HP HP Desktop M01-F1xxx
Geekbench AI Score
2362
Single Precision Score
2359
Half Precision Score
3509
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | June 28 2025 01:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10400 CPU @ 2.90GHz |
| 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% |
1034
192.4 IPS |
|
|
Image Classification (HP)
|
100% |
1097
204.1 IPS |
|
|
Image Classification (Q)
|
100% |
1612
299.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1239
20.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3331
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3652
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
3653
4.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
7110
8.34 IPS |
|
|
Object Detection (SP)
|
100% |
1758
139.4 IPS |
|
|
Object Detection (HP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (Q)
|
87% |
1967
157.8 IPS |
|
|
Face Detection (SP)
|
100% |
2593
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
2565
30.5 IPS |
|
|
Face Detection (Q)
|
97% |
5468
65.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4588
35.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4143
31.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
5309
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8365
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8118
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
13793
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1545
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2118
78.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4238
157.0 IPS |
|
|
Text Classification (SP)
|
100% |
1964
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1934
2.58 KIPS |
|
|
Text Classification (Q)
|
91% |
832
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2082
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2029
34.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2675
46.1 IPS |
