HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench AI Score
15676
Single Precision Score
26731
Half Precision Score
12592
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 01:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fb2xxx |
| Motherboard | HP 8C2F |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6596
1.23 KIPS |
|
|
Image Classification (HP)
|
99% |
11154
2.08 KIPS |
|
|
Image Classification (Q)
|
99% |
6001
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12139
196.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14034
227.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10860
176.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
72188
84.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
218091
254.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
64918
76.1 IPS |
|
|
Object Detection (SP)
|
100% |
8002
634.7 IPS |
|
|
Object Detection (HP)
|
100% |
15048
1.19 KIPS |
|
|
Object Detection (Q)
|
84% |
7186
579.6 IPS |
|
|
Face Detection (SP)
|
100% |
19495
231.6 IPS |
|
|
Face Detection (HP)
|
100% |
31302
371.9 IPS |
|
|
Face Detection (Q)
|
97% |
16789
200.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
36545
281.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
77018
593.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
30422
243.4 IPS |
|
|
Style Transfer (SP)
|
100% |
133448
171.5 IPS |
|
|
Style Transfer (HP)
|
100% |
317292
407.9 IPS |
|
|
Style Transfer (Q)
|
98% |
119651
154.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24459
903.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43042
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18800
696.1 IPS |
|
|
Text Classification (SP)
|
100% |
2549
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
3077
4.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1711
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3269
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3580
61.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1677
31.4 IPS |
