HP Victus by HP Gaming Laptop 15-fb3xxx
Geekbench AI Score
8665
Single Precision Score
16466
Half Precision Score
5976
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | gputhread |
| Upload Date | March 03 2026 11:34 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 6GB Laptop GPU |
| 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% |
3821
710.6 IPS |
|
|
Image Classification (HP)
|
99% |
7116
1.33 KIPS |
|
|
Image Classification (Q)
|
99% |
3041
567.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5352
86.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9266
150.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4346
70.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
36774
42.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
125729
146.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29665
34.8 IPS |
|
|
Object Detection (SP)
|
100% |
4414
350.1 IPS |
|
|
Object Detection (HP)
|
100% |
8814
699.2 IPS |
|
|
Object Detection (Q)
|
84% |
3589
289.5 IPS |
|
|
Face Detection (SP)
|
100% |
8457
100.5 IPS |
|
|
Face Detection (HP)
|
100% |
15516
184.4 IPS |
|
|
Face Detection (Q)
|
97% |
6908
82.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20407
157.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
42704
329.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
14655
117.5 IPS |
|
|
Style Transfer (SP)
|
100% |
63672
81.9 IPS |
|
|
Style Transfer (HP)
|
100% |
177928
228.7 IPS |
|
|
Style Transfer (Q)
|
98% |
51136
65.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12362
456.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23520
868.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7451
275.9 IPS |
|
|
Text Classification (SP)
|
100% |
1908
2.55 KIPS |
|
|
Text Classification (HP)
|
99% |
2448
3.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1033
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2774
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2955
50.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1037
19.5 IPS |
