HP Victus by HP Gaming Laptop 15-fa2xxx
Geekbench AI Score
2391
Single Precision Score
2572
Half Precision Score
1574
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 08:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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 i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1104
205.3 IPS |
|
|
Image Classification (HP)
|
100% |
1211
225.1 IPS |
|
|
Image Classification (Q)
|
100% |
944
175.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1484
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1768
28.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1123
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7525
8.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
9709
11.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
4683
5.49 IPS |
|
|
Object Detection (SP)
|
100% |
1175
93.2 IPS |
|
|
Object Detection (HP)
|
98% |
1054
83.9 IPS |
|
|
Object Detection (Q)
|
86% |
996
80.0 IPS |
|
|
Face Detection (SP)
|
100% |
2073
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
2731
32.4 IPS |
|
|
Face Detection (Q)
|
97% |
1558
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4599
35.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5236
40.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
3379
27.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17573
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24064
30.9 IPS |
|
|
Style Transfer (Q)
|
98% |
12038
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2844
105.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3961
146.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1313
48.6 IPS |
|
|
Text Classification (SP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
473
630.7 IPS |
|
|
Text Classification (Q)
|
97% |
498
667.2 IPS |
|
|
Machine Translation (SP)
|
100% |
920
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
899
15.5 IPS |
|
|
Machine Translation (Q)
|
70% |
458
8.58 IPS |
