HP HP Desktop M01-F1xxx
Geekbench AI Score
3233
Single Precision Score
3258
Half Precision Score
4672
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | April 14 2025 03:26 PM |
| Views | 2 |
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% |
2129
395.9 IPS |
|
|
Image Classification (HP)
|
100% |
2143
398.5 IPS |
|
|
Image Classification (Q)
|
100% |
3230
600.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2181
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2202
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3774
61.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4423
5.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
4330
5.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
8560
10.0 IPS |
|
|
Object Detection (SP)
|
100% |
1963
155.7 IPS |
|
|
Object Detection (HP)
|
100% |
1947
154.4 IPS |
|
|
Object Detection (Q)
|
87% |
3116
249.9 IPS |
|
|
Face Detection (SP)
|
100% |
3386
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
3371
40.1 IPS |
|
|
Face Detection (Q)
|
97% |
8213
97.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5144
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5098
39.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
7794
61.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12475
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12523
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23761
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2551
94.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2481
91.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4422
163.8 IPS |
|
|
Text Classification (SP)
|
100% |
2178
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2176
2.90 KIPS |
|
|
Text Classification (Q)
|
91% |
889
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2567
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2921
50.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2554
44.0 IPS |
