Score
1554
Half Precision Score
6910
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 07:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 5 340 w/ Radeon 840M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fb3xxx |
| Motherboard | HP 8DD2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 5 340 w/ Radeon 840M |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1917
356.5 IPS |
|
|
Image Classification (HP)
|
100% |
620
115.3 IPS |
|
|
Image Classification (Q)
|
99% |
6392
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1093
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
998
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7232
117.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3945
4.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3354
3.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
16119
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
1879
149.0 IPS |
|
|
Object Detection (HP)
|
100% |
800
63.4 IPS |
|
|
Object Detection (Q)
|
86% |
6208
498.9 IPS |
|
|
Face Detection (SP)
|
100% |
3748
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
1570
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
8536
101.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5262
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2143
16.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
13644
108.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9285
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8625
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17893
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1896
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1765
65.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3815
141.3 IPS |
|
|
Text Classification (SP)
|
100% |
1973
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1083
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1922
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2018
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
893
15.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3512
70.6 IPS |
