HP Victus by HP Gaming Laptop 15-fa2xxx
Geekbench AI Score
1759
Single Precision Score
884
Half Precision Score
3663
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | kailash1456 |
| Upload Date | April 17 2026 04:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13420H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fa2xxx |
| Motherboard | HP 8DCD |
| Power Plan | Balanced |
| 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% |
1410
262.2 IPS |
|
|
Image Classification (HP)
|
100% |
342
63.6 IPS |
|
|
Image Classification (Q)
|
99% |
3012
561.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
525
8.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
3627
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2764
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
2212
2.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
9668
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1315
104.3 IPS |
|
|
Object Detection (HP)
|
100% |
422
33.4 IPS |
|
|
Object Detection (Q)
|
86% |
3077
247.3 IPS |
|
|
Face Detection (SP)
|
100% |
2350
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
853
10.1 IPS |
|
|
Face Detection (Q)
|
97% |
4555
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3721
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1326
10.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
7193
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6620
8.51 IPS |
|
|
Style Transfer (HP)
|
100% |
5637
7.25 IPS |
|
|
Style Transfer (Q)
|
98% |
9368
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1260
46.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1120
41.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3043
112.7 IPS |
|
|
Text Classification (SP)
|
100% |
983
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
503
671.7 IPS |
|
|
Text Classification (Q)
|
97% |
929
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
485
8.35 IPS |
|
|
Machine Translation (Q)
|
65% |
1543
31.0 IPS |
