HP HP Pavilion Desktop TP01-3xxx
Geekbench AI Score
2486
Single Precision Score
2523
Half Precision Score
6525
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | December 22 2025 10:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i3-12100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP Pavilion Desktop TP01-3xxx |
| Motherboard | HP 89B5 |
| Power Plan | HP Recommended |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1515
281.7 IPS |
|
|
Image Classification (HP)
|
100% |
1529
284.3 IPS |
|
|
Image Classification (Q)
|
100% |
4233
787.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1591
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1673
27.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3871
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2797
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2997
3.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
10749
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (HP)
|
100% |
1474
117.0 IPS |
|
|
Object Detection (Q)
|
88% |
4176
334.7 IPS |
|
|
Face Detection (SP)
|
100% |
2784
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
2797
33.2 IPS |
|
|
Face Detection (Q)
|
100% |
9087
108.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4003
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3964
30.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
10248
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8312
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8451
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29082
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1802
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1753
64.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6615
245.0 IPS |
|
|
Text Classification (SP)
|
100% |
2085
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2034
2.72 KIPS |
|
|
Text Classification (Q)
|
92% |
3783
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2749
47.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2773
47.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2810
48.4 IPS |
