HP HP Desktop M01-F3xxx
Geekbench AI Score
2089
Single Precision Score
1016
Half Precision Score
3509
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 14 2025 01:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Desktop M01-F3xxx |
| Motherboard | HP 8AB6 |
| Power Plan | Consigliati da HP |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2211
411.1 IPS |
|
|
Image Classification (HP)
|
100% |
446
82.9 IPS |
|
|
Image Classification (Q)
|
96% |
3234
604.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
983
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
520
8.43 IPS |
|
|
Image Segmentation (Q)
|
97% |
2008
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2858
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2446
2.85 IPS |
|
|
Pose Estimation (Q)
|
86% |
7008
8.29 IPS |
|
|
Object Detection (SP)
|
100% |
1372
108.9 IPS |
|
|
Object Detection (HP)
|
100% |
471
37.4 IPS |
|
|
Object Detection (Q)
|
58% |
2095
228.9 IPS |
|
|
Face Detection (SP)
|
100% |
2722
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
1081
12.8 IPS |
|
|
Face Detection (Q)
|
96% |
6154
73.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3877
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1543
11.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
7420
59.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7420
9.54 IPS |
|
|
Style Transfer (HP)
|
100% |
6122
7.87 IPS |
|
|
Style Transfer (Q)
|
87% |
11117
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1408
52.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1205
44.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2231
82.7 IPS |
|
|
Text Classification (SP)
|
100% |
1048
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
687
916.7 IPS |
|
|
Text Classification (Q)
|
97% |
1290
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1608
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
523
9.01 IPS |
|
|
Machine Translation (Q)
|
68% |
2034
39.3 IPS |
