HP HP Desktop M01-F1xxx
Geekbench AI Score
2601
Single Precision Score
1222
Half Precision Score
3706
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2215
411.8 IPS |
|
|
Image Classification (HP)
|
100% |
446
83.0 IPS |
|
|
Image Classification (Q)
|
96% |
3046
568.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1040
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
3657
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4541
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
3661
4.27 IPS |
|
|
Pose Estimation (Q)
|
86% |
7903
9.34 IPS |
|
|
Object Detection (SP)
|
100% |
2098
166.4 IPS |
|
|
Object Detection (HP)
|
100% |
563
44.6 IPS |
|
|
Object Detection (Q)
|
58% |
2111
230.6 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
1118
13.3 IPS |
|
|
Face Detection (Q)
|
96% |
5270
62.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5560
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1718
13.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6953
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10600
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8510
10.9 IPS |
|
|
Style Transfer (Q)
|
87% |
11315
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1893
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1660
61.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3160
117.1 IPS |
|
|
Text Classification (SP)
|
100% |
1195
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
719
960.1 IPS |
|
|
Text Classification (Q)
|
97% |
1046
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1597
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (Q)
|
68% |
1922
37.1 IPS |
