HP Victus by HP 15L Gaming Desktop TG02-0xxx
Geekbench AI Score
5055
Single Precision Score
5342
Half Precision Score
11895
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | xiaochen |
| Upload Date | March 07 2025 06:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12700F |
| 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% |
2541
472.5 IPS |
|
|
Image Classification (HP)
|
100% |
3478
646.9 IPS |
|
|
Image Classification (Q)
|
100% |
7438
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3917
63.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3994
64.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6669
108.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6834
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
7042
8.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
25545
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
2982
236.5 IPS |
|
|
Object Detection (HP)
|
100% |
3193
253.2 IPS |
|
|
Object Detection (Q)
|
88% |
7605
609.6 IPS |
|
|
Face Detection (SP)
|
100% |
5983
71.1 IPS |
|
|
Face Detection (HP)
|
100% |
6171
73.3 IPS |
|
|
Face Detection (Q)
|
100% |
17442
207.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8021
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8317
64.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
16859
131.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17894
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18977
24.4 IPS |
|
|
Style Transfer (Q)
|
98% |
74453
96.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4489
165.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4379
161.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13750
509.2 IPS |
|
|
Text Classification (SP)
|
100% |
3410
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
3452
4.61 KIPS |
|
|
Text Classification (Q)
|
92% |
4841
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4088
70.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4122
71.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4041
69.6 IPS |
