HP Victus by HP Gaming Laptop 15-fb3xxx
Geekbench AI Score
2758
Single Precision Score
1554
Half Precision Score
6871
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 07:40 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% |
2121
394.5 IPS |
|
|
Image Classification (HP)
|
100% |
617
114.7 IPS |
|
|
Image Classification (Q)
|
99% |
6151
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
993
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7443
121.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3878
4.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3303
3.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
16258
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2011
159.5 IPS |
|
|
Object Detection (HP)
|
100% |
801
63.5 IPS |
|
|
Object Detection (Q)
|
86% |
5939
477.3 IPS |
|
|
Face Detection (SP)
|
100% |
3547
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
1509
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
8508
101.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5342
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2253
17.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
13822
110.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9473
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8587
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17629
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1769
65.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1790
66.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3899
144.4 IPS |
|
|
Text Classification (SP)
|
100% |
1887
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1098
1.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1918
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2037
35.1 IPS |
|
|
Machine Translation (HP)
|
100% |
886
15.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3426
68.8 IPS |
