HP Victus by HP 15L Gaming Desktop TG02-0xxx
Geekbench AI Score
10394
Single Precision Score
14262
Half Precision Score
7520
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | xiaochen |
| Upload Date | March 07 2025 06:43 PM |
| Views | 5 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5070
942.8 IPS |
|
|
Image Classification (HP)
|
100% |
5011
931.9 IPS |
|
|
Image Classification (Q)
|
99% |
3963
739.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6860
111.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7791
126.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5782
94.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
40288
47.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
181662
212.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
35687
41.8 IPS |
|
|
Object Detection (SP)
|
100% |
5961
472.8 IPS |
|
|
Object Detection (HP)
|
100% |
5991
475.2 IPS |
|
|
Object Detection (Q)
|
84% |
4795
386.7 IPS |
|
|
Face Detection (SP)
|
100% |
12066
143.4 IPS |
|
|
Face Detection (HP)
|
100% |
11767
139.8 IPS |
|
|
Face Detection (Q)
|
97% |
10159
121.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
22840
176.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
30584
236.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
17576
140.7 IPS |
|
|
Style Transfer (SP)
|
100% |
77426
99.5 IPS |
|
|
Style Transfer (HP)
|
100% |
224839
289.0 IPS |
|
|
Style Transfer (Q)
|
98% |
65685
84.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15438
570.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25419
938.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10599
392.5 IPS |
|
|
Text Classification (SP)
|
100% |
1919
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1708
2.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1023
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2790
48.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2334
40.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1161
21.8 IPS |
