HP HP Desktop M01-F1xxx
Geekbench AI Score
3159
Single Precision Score
3169
Half Precision Score
4783
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | December 26 2025 01:58 PM |
| Views | 5 |
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% |
2080
386.7 IPS |
|
|
Image Classification (HP)
|
100% |
2065
384.1 IPS |
|
|
Image Classification (Q)
|
100% |
3117
579.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2046
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1954
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3668
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4120
4.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
4107
4.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
8381
9.83 IPS |
|
|
Object Detection (SP)
|
100% |
1970
156.2 IPS |
|
|
Object Detection (HP)
|
100% |
2009
159.4 IPS |
|
|
Object Detection (Q)
|
87% |
3319
266.2 IPS |
|
|
Face Detection (SP)
|
100% |
3171
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
3201
38.0 IPS |
|
|
Face Detection (Q)
|
97% |
8666
103.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5054
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5241
40.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
8878
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12222
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12497
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23819
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2524
93.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2528
93.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4962
183.8 IPS |
|
|
Text Classification (SP)
|
100% |
2123
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2131
2.84 KIPS |
|
|
Text Classification (Q)
|
91% |
800
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2731
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2719
46.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2711
46.7 IPS |
