HP Victus by HP Gaming Laptop 15-fa1xxx
Geekbench AI Score
2665
Single Precision Score
1262
Half Precision Score
3048
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | hb315 |
| Upload Date | March 30 2025 01:30 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13420H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fa1xxx |
| Motherboard | HP 8BB1 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13420H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2136
397.1 IPS |
|
|
Image Classification (HP)
|
100% |
490
91.2 IPS |
|
|
Image Classification (Q)
|
96% |
2773
517.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
672
10.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
1871
30.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4085
4.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3304
3.86 IPS |
|
|
Pose Estimation (Q)
|
86% |
7201
8.51 IPS |
|
|
Object Detection (SP)
|
100% |
1903
151.0 IPS |
|
|
Object Detection (HP)
|
100% |
611
48.4 IPS |
|
|
Object Detection (Q)
|
58% |
1798
196.5 IPS |
|
|
Face Detection (SP)
|
100% |
4283
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
1359
16.2 IPS |
|
|
Face Detection (Q)
|
96% |
5258
62.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5259
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1914
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
7337
58.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9847
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8019
10.3 IPS |
|
|
Style Transfer (Q)
|
87% |
11597
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1889
69.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1680
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2490
92.3 IPS |
|
|
Text Classification (SP)
|
100% |
1439
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
726
968.8 IPS |
|
|
Text Classification (Q)
|
97% |
549
735.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1582
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (Q)
|
68% |
1688
32.6 IPS |
