HP HP Desktop M01-F1xxx
Geekbench AI Score
2147
Single Precision Score
1045
Half Precision Score
3274
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | December 25 2025 06:55 PM |
| Views | 3 |
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% |
1633
303.7 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.2 IPS |
|
|
Image Classification (Q)
|
96% |
2567
479.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
860
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
580
9.40 IPS |
|
|
Image Segmentation (Q)
|
97% |
3210
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3487
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2865
3.34 IPS |
|
|
Pose Estimation (Q)
|
86% |
6823
8.07 IPS |
|
|
Object Detection (SP)
|
100% |
1609
127.6 IPS |
|
|
Object Detection (HP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (Q)
|
58% |
1872
204.6 IPS |
|
|
Face Detection (SP)
|
100% |
2647
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
976
11.6 IPS |
|
|
Face Detection (Q)
|
96% |
4717
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4401
33.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1497
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
6243
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8723
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6528
8.39 IPS |
|
|
Style Transfer (Q)
|
87% |
9856
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1554
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1286
47.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2903
107.6 IPS |
|
|
Text Classification (SP)
|
100% |
1239
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
645
860.9 IPS |
|
|
Text Classification (Q)
|
97% |
939
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1353
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (Q)
|
68% |
1700
32.8 IPS |
