HP HP Desktop M01-F1xxx
Geekbench AI Score
2471
Single Precision Score
2514
Half Precision Score
3650
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | December 25 2025 05:52 PM |
| Views | 6 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1473
273.9 IPS |
|
|
Image Classification (HP)
|
100% |
1484
276.0 IPS |
|
|
Image Classification (Q)
|
100% |
2300
427.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1588
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1746
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2752
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2653
3.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2770
3.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
5897
6.92 IPS |
|
|
Object Detection (SP)
|
100% |
1549
122.8 IPS |
|
|
Object Detection (HP)
|
100% |
1619
128.4 IPS |
|
|
Object Detection (Q)
|
87% |
2601
208.6 IPS |
|
|
Face Detection (SP)
|
100% |
3010
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (Q)
|
97% |
6912
82.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4130
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3941
30.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
6509
51.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9691
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9544
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16963
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1809
66.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1793
66.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3536
131.0 IPS |
|
|
Text Classification (SP)
|
100% |
1845
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1879
2.51 KIPS |
|
|
Text Classification (Q)
|
91% |
687
923.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2197
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2161
37.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2333
40.2 IPS |
