HP Victus by HP Laptop 16-d1xxx
Geekbench AI Score
13194
Single Precision Score
22380
Half Precision Score
9183
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mvbantas74 |
| Upload Date | May 08 2025 10:03 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP Victus by HP Laptop 16-d1xxx |
| Motherboard | HP 8A25 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4767
886.6 IPS |
|
|
Image Classification (HP)
|
99% |
8836
1.65 KIPS |
|
|
Image Classification (Q)
|
99% |
3918
730.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
8955
145.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13698
222.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7254
117.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
68495
79.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
176096
205.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
57142
67.0 IPS |
|
|
Object Detection (SP)
|
100% |
6383
506.3 IPS |
|
|
Object Detection (HP)
|
100% |
10719
850.2 IPS |
|
|
Object Detection (Q)
|
85% |
5135
413.4 IPS |
|
|
Face Detection (SP)
|
100% |
15714
186.7 IPS |
|
|
Face Detection (HP)
|
100% |
25561
303.7 IPS |
|
|
Face Detection (Q)
|
97% |
12547
149.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
33375
257.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
59498
459.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
22640
181.2 IPS |
|
|
Style Transfer (SP)
|
100% |
115791
148.9 IPS |
|
|
Style Transfer (HP)
|
100% |
286468
368.3 IPS |
|
|
Style Transfer (Q)
|
98% |
94111
121.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18324
676.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31940
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12695
470.1 IPS |
|
|
Text Classification (SP)
|
100% |
2498
3.33 KIPS |
|
|
Text Classification (HP)
|
99% |
3154
4.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1132
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3082
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3145
54.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1332
25.0 IPS |
