HP Victus by HP 15L Gaming Desktop TG02-0xxx
Geekbench AI Score
10018
Single Precision Score
13809
Half Precision Score
7333
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | xiaochen |
| Upload Date | March 06 2025 06:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP Victus by HP 15L Gaming Desktop TG02-0xxx |
| Motherboard | HP 89B5 |
| Power Plan | HP Recommended |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700F |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4872
906.1 IPS |
|
|
Image Classification (HP)
|
100% |
4876
906.8 IPS |
|
|
Image Classification (Q)
|
99% |
3841
716.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6079
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7082
114.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5398
87.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
39807
46.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
176536
206.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34894
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
5899
467.9 IPS |
|
|
Object Detection (HP)
|
100% |
5899
467.9 IPS |
|
|
Object Detection (Q)
|
84% |
4724
381.1 IPS |
|
|
Face Detection (SP)
|
100% |
11633
138.2 IPS |
|
|
Face Detection (HP)
|
100% |
11267
133.9 IPS |
|
|
Face Detection (Q)
|
97% |
9722
115.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21875
168.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
29797
230.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
17281
138.4 IPS |
|
|
Style Transfer (SP)
|
100% |
76242
98.0 IPS |
|
|
Style Transfer (HP)
|
100% |
221432
284.7 IPS |
|
|
Style Transfer (Q)
|
98% |
64829
83.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15175
560.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24961
921.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10497
388.7 IPS |
|
|
Text Classification (SP)
|
100% |
1958
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1727
2.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1025
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2542
43.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2188
37.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1123
21.1 IPS |
