HP HP Desktop M01-F1xxx
Geekbench AI Score
2650
Single Precision Score
1226
Half Precision Score
3701
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | December 25 2025 06:49 PM |
| Views | 5 |
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% |
2138
397.7 IPS |
|
|
Image Classification (HP)
|
100% |
447
83.1 IPS |
|
|
Image Classification (Q)
|
96% |
3033
566.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1059
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
3665
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4540
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
3715
4.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
7901
9.34 IPS |
|
|
Object Detection (SP)
|
100% |
2068
164.0 IPS |
|
|
Object Detection (HP)
|
100% |
562
44.6 IPS |
|
|
Object Detection (Q)
|
58% |
2073
226.5 IPS |
|
|
Face Detection (SP)
|
100% |
3009
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
1109
13.2 IPS |
|
|
Face Detection (Q)
|
96% |
5213
62.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5629
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1711
13.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6937
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10518
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8580
11.0 IPS |
|
|
Style Transfer (Q)
|
87% |
11395
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1926
71.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1673
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3170
117.5 IPS |
|
|
Text Classification (SP)
|
100% |
1443
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
739
986.2 IPS |
|
|
Text Classification (Q)
|
97% |
1068
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1627
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (Q)
|
68% |
1902
36.7 IPS |
