HP Victus by HP Gaming Laptop 15-fa2xxx
Geekbench AI Score
14376
Single Precision Score
27982
Half Precision Score
11646
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 11:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fa2xxx |
| Motherboard | HP 8E5C |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5912
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
12225
2.27 KIPS |
|
|
Image Classification (Q)
|
99% |
5556
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10246
166.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16809
272.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9809
159.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
63148
73.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
226429
264.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
63540
74.4 IPS |
|
|
Object Detection (SP)
|
100% |
7682
609.3 IPS |
|
|
Object Detection (HP)
|
100% |
14684
1.16 KIPS |
|
|
Object Detection (Q)
|
87% |
6961
558.6 IPS |
|
|
Face Detection (SP)
|
100% |
19240
228.6 IPS |
|
|
Face Detection (HP)
|
100% |
31646
376.0 IPS |
|
|
Face Detection (Q)
|
97% |
17787
212.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
34301
264.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78883
607.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
28882
230.9 IPS |
|
|
Style Transfer (SP)
|
100% |
101497
130.5 IPS |
|
|
Style Transfer (HP)
|
100% |
356205
457.9 IPS |
|
|
Style Transfer (Q)
|
98% |
87208
112.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20053
740.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35845
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15378
569.4 IPS |
|
|
Text Classification (SP)
|
100% |
2719
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1670
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3514
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3942
67.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1655
31.1 IPS |
