HP HP Desktop M01-F1xxx
Geekbench AI Score
2478
Single Precision Score
1166
Half Precision Score
3339
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | April 08 2025 03:35 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Desktop M01-F1xxx |
| Motherboard | HP 8768 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1469
273.1 IPS |
|
|
Image Classification (HP)
|
100% |
429
79.7 IPS |
|
|
Image Classification (Q)
|
96% |
2968
554.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1020
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
618
10.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
1920
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4575
5.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
3674
4.29 IPS |
|
|
Pose Estimation (Q)
|
86% |
7848
9.28 IPS |
|
|
Object Detection (SP)
|
100% |
1993
158.1 IPS |
|
|
Object Detection (HP)
|
100% |
539
42.8 IPS |
|
|
Object Detection (Q)
|
58% |
2022
221.0 IPS |
|
|
Face Detection (SP)
|
100% |
2934
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
1065
12.7 IPS |
|
|
Face Detection (Q)
|
96% |
5240
62.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5428
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1681
12.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
6796
54.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10539
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8495
10.9 IPS |
|
|
Style Transfer (Q)
|
87% |
11256
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1878
69.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1669
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2252
83.4 IPS |
|
|
Text Classification (SP)
|
100% |
1273
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
635
847.0 IPS |
|
|
Text Classification (Q)
|
97% |
1096
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1597
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
550
9.47 IPS |
|
|
Machine Translation (Q)
|
68% |
1930
37.3 IPS |
