HP HP Desktop M01-F1xxx
Geekbench AI Score
2677
Single Precision Score
1230
Half Precision Score
3733
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | December 27 2025 02:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10400 |
| 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% |
2209
410.8 IPS |
|
|
Image Classification (HP)
|
100% |
451
83.9 IPS |
|
|
Image Classification (Q)
|
96% |
3058
571.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1077
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
3670
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4643
5.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
3732
4.35 IPS |
|
|
Pose Estimation (Q)
|
86% |
7912
9.35 IPS |
|
|
Object Detection (SP)
|
100% |
2087
165.5 IPS |
|
|
Object Detection (HP)
|
100% |
567
45.0 IPS |
|
|
Object Detection (Q)
|
58% |
2106
230.1 IPS |
|
|
Face Detection (SP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
1116
13.3 IPS |
|
|
Face Detection (Q)
|
96% |
5292
63.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5591
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1725
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6973
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10495
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8517
10.9 IPS |
|
|
Style Transfer (Q)
|
87% |
11485
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1895
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1675
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3195
118.4 IPS |
|
|
Text Classification (SP)
|
100% |
1468
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
740
987.3 IPS |
|
|
Text Classification (Q)
|
97% |
1071
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1626
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
624
10.8 IPS |
|
|
Machine Translation (Q)
|
68% |
1938
37.5 IPS |
