HP HP Desktop M01-F3xxx
Geekbench AI Score
3675
Single Precision Score
3662
Half Precision Score
6382
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 14 2025 01:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G with Radeon Graphics |
| 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% |
2332
433.6 IPS |
|
|
Image Classification (HP)
|
100% |
2322
431.8 IPS |
|
|
Image Classification (Q)
|
100% |
4145
770.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2564
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2554
41.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4611
75.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4657
5.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
4609
5.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
10786
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
2232
177.1 IPS |
|
|
Object Detection (HP)
|
100% |
2169
172.0 IPS |
|
|
Object Detection (Q)
|
87% |
4286
343.8 IPS |
|
|
Face Detection (SP)
|
100% |
3943
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
3968
47.1 IPS |
|
|
Face Detection (Q)
|
97% |
11824
141.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5851
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5905
45.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
11325
89.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13775
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13629
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30555
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2710
100.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2692
99.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6321
234.1 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (Q)
|
91% |
1365
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3649
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3688
63.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3598
62.0 IPS |
