HP HP Desktop M01-F1xxx
Geekbench AI Score
3318
Single Precision Score
3325
Half Precision Score
4894
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | December 26 2025 01:50 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2163
402.2 IPS |
|
|
Image Classification (HP)
|
100% |
2162
402.0 IPS |
|
|
Image Classification (Q)
|
100% |
3212
597.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3822
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4231
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
4256
4.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
8417
9.87 IPS |
|
|
Object Detection (SP)
|
100% |
2083
165.2 IPS |
|
|
Object Detection (HP)
|
100% |
2115
167.8 IPS |
|
|
Object Detection (Q)
|
87% |
3330
267.0 IPS |
|
|
Face Detection (SP)
|
100% |
3636
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
3623
43.0 IPS |
|
|
Face Detection (Q)
|
97% |
9004
107.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5430
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5443
41.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
9091
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12630
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12777
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
23918
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2589
95.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2602
96.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5115
189.5 IPS |
|
|
Text Classification (SP)
|
100% |
2157
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2166
2.89 KIPS |
|
|
Text Classification (Q)
|
91% |
804
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2812
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2864
49.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2850
49.1 IPS |
