HP HP Desktop M01-F1xxx
Geekbench AI Score
2399
Single Precision Score
2377
Half Precision Score
3408
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | June 28 2025 01:21 PM |
| Views | 4 |
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% |
1715
318.9 IPS |
|
|
Image Classification (HP)
|
100% |
1833
340.9 IPS |
|
|
Image Classification (Q)
|
100% |
2849
529.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1669
27.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2420
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3403
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
3490
4.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
6171
7.24 IPS |
|
|
Object Detection (SP)
|
100% |
1792
142.1 IPS |
|
|
Object Detection (HP)
|
100% |
1772
140.5 IPS |
|
|
Object Detection (Q)
|
87% |
2013
161.4 IPS |
|
|
Face Detection (SP)
|
100% |
2530
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
2556
30.4 IPS |
|
|
Face Detection (Q)
|
97% |
5590
66.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3032
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3217
24.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
7647
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10668
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7975
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
14039
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1443
53.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1323
48.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3061
113.4 IPS |
|
|
Text Classification (SP)
|
100% |
1561
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1911
2.55 KIPS |
|
|
Text Classification (Q)
|
91% |
706
949.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1706
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1843
31.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1903
32.8 IPS |
