HP HP Desktop M01-F1xxx
Geekbench AI Score
2568
Single Precision Score
1169
Half Precision Score
3329
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | April 08 2025 03:41 PM |
| Views | 7 |
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% |
1998
371.6 IPS |
|
|
Image Classification (HP)
|
100% |
409
76.1 IPS |
|
|
Image Classification (Q)
|
96% |
2888
539.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1024
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
1928
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4510
5.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
3704
4.32 IPS |
|
|
Pose Estimation (Q)
|
86% |
7819
9.24 IPS |
|
|
Object Detection (SP)
|
100% |
1980
157.0 IPS |
|
|
Object Detection (HP)
|
100% |
536
42.5 IPS |
|
|
Object Detection (Q)
|
58% |
2094
228.8 IPS |
|
|
Face Detection (SP)
|
100% |
2954
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
1086
12.9 IPS |
|
|
Face Detection (Q)
|
96% |
5200
62.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5525
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1691
13.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
6751
53.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10657
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8538
11.0 IPS |
|
|
Style Transfer (Q)
|
87% |
11242
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1906
70.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1680
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2236
82.8 IPS |
|
|
Text Classification (SP)
|
100% |
1282
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
638
851.7 IPS |
|
|
Text Classification (Q)
|
97% |
1069
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1611
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
559
9.62 IPS |
|
|
Machine Translation (Q)
|
68% |
1946
37.6 IPS |
