HP Victus by HP Gaming Laptop 15-fa2xxx
Geekbench AI Score
13989
Single Precision Score
24575
Half Precision Score
10863
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 08:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 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 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% |
5725
1.06 KIPS |
|
|
Image Classification (HP)
|
99% |
10355
1.93 KIPS |
|
|
Image Classification (Q)
|
99% |
5231
975.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9696
157.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13634
221.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8830
143.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
59142
69.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
195182
227.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
51727
60.6 IPS |
|
|
Object Detection (SP)
|
100% |
6990
554.5 IPS |
|
|
Object Detection (HP)
|
100% |
12518
992.9 IPS |
|
|
Object Detection (Q)
|
84% |
6241
503.4 IPS |
|
|
Face Detection (SP)
|
100% |
16195
192.4 IPS |
|
|
Face Detection (HP)
|
100% |
27382
325.4 IPS |
|
|
Face Detection (Q)
|
97% |
14520
173.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
30227
232.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
67754
522.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
26122
209.0 IPS |
|
|
Style Transfer (SP)
|
100% |
111565
143.4 IPS |
|
|
Style Transfer (HP)
|
100% |
269724
346.7 IPS |
|
|
Style Transfer (Q)
|
98% |
92920
119.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22754
840.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37616
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16861
624.3 IPS |
|
|
Text Classification (SP)
|
100% |
3060
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3590
4.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1604
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3289
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3447
59.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1611
30.2 IPS |
