HP HP Desktop M01-F1xxx
Geekbench AI Score
3250
Single Precision Score
3226
Half Precision Score
4848
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | December 26 2025 02:02 PM |
| Views | 7 |
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% |
2058
382.8 IPS |
|
|
Image Classification (HP)
|
100% |
1989
369.9 IPS |
|
|
Image Classification (Q)
|
100% |
3130
582.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3719
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4240
4.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
4191
4.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
8688
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
2052
162.8 IPS |
|
|
Object Detection (HP)
|
100% |
2064
163.7 IPS |
|
|
Object Detection (Q)
|
87% |
3392
272.1 IPS |
|
|
Face Detection (SP)
|
100% |
3480
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
3293
39.1 IPS |
|
|
Face Detection (Q)
|
97% |
8717
103.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5300
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5291
40.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
8973
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12540
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12546
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24139
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2542
93.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2565
94.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5039
186.6 IPS |
|
|
Text Classification (SP)
|
100% |
2119
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2131
2.84 KIPS |
|
|
Text Classification (Q)
|
91% |
791
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2792
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2804
48.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2783
47.9 IPS |
